Datasets:

cfahlgren1

/

hub-stats

like 21

63990f21cc50af73d29ecfa3

fka/awesome-chatgpt-prompts

fka

{"license": "cc0-1.0", "tags": ["ChatGPT"], "task_categories": ["question-answering"], "size_categories": ["100K<n<1M"]}

68ba7694e23014788dcc8ab5afe613824f45a05c

🧠 Awesome ChatGPT Prompts [CSV dataset] This is a Dataset Repository of Awesome ChatGPT Prompts View All Prompts on GitHub License CC-0

6791fcbb49c4df6d798ca7c9

cais/hle

cais

{"license": "mit", "dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "image", "dtype": "string"}, {"name": "image_preview", "dtype": "image"}, {"name": "answer", "dtype": "string"}, {"name": "answer_type", "dtype": "string"}, {"name": "author_name", "dtype": "string"}, {"name": "rationale", "dtype": "string"}, {"name": "raw_subject", "dtype": "string"}, {"name": "category", "dtype": "string"}, {"name": "canary", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 170938175, "num_examples": 3000}], "download_size": 162844787, "dataset_size": 170938175}, "configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}]}

cc2f3e746c4ac9e1a6404203bdfd156df9d76e70

Humanity's Last Exam 🌐 Website | 📄 Paper | GitHub Center for AI Safety & Scale AI Humanity's Last Exam (HLE) is a multi-modal benchmark at the frontier of human knowledge, designed to be the final closed-ended academic benchmark of its kind with broad subject coverage. Humanity's Last Exam consists of 3,000 questions across dozens of subjects, including mathematics, humanities, and the natural sciences. HLE is developed globally by subject-matter experts and consists of… See the full description on the dataset page: https://huggingface.co./datasets/cais/hle.

678f6b0c2705196b8a1c6c86

bespokelabs/Bespoke-Stratos-17k

bespokelabs

{"license": "apache-2.0", "language": ["en"], "tags": ["curator", "synthetic"]}

ef97f8f2ec2bc16fa5a7d50fc9514b67e0ed45b2

Bespoke-Stratos-17k We replicated and improved the Berkeley Sky-T1 data pipeline using SFT distillation data from DeepSeek-R1 to create Bespoke-Stratos-17k -- a reasoning dataset of questions, reasoning traces, and answers. This data was used to train: Bespoke-Stratos-32B, a 32B reasoning model which is a fine-tune of Qwen-2.5-32B-Instruct Bespoke-Stratos-7B, a 7B reasoning model which is a fine-tune of Qwen-2.5-7B-Instruct. Metrics for Bespoke-Stratos-32B… See the full description on the dataset page: https://huggingface.co./datasets/bespokelabs/Bespoke-Stratos-17k.

6649d353babc0b33565e1a4a

HumanLLMs/Human-Like-DPO-Dataset

HumanLLMs

{"language": ["en"], "license": "llama3", "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data.json"}]}]}

dd82ab6a284a15765964149e6a6603ff8ed7d672

Enhancing Human-Like Responses in Large Language Models 🤗 Models | 📊 Dataset | 📄 Paper Human-Like-DPO-Dataset This dataset was created as part of research aimed at improving conversational fluency and engagement in large language models. It is suitable for formats like Direct Preference Optimization (DPO) to guide models toward generating more human-like responses. The dataset includes 10,884 samples across 256 topics, including: Technology Daily Life Science… See the full description on the dataset page: https://huggingface.co./datasets/HumanLLMs/Human-Like-DPO-Dataset.

67903c8e66393ec4510de14f

yale-nlp/MMVU

yale-nlp

c83339b82df1f21b1ceaf5f0870360043d699604

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding 🌐 Homepage • 🥇 Leaderboard • 📖 Paper • 🤗 Data 📰 News 2025-01-21: We are excited to release the MMVU paper, dataset, and evaluation code! 👋 Overview Why MMVU Benchmark? Despite the rapid progress of foundation models in both text-based and image-based expert reasoning, there is a clear gap in evaluating these models’ capabilities in specialized-domain video understanding.… See the full description on the dataset page: https://huggingface.co./datasets/yale-nlp/MMVU.

6782cb3d244c0e06b1362fed

NovaSky-AI/Sky-T1_data_17k

NovaSky-AI

{"size_categories": ["10K<n<100K"], "license": "apache-2.0"}

3e260822dae5d833d9b040e34265d5f9a2b8a6a5

Sky-T1_data_17k.json: The 17k training data used to train Sky-T1-32B-Preview. The final data contains 5k coding data from APPs and TACO, and 10k math data from AIME, MATH, and Olympiads subsets of the NuminaMATH dataset. In addition, we maintain 1k science and puzzle data from STILL-2.

6731b4fffb568a134d3f2dd6

TIGER-Lab/OmniEdit-Filtered-1.2M

TIGER-Lab

{"language": ["en"], "license": "mit", "size_categories": ["1M<n<10M"], "pretty_name": "OmniEdit", "dataset_info": {"features": [{"name": "omni_edit_id", "dtype": "string"}, {"name": "task", "dtype": "string"}, {"name": "src_img", "dtype": "image"}, {"name": "edited_img", "dtype": "image"}, {"name": "edited_prompt_list", "sequence": "string"}, {"name": "width", "dtype": "int64"}, {"name": "height", "dtype": "int64"}, {"name": "sc_score_1", "dtype": "int64"}, {"name": "sc_score_2", "dtype": "int64"}, {"name": "sc_reasoning", "dtype": "string"}, {"name": "pq_score", "dtype": "int64"}, {"name": "pq_reasoning", "dtype": "string"}, {"name": "o_score", "dtype": "float64"}], "splits": [{"name": "dev", "num_bytes": 1547839078, "num_examples": 700}, {"name": "train", "num_bytes": 2852916299223.88, "num_examples": 1202797}], "download_size": 2978259415518, "dataset_size": 2854464138301.88}, "configs": [{"config_name": "default", "data_files": [{"split": "dev", "path": "data/dev-*"}, {"split": "train", "path": "data/train-*"}]}], "tags": ["image"]}

82455c6cd66db7f0e5bfce8d7a236441af59d6df

OmniEdit In this paper, we present OMNI-EDIT, which is an omnipotent editor to handle seven different image editing tasks with any aspect ratio seamlessly. Our contribution is in four folds: (1) OMNI-EDIT is trained by utilizing the supervision from seven different specialist models to ensure task coverage. (2) we utilize importance sampling based on the scores provided by large multimodal models (like GPT-4o) instead of CLIP-score to improve the data quality. 📃Paper |… See the full description on the dataset page: https://huggingface.co./datasets/TIGER-Lab/OmniEdit-Filtered-1.2M.

6787deee734ac2badb1087a0

nvidia/AceMath-Instruct-Training-Data

nvidia

{"dataset_info": {"features": [{"name": "messages", "list": [{"name": "role", "dtype": "string"}, {"name": "content", "dtype": "string"}]}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "general_sft_stage1"}, {"name": "general_sft_stage2"}, {"name": "math_sft"}]}, "configs": [{"config_name": "default", "data_files": [{"split": "general_sft_stage1", "path": "data/general_sft_stage1.parquet"}, {"split": "general_sft_stage2", "path": "data/general_sft_stage2.parquet"}, {"split": "math_sft", "path": "data/math_sft.parquet"}]}], "license": "cc-by-nc-4.0", "language": ["en"], "pipeline_tag": "text-generation", "tags": ["nvidia", "code", "math", "general_domain", "AceMath", "AceInstruct", "sft_dataset"]}

24e49e73a3ab3aa373e904516838c32a972ba75e

website | paper AceMath-Instruct Training Data Card We release all the datasets to train AceMath-1.5B/7B/72B-Instruct models. These models are built upon the Qwen2.5-Math-Base models through a multi-stage supervised fine-tuning (SFT) process. The fine-tuning begins with general-purpose SFT data (general_sft_stage1.parquet and general_sft_stage2.parquet) and is followed by math-specific SFT data (math_sft.parquet). In our experiments, fine-tuning the Qwen2.5-Math-Base models using… See the full description on the dataset page: https://huggingface.co./datasets/nvidia/AceMath-Instruct-Training-Data.

67750882633d421965733171

DAMO-NLP-SG/multimodal_textbook

DAMO-NLP-SG

{"license": "apache-2.0", "task_categories": ["text-generation", "summarization"], "language": ["en"], "tags": ["Pretraining", "Interleaved", "Reasoning"], "size_categories": ["1M<n<10M"]}

b83d307b2682d6b12420f5b93f4360880ea89df4

Multimodal-Textbook-6.5M Overview This dataset is for "2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining", containing 6.5M images interleaving with 0.8B text from instructional videos. It contains pre-training corpus using interleaved image-text format. Specifically, our multimodal-textbook includes 6.5M keyframesextracted from instructional videos, interleaving with 0.8B ASR texts. All the images and text are extracted from online… See the full description on the dataset page: https://huggingface.co./datasets/DAMO-NLP-SG/multimodal_textbook.

621ffdd236468d709f184284

wikimedia/wikipedia

wikimedia

{"language": ["ab", "ace", "ady", "af", "alt", "am", "ami", "an", "ang", "anp", "ar", "arc", "ary", "arz", "as", "ast", "atj", "av", "avk", "awa", "ay", "az", "azb", "ba", "ban", "bar", "bbc", "bcl", "be", "bg", "bh", "bi", "bjn", "blk", "bm", "bn", "bo", "bpy", "br", "bs", "bug", "bxr", "ca", "cbk", "cdo", "ce", "ceb", "ch", "chr", "chy", "ckb", "co", "cr", "crh", "cs", "csb", "cu", "cv", "cy", "da", "dag", "de", "dga", "din", "diq", "dsb", "dty", "dv", "dz", "ee", "el", "eml", "en", "eo", "es", "et", "eu", "ext", "fa", "fat", "ff", "fi", "fj", "fo", "fon", "fr", "frp", "frr", "fur", "fy", "ga", "gag", "gan", "gcr", "gd", "gl", "glk", "gn", "gom", "gor", "got", "gpe", "gsw", "gu", "guc", "gur", "guw", "gv", "ha", "hak", "haw", "hbs", "he", "hi", "hif", "hr", "hsb", "ht", "hu", "hy", "hyw", "ia", "id", "ie", "ig", "ik", "ilo", "inh", "io", "is", "it", "iu", "ja", "jam", "jbo", "jv", "ka", "kaa", "kab", "kbd", "kbp", "kcg", "kg", "ki", "kk", "kl", "km", "kn", "ko", "koi", "krc", "ks", "ksh", "ku", "kv", "kw", "ky", "la", "lad", "lb", "lbe", "lez", "lfn", "lg", "li", "lij", "lld", "lmo", "ln", "lo", "lt", "ltg", "lv", "lzh", "mad", "mai", "map", "mdf", "mg", "mhr", "mi", "min", "mk", "ml", "mn", "mni", "mnw", "mr", "mrj", "ms", "mt", "mwl", "my", "myv", "mzn", "nah", "nan", "nap", "nds", "ne", "new", "nia", "nl", "nn", "no", "nov", "nqo", "nrf", "nso", "nv", "ny", "oc", "olo", "om", "or", "os", "pa", "pag", "pam", "pap", "pcd", "pcm", "pdc", "pfl", "pi", "pih", "pl", "pms", "pnb", "pnt", "ps", "pt", "pwn", "qu", "rm", "rmy", "rn", "ro", "ru", "rue", "rup", "rw", "sa", "sah", "sat", "sc", "scn", "sco", "sd", "se", "sg", "sgs", "shi", "shn", "si", "sk", "skr", "sl", "sm", "smn", "sn", "so", "sq", "sr", "srn", "ss", "st", "stq", "su", "sv", "sw", "szl", "szy", "ta", "tay", "tcy", "te", "tet", "tg", "th", "ti", "tk", "tl", "tly", "tn", "to", "tpi", "tr", "trv", "ts", "tt", "tum", "tw", "ty", "tyv", "udm", "ug", "uk", "ur", "uz", "ve", "vec", "vep", "vi", "vls", "vo", "vro", "wa", "war", "wo", "wuu", "xal", "xh", "xmf", "yi", "yo", "yue", "za", "zea", "zgh", "zh", "zu"], "license": ["cc-by-sa-3.0", "gfdl"], "size_categories": ["n<1K", "1K<n<10K", "10K<n<100K", "100K<n<1M", "1M<n<10M"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked-language-modeling"], "configs": [{"config_name": "20231101.ab", "data_files": [{"split": "train", "path": "20231101.ab/train-*"}]}, {"config_name": "20231101.ace", "data_files": [{"split": "train", "path": "20231101.ace/train-*"}]}, {"config_name": "20231101.ady", "data_files": [{"split": "train", "path": "20231101.ady/train-*"}]}, {"config_name": "20231101.af", "data_files": [{"split": "train", "path": "20231101.af/train-*"}]}, {"config_name": "20231101.als", "data_files": [{"split": "train", "path": "20231101.als/train-*"}]}, {"config_name": "20231101.alt", "data_files": [{"split": "train", "path": "20231101.alt/train-*"}]}, {"config_name": "20231101.am", "data_files": [{"split": "train", "path": "20231101.am/train-*"}]}, {"config_name": "20231101.ami", "data_files": [{"split": "train", "path": "20231101.ami/train-*"}]}, {"config_name": "20231101.an", "data_files": [{"split": "train", "path": "20231101.an/train-*"}]}, {"config_name": "20231101.ang", "data_files": [{"split": "train", "path": "20231101.ang/train-*"}]}, {"config_name": "20231101.anp", "data_files": [{"split": "train", "path": "20231101.anp/train-*"}]}, {"config_name": "20231101.ar", "data_files": [{"split": "train", "path": "20231101.ar/train-*"}]}, {"config_name": "20231101.arc", "data_files": [{"split": "train", "path": "20231101.arc/train-*"}]}, {"config_name": "20231101.ary", "data_files": [{"split": "train", "path": "20231101.ary/train-*"}]}, {"config_name": "20231101.arz", "data_files": [{"split": "train", "path": "20231101.arz/train-*"}]}, {"config_name": "20231101.as", "data_files": [{"split": "train", "path": "20231101.as/train-*"}]}, {"config_name": "20231101.ast", "data_files": [{"split": "train", "path": "20231101.ast/train-*"}]}, {"config_name": "20231101.atj", "data_files": [{"split": "train", "path": "20231101.atj/train-*"}]}, {"config_name": "20231101.av", "data_files": [{"split": "train", "path": "20231101.av/train-*"}]}, {"config_name": "20231101.avk", "data_files": [{"split": "train", "path": "20231101.avk/train-*"}]}, {"config_name": "20231101.awa", "data_files": [{"split": "train", "path": "20231101.awa/train-*"}]}, {"config_name": "20231101.ay", "data_files": [{"split": "train", "path": "20231101.ay/train-*"}]}, {"config_name": "20231101.az", "data_files": [{"split": "train", "path": "20231101.az/train-*"}]}, {"config_name": "20231101.azb", "data_files": [{"split": "train", "path": "20231101.azb/train-*"}]}, {"config_name": "20231101.ba", "data_files": [{"split": "train", "path": "20231101.ba/train-*"}]}, {"config_name": "20231101.ban", "data_files": [{"split": "train", "path": "20231101.ban/train-*"}]}, {"config_name": "20231101.bar", "data_files": [{"split": "train", "path": "20231101.bar/train-*"}]}, {"config_name": "20231101.bat-smg", "data_files": [{"split": "train", "path": "20231101.bat-smg/train-*"}]}, {"config_name": "20231101.bcl", "data_files": [{"split": "train", "path": "20231101.bcl/train-*"}]}, {"config_name": "20231101.be", "data_files": [{"split": "train", "path": "20231101.be/train-*"}]}, {"config_name": "20231101.be-x-old", "data_files": [{"split": "train", "path": "20231101.be-x-old/train-*"}]}, {"config_name": "20231101.bg", "data_files": [{"split": "train", "path": "20231101.bg/train-*"}]}, {"config_name": "20231101.bh", "data_files": [{"split": "train", "path": "20231101.bh/train-*"}]}, {"config_name": "20231101.bi", "data_files": [{"split": "train", "path": "20231101.bi/train-*"}]}, {"config_name": "20231101.bjn", "data_files": [{"split": "train", "path": "20231101.bjn/train-*"}]}, {"config_name": "20231101.blk", "data_files": [{"split": "train", "path": "20231101.blk/train-*"}]}, {"config_name": "20231101.bm", "data_files": [{"split": "train", "path": "20231101.bm/train-*"}]}, {"config_name": "20231101.bn", "data_files": [{"split": "train", "path": "20231101.bn/train-*"}]}, {"config_name": "20231101.bo", "data_files": [{"split": "train", "path": "20231101.bo/train-*"}]}, {"config_name": "20231101.bpy", "data_files": [{"split": "train", "path": "20231101.bpy/train-*"}]}, {"config_name": "20231101.br", "data_files": [{"split": "train", "path": "20231101.br/train-*"}]}, {"config_name": "20231101.bs", "data_files": [{"split": "train", "path": "20231101.bs/train-*"}]}, {"config_name": "20231101.bug", "data_files": [{"split": "train", "path": "20231101.bug/train-*"}]}, {"config_name": "20231101.bxr", "data_files": [{"split": "train", "path": "20231101.bxr/train-*"}]}, {"config_name": "20231101.ca", "data_files": [{"split": "train", "path": "20231101.ca/train-*"}]}, {"config_name": "20231101.cbk-zam", "data_files": [{"split": "train", "path": "20231101.cbk-zam/train-*"}]}, {"config_name": "20231101.cdo", "data_files": [{"split": "train", "path": "20231101.cdo/train-*"}]}, {"config_name": "20231101.ce", "data_files": [{"split": "train", "path": "20231101.ce/train-*"}]}, {"config_name": "20231101.ceb", "data_files": [{"split": "train", "path": "20231101.ceb/train-*"}]}, {"config_name": "20231101.ch", "data_files": [{"split": "train", "path": "20231101.ch/train-*"}]}, {"config_name": "20231101.chr", "data_files": [{"split": "train", "path": "20231101.chr/train-*"}]}, {"config_name": "20231101.chy", "data_files": [{"split": "train", "path": "20231101.chy/train-*"}]}, {"config_name": "20231101.ckb", "data_files": [{"split": "train", "path": "20231101.ckb/train-*"}]}, {"config_name": "20231101.co", "data_files": [{"split": "train", "path": "20231101.co/train-*"}]}, {"config_name": "20231101.cr", "data_files": [{"split": "train", "path": "20231101.cr/train-*"}]}, {"config_name": "20231101.crh", "data_files": [{"split": "train", "path": "20231101.crh/train-*"}]}, {"config_name": "20231101.cs", "data_files": [{"split": "train", "path": "20231101.cs/train-*"}]}, {"config_name": "20231101.csb", "data_files": [{"split": "train", "path": "20231101.csb/train-*"}]}, {"config_name": "20231101.cu", "data_files": [{"split": "train", "path": "20231101.cu/train-*"}]}, {"config_name": "20231101.cv", "data_files": [{"split": "train", "path": "20231101.cv/train-*"}]}, {"config_name": "20231101.cy", "data_files": [{"split": "train", "path": "20231101.cy/train-*"}]}, {"config_name": "20231101.da", "data_files": [{"split": "train", "path": "20231101.da/train-*"}]}, {"config_name": "20231101.dag", "data_files": [{"split": "train", "path": "20231101.dag/train-*"}]}, {"config_name": "20231101.de", "data_files": [{"split": "train", "path": "20231101.de/train-*"}]}, {"config_name": "20231101.din", "data_files": [{"split": "train", "path": "20231101.din/train-*"}]}, {"config_name": "20231101.diq", "data_files": [{"split": "train", "path": "20231101.diq/train-*"}]}, {"config_name": "20231101.dsb", "data_files": [{"split": "train", "path": "20231101.dsb/train-*"}]}, {"config_name": "20231101.dty", "data_files": [{"split": "train", "path": "20231101.dty/train-*"}]}, {"config_name": "20231101.dv", "data_files": [{"split": "train", "path": "20231101.dv/train-*"}]}, {"config_name": "20231101.dz", "data_files": [{"split": "train", "path": "20231101.dz/train-*"}]}, {"config_name": "20231101.ee", "data_files": [{"split": "train", "path": "20231101.ee/train-*"}]}, {"config_name": "20231101.el", "data_files": [{"split": "train", "path": "20231101.el/train-*"}]}, {"config_name": "20231101.eml", "data_files": [{"split": "train", "path": "20231101.eml/train-*"}]}, {"config_name": "20231101.en", "data_files": [{"split": "train", "path": "20231101.en/train-*"}]}, {"config_name": "20231101.eo", "data_files": [{"split": "train", "path": "20231101.eo/train-*"}]}, {"config_name": "20231101.es", "data_files": [{"split": "train", "path": "20231101.es/train-*"}]}, {"config_name": "20231101.et", "data_files": [{"split": "train", "path": "20231101.et/train-*"}]}, {"config_name": "20231101.eu", "data_files": [{"split": "train", "path": "20231101.eu/train-*"}]}, {"config_name": "20231101.ext", "data_files": [{"split": "train", "path": "20231101.ext/train-*"}]}, {"config_name": "20231101.fa", "data_files": [{"split": "train", "path": "20231101.fa/train-*"}]}, {"config_name": "20231101.fat", "data_files": [{"split": "train", "path": "20231101.fat/train-*"}]}, {"config_name": "20231101.ff", "data_files": [{"split": "train", "path": "20231101.ff/train-*"}]}, {"config_name": "20231101.fi", "data_files": [{"split": "train", "path": "20231101.fi/train-*"}]}, {"config_name": "20231101.fiu-vro", "data_files": [{"split": "train", "path": "20231101.fiu-vro/train-*"}]}, {"config_name": "20231101.fj", "data_files": [{"split": "train", "path": "20231101.fj/train-*"}]}, {"config_name": "20231101.fo", "data_files": [{"split": "train", "path": "20231101.fo/train-*"}]}, {"config_name": "20231101.fon", "data_files": [{"split": "train", "path": "20231101.fon/train-*"}]}, {"config_name": "20231101.fr", "data_files": [{"split": "train", "path": "20231101.fr/train-*"}]}, {"config_name": "20231101.frp", "data_files": [{"split": "train", "path": "20231101.frp/train-*"}]}, {"config_name": "20231101.frr", "data_files": [{"split": "train", "path": "20231101.frr/train-*"}]}, {"config_name": "20231101.fur", "data_files": [{"split": "train", "path": "20231101.fur/train-*"}]}, {"config_name": "20231101.fy", "data_files": [{"split": "train", "path": "20231101.fy/train-*"}]}, {"config_name": "20231101.ga", "data_files": [{"split": "train", "path": "20231101.ga/train-*"}]}, {"config_name": "20231101.gag", "data_files": [{"split": "train", "path": "20231101.gag/train-*"}]}, {"config_name": "20231101.gan", "data_files": [{"split": "train", "path": "20231101.gan/train-*"}]}, {"config_name": "20231101.gcr", "data_files": [{"split": "train", "path": "20231101.gcr/train-*"}]}, {"config_name": "20231101.gd", "data_files": [{"split": "train", "path": "20231101.gd/train-*"}]}, {"config_name": "20231101.gl", "data_files": [{"split": "train", "path": "20231101.gl/train-*"}]}, {"config_name": "20231101.glk", "data_files": [{"split": "train", "path": "20231101.glk/train-*"}]}, {"config_name": "20231101.gn", "data_files": [{"split": "train", "path": "20231101.gn/train-*"}]}, {"config_name": "20231101.gom", "data_files": [{"split": "train", "path": "20231101.gom/train-*"}]}, {"config_name": "20231101.gor", "data_files": [{"split": "train", "path": "20231101.gor/train-*"}]}, {"config_name": "20231101.got", "data_files": [{"split": "train", "path": "20231101.got/train-*"}]}, {"config_name": "20231101.gpe", "data_files": [{"split": "train", "path": "20231101.gpe/train-*"}]}, {"config_name": "20231101.gu", "data_files": [{"split": "train", "path": "20231101.gu/train-*"}]}, {"config_name": "20231101.guc", "data_files": [{"split": "train", "path": "20231101.guc/train-*"}]}, {"config_name": "20231101.gur", "data_files": [{"split": "train", "path": "20231101.gur/train-*"}]}, {"config_name": "20231101.guw", "data_files": [{"split": "train", "path": "20231101.guw/train-*"}]}, {"config_name": "20231101.gv", "data_files": [{"split": "train", "path": "20231101.gv/train-*"}]}, {"config_name": "20231101.ha", "data_files": [{"split": "train", "path": "20231101.ha/train-*"}]}, {"config_name": "20231101.hak", "data_files": [{"split": "train", "path": "20231101.hak/train-*"}]}, {"config_name": "20231101.haw", "data_files": [{"split": "train", "path": "20231101.haw/train-*"}]}, {"config_name": "20231101.he", "data_files": [{"split": "train", "path": "20231101.he/train-*"}]}, {"config_name": "20231101.hi", "data_files": [{"split": "train", "path": "20231101.hi/train-*"}]}, {"config_name": "20231101.hif", "data_files": [{"split": "train", "path": "20231101.hif/train-*"}]}, {"config_name": "20231101.hr", "data_files": [{"split": "train", "path": "20231101.hr/train-*"}]}, {"config_name": "20231101.hsb", "data_files": [{"split": "train", "path": "20231101.hsb/train-*"}]}, {"config_name": "20231101.ht", "data_files": [{"split": "train", "path": "20231101.ht/train-*"}]}, {"config_name": "20231101.hu", "data_files": [{"split": "train", "path": "20231101.hu/train-*"}]}, {"config_name": "20231101.hy", "data_files": [{"split": "train", "path": "20231101.hy/train-*"}]}, {"config_name": "20231101.hyw", "data_files": [{"split": "train", "path": "20231101.hyw/train-*"}]}, {"config_name": "20231101.ia", "data_files": [{"split": "train", "path": "20231101.ia/train-*"}]}, {"config_name": "20231101.id", "data_files": [{"split": "train", "path": "20231101.id/train-*"}]}, {"config_name": "20231101.ie", "data_files": [{"split": "train", "path": "20231101.ie/train-*"}]}, {"config_name": "20231101.ig", "data_files": [{"split": "train", "path": "20231101.ig/train-*"}]}, {"config_name": "20231101.ik", "data_files": [{"split": "train", "path": "20231101.ik/train-*"}]}, {"config_name": "20231101.ilo", "data_files": [{"split": "train", "path": "20231101.ilo/train-*"}]}, {"config_name": "20231101.inh", "data_files": [{"split": "train", "path": "20231101.inh/train-*"}]}, {"config_name": "20231101.io", "data_files": [{"split": "train", "path": "20231101.io/train-*"}]}, {"config_name": "20231101.is", "data_files": [{"split": "train", "path": "20231101.is/train-*"}]}, {"config_name": "20231101.it", "data_files": [{"split": "train", "path": "20231101.it/train-*"}]}, {"config_name": "20231101.iu", "data_files": [{"split": "train", "path": "20231101.iu/train-*"}]}, {"config_name": "20231101.ja", "data_files": [{"split": "train", "path": "20231101.ja/train-*"}]}, {"config_name": "20231101.jam", "data_files": [{"split": "train", "path": "20231101.jam/train-*"}]}, {"config_name": "20231101.jbo", "data_files": [{"split": "train", "path": "20231101.jbo/train-*"}]}, {"config_name": "20231101.jv", "data_files": [{"split": "train", "path": "20231101.jv/train-*"}]}, {"config_name": "20231101.ka", "data_files": [{"split": "train", "path": "20231101.ka/train-*"}]}, {"config_name": "20231101.kaa", "data_files": [{"split": "train", "path": "20231101.kaa/train-*"}]}, {"config_name": "20231101.kab", "data_files": [{"split": "train", "path": "20231101.kab/train-*"}]}, {"config_name": "20231101.kbd", "data_files": [{"split": "train", "path": "20231101.kbd/train-*"}]}, {"config_name": "20231101.kbp", "data_files": [{"split": "train", "path": "20231101.kbp/train-*"}]}, {"config_name": "20231101.kcg", "data_files": [{"split": "train", "path": "20231101.kcg/train-*"}]}, {"config_name": "20231101.kg", "data_files": [{"split": "train", "path": "20231101.kg/train-*"}]}, {"config_name": "20231101.ki", "data_files": [{"split": "train", "path": "20231101.ki/train-*"}]}, {"config_name": "20231101.kk", "data_files": [{"split": "train", "path": "20231101.kk/train-*"}]}, {"config_name": "20231101.kl", "data_files": [{"split": "train", "path": "20231101.kl/train-*"}]}, {"config_name": "20231101.km", "data_files": [{"split": "train", "path": "20231101.km/train-*"}]}, {"config_name": "20231101.kn", "data_files": [{"split": "train", "path": "20231101.kn/train-*"}]}, {"config_name": "20231101.ko", "data_files": [{"split": "train", "path": "20231101.ko/train-*"}]}, {"config_name": "20231101.koi", "data_files": [{"split": "train", "path": "20231101.koi/train-*"}]}, {"config_name": "20231101.krc", "data_files": [{"split": "train", "path": "20231101.krc/train-*"}]}, {"config_name": "20231101.ks", "data_files": [{"split": "train", "path": "20231101.ks/train-*"}]}, {"config_name": "20231101.ksh", "data_files": [{"split": "train", "path": "20231101.ksh/train-*"}]}, {"config_name": "20231101.ku", "data_files": [{"split": "train", "path": "20231101.ku/train-*"}]}, {"config_name": "20231101.kv", "data_files": [{"split": "train", "path": "20231101.kv/train-*"}]}, {"config_name": "20231101.kw", "data_files": [{"split": "train", "path": "20231101.kw/train-*"}]}, {"config_name": "20231101.ky", "data_files": [{"split": "train", "path": "20231101.ky/train-*"}]}, {"config_name": "20231101.la", "data_files": [{"split": "train", "path": "20231101.la/train-*"}]}, {"config_name": "20231101.lad", "data_files": [{"split": "train", "path": "20231101.lad/train-*"}]}, {"config_name": "20231101.lb", "data_files": [{"split": "train", "path": "20231101.lb/train-*"}]}, {"config_name": "20231101.lbe", "data_files": [{"split": "train", "path": "20231101.lbe/train-*"}]}, {"config_name": "20231101.lez", "data_files": [{"split": "train", "path": "20231101.lez/train-*"}]}, {"config_name": "20231101.lfn", "data_files": [{"split": "train", "path": "20231101.lfn/train-*"}]}, {"config_name": "20231101.lg", "data_files": [{"split": "train", "path": "20231101.lg/train-*"}]}, {"config_name": "20231101.li", "data_files": [{"split": "train", "path": "20231101.li/train-*"}]}, {"config_name": "20231101.lij", "data_files": [{"split": "train", "path": "20231101.lij/train-*"}]}, {"config_name": "20231101.lld", "data_files": [{"split": "train", "path": "20231101.lld/train-*"}]}, {"config_name": "20231101.lmo", "data_files": [{"split": "train", "path": "20231101.lmo/train-*"}]}, {"config_name": "20231101.ln", "data_files": [{"split": "train", "path": "20231101.ln/train-*"}]}, {"config_name": "20231101.lo", "data_files": [{"split": "train", "path": "20231101.lo/train-*"}]}, {"config_name": "20231101.lt", "data_files": [{"split": "train", "path": "20231101.lt/train-*"}]}, {"config_name": "20231101.ltg", "data_files": [{"split": "train", "path": "20231101.ltg/train-*"}]}, {"config_name": "20231101.lv", "data_files": [{"split": "train", "path": "20231101.lv/train-*"}]}, {"config_name": "20231101.mad", "data_files": [{"split": "train", "path": "20231101.mad/train-*"}]}, {"config_name": "20231101.mai", "data_files": [{"split": "train", "path": "20231101.mai/train-*"}]}, {"config_name": "20231101.map-bms", "data_files": [{"split": "train", "path": "20231101.map-bms/train-*"}]}, {"config_name": "20231101.mdf", "data_files": [{"split": "train", "path": "20231101.mdf/train-*"}]}, {"config_name": "20231101.mg", "data_files": [{"split": "train", "path": "20231101.mg/train-*"}]}, {"config_name": "20231101.mhr", "data_files": [{"split": "train", "path": "20231101.mhr/train-*"}]}, {"config_name": "20231101.mi", "data_files": [{"split": "train", "path": "20231101.mi/train-*"}]}, {"config_name": "20231101.min", "data_files": [{"split": "train", "path": "20231101.min/train-*"}]}, {"config_name": "20231101.mk", "data_files": [{"split": "train", "path": "20231101.mk/train-*"}]}, {"config_name": "20231101.ml", "data_files": [{"split": "train", "path": "20231101.ml/train-*"}]}, {"config_name": "20231101.mn", "data_files": [{"split": "train", "path": "20231101.mn/train-*"}]}, {"config_name": "20231101.mni", "data_files": [{"split": "train", "path": "20231101.mni/train-*"}]}, {"config_name": "20231101.mnw", "data_files": [{"split": "train", "path": "20231101.mnw/train-*"}]}, {"config_name": "20231101.mr", "data_files": [{"split": "train", "path": "20231101.mr/train-*"}]}, {"config_name": "20231101.mrj", "data_files": [{"split": "train", "path": "20231101.mrj/train-*"}]}, {"config_name": "20231101.ms", "data_files": [{"split": "train", "path": "20231101.ms/train-*"}]}, {"config_name": "20231101.mt", "data_files": [{"split": "train", "path": "20231101.mt/train-*"}]}, {"config_name": "20231101.mwl", "data_files": [{"split": "train", "path": "20231101.mwl/train-*"}]}, {"config_name": "20231101.my", "data_files": [{"split": "train", "path": "20231101.my/train-*"}]}, {"config_name": "20231101.myv", "data_files": [{"split": "train", "path": "20231101.myv/train-*"}]}, {"config_name": "20231101.mzn", "data_files": [{"split": "train", "path": "20231101.mzn/train-*"}]}, {"config_name": "20231101.nah", "data_files": [{"split": "train", "path": "20231101.nah/train-*"}]}, {"config_name": "20231101.nap", "data_files": [{"split": "train", "path": "20231101.nap/train-*"}]}, {"config_name": "20231101.nds", "data_files": [{"split": "train", "path": "20231101.nds/train-*"}]}, {"config_name": "20231101.nds-nl", "data_files": [{"split": "train", "path": "20231101.nds-nl/train-*"}]}, {"config_name": "20231101.ne", "data_files": [{"split": "train", "path": "20231101.ne/train-*"}]}, {"config_name": "20231101.new", "data_files": [{"split": "train", "path": "20231101.new/train-*"}]}, {"config_name": "20231101.nia", "data_files": [{"split": "train", "path": "20231101.nia/train-*"}]}, {"config_name": "20231101.nl", "data_files": [{"split": "train", "path": "20231101.nl/train-*"}]}, {"config_name": "20231101.nn", "data_files": [{"split": "train", "path": "20231101.nn/train-*"}]}, {"config_name": "20231101.no", "data_files": [{"split": "train", "path": "20231101.no/train-*"}]}, {"config_name": "20231101.nov", "data_files": [{"split": "train", "path": "20231101.nov/train-*"}]}, {"config_name": "20231101.nqo", "data_files": [{"split": "train", "path": "20231101.nqo/train-*"}]}, {"config_name": "20231101.nrm", "data_files": [{"split": "train", "path": "20231101.nrm/train-*"}]}, {"config_name": "20231101.nso", "data_files": [{"split": "train", "path": "20231101.nso/train-*"}]}, {"config_name": "20231101.nv", "data_files": [{"split": "train", "path": "20231101.nv/train-*"}]}, {"config_name": "20231101.ny", "data_files": [{"split": "train", "path": "20231101.ny/train-*"}]}, {"config_name": "20231101.oc", "data_files": [{"split": "train", "path": "20231101.oc/train-*"}]}, {"config_name": "20231101.olo", "data_files": [{"split": "train", "path": "20231101.olo/train-*"}]}, {"config_name": "20231101.om", "data_files": [{"split": "train", "path": "20231101.om/train-*"}]}, {"config_name": "20231101.or", "data_files": [{"split": "train", "path": "20231101.or/train-*"}]}, {"config_name": "20231101.os", "data_files": [{"split": "train", "path": "20231101.os/train-*"}]}, {"config_name": "20231101.pa", "data_files": [{"split": "train", "path": "20231101.pa/train-*"}]}, {"config_name": "20231101.pag", "data_files": [{"split": "train", "path": "20231101.pag/train-*"}]}, {"config_name": "20231101.pam", "data_files": [{"split": "train", "path": "20231101.pam/train-*"}]}, {"config_name": "20231101.pap", "data_files": [{"split": "train", "path": "20231101.pap/train-*"}]}, {"config_name": "20231101.pcd", "data_files": [{"split": "train", "path": "20231101.pcd/train-*"}]}, {"config_name": "20231101.pcm", "data_files": [{"split": "train", "path": "20231101.pcm/train-*"}]}, {"config_name": "20231101.pdc", "data_files": [{"split": "train", "path": "20231101.pdc/train-*"}]}, {"config_name": "20231101.pfl", "data_files": [{"split": "train", "path": "20231101.pfl/train-*"}]}, {"config_name": "20231101.pi", "data_files": [{"split": "train", "path": "20231101.pi/train-*"}]}, {"config_name": "20231101.pih", "data_files": [{"split": "train", "path": "20231101.pih/train-*"}]}, {"config_name": "20231101.pl", "data_files": [{"split": "train", "path": "20231101.pl/train-*"}]}, {"config_name": "20231101.pms", "data_files": [{"split": "train", "path": "20231101.pms/train-*"}]}, {"config_name": "20231101.pnb", "data_files": [{"split": "train", "path": "20231101.pnb/train-*"}]}, {"config_name": "20231101.pnt", "data_files": [{"split": "train", "path": "20231101.pnt/train-*"}]}, {"config_name": "20231101.ps", "data_files": [{"split": "train", "path": "20231101.ps/train-*"}]}, {"config_name": "20231101.pt", "data_files": [{"split": "train", "path": "20231101.pt/train-*"}]}, {"config_name": "20231101.pwn", "data_files": [{"split": "train", "path": "20231101.pwn/train-*"}]}, {"config_name": "20231101.qu", "data_files": [{"split": "train", "path": "20231101.qu/train-*"}]}, {"config_name": "20231101.rm", "data_files": [{"split": "train", "path": "20231101.rm/train-*"}]}, {"config_name": "20231101.rmy", "data_files": [{"split": "train", "path": "20231101.rmy/train-*"}]}, {"config_name": "20231101.rn", "data_files": [{"split": "train", "path": "20231101.rn/train-*"}]}, {"config_name": "20231101.ro", "data_files": [{"split": "train", "path": "20231101.ro/train-*"}]}, {"config_name": "20231101.roa-rup", "data_files": [{"split": "train", "path": "20231101.roa-rup/train-*"}]}, {"config_name": "20231101.roa-tara", "data_files": [{"split": "train", "path": "20231101.roa-tara/train-*"}]}, {"config_name": "20231101.ru", "data_files": [{"split": "train", "path": "20231101.ru/train-*"}]}, {"config_name": "20231101.rue", "data_files": [{"split": "train", "path": "20231101.rue/train-*"}]}, {"config_name": "20231101.rw", "data_files": [{"split": "train", "path": "20231101.rw/train-*"}]}, {"config_name": "20231101.sa", "data_files": [{"split": "train", "path": "20231101.sa/train-*"}]}, {"config_name": "20231101.sah", "data_files": [{"split": "train", "path": "20231101.sah/train-*"}]}, {"config_name": "20231101.sat", "data_files": [{"split": "train", "path": "20231101.sat/train-*"}]}, {"config_name": "20231101.sc", "data_files": [{"split": "train", "path": "20231101.sc/train-*"}]}, {"config_name": "20231101.scn", "data_files": [{"split": "train", "path": "20231101.scn/train-*"}]}, {"config_name": "20231101.sco", "data_files": [{"split": "train", "path": "20231101.sco/train-*"}]}, {"config_name": "20231101.sd", "data_files": [{"split": "train", "path": "20231101.sd/train-*"}]}, {"config_name": "20231101.se", "data_files": [{"split": "train", "path": "20231101.se/train-*"}]}, {"config_name": "20231101.sg", "data_files": [{"split": "train", "path": "20231101.sg/train-*"}]}, {"config_name": "20231101.sh", "data_files": [{"split": "train", "path": "20231101.sh/train-*"}]}, {"config_name": "20231101.shi", "data_files": [{"split": "train", "path": "20231101.shi/train-*"}]}, {"config_name": "20231101.shn", "data_files": [{"split": "train", "path": "20231101.shn/train-*"}]}, {"config_name": "20231101.si", "data_files": [{"split": "train", "path": "20231101.si/train-*"}]}, {"config_name": "20231101.simple", "data_files": [{"split": "train", "path": "20231101.simple/train-*"}]}, {"config_name": "20231101.sk", "data_files": [{"split": "train", "path": "20231101.sk/train-*"}]}, {"config_name": "20231101.skr", "data_files": [{"split": "train", "path": "20231101.skr/train-*"}]}, {"config_name": "20231101.sl", "data_files": [{"split": "train", "path": "20231101.sl/train-*"}]}, {"config_name": "20231101.sm", "data_files": [{"split": "train", "path": "20231101.sm/train-*"}]}, {"config_name": "20231101.smn", "data_files": [{"split": "train", "path": "20231101.smn/train-*"}]}, {"config_name": "20231101.sn", "data_files": [{"split": "train", "path": "20231101.sn/train-*"}]}, {"config_name": "20231101.so", "data_files": [{"split": "train", "path": "20231101.so/train-*"}]}, {"config_name": "20231101.sq", "data_files": [{"split": "train", "path": "20231101.sq/train-*"}]}, {"config_name": "20231101.sr", "data_files": [{"split": "train", "path": "20231101.sr/train-*"}]}, {"config_name": "20231101.srn", "data_files": [{"split": "train", "path": "20231101.srn/train-*"}]}, {"config_name": "20231101.ss", "data_files": [{"split": "train", "path": "20231101.ss/train-*"}]}, {"config_name": "20231101.st", "data_files": [{"split": "train", "path": "20231101.st/train-*"}]}, {"config_name": "20231101.stq", "data_files": [{"split": "train", "path": "20231101.stq/train-*"}]}, {"config_name": "20231101.su", "data_files": [{"split": "train", "path": "20231101.su/train-*"}]}, {"config_name": "20231101.sv", "data_files": [{"split": "train", "path": "20231101.sv/train-*"}]}, {"config_name": "20231101.sw", "data_files": [{"split": "train", "path": "20231101.sw/train-*"}]}, {"config_name": "20231101.szl", "data_files": [{"split": "train", "path": "20231101.szl/train-*"}]}, {"config_name": "20231101.szy", "data_files": [{"split": "train", "path": "20231101.szy/train-*"}]}, {"config_name": "20231101.ta", "data_files": [{"split": "train", "path": "20231101.ta/train-*"}]}, {"config_name": "20231101.tay", "data_files": [{"split": "train", "path": "20231101.tay/train-*"}]}, {"config_name": "20231101.tcy", "data_files": [{"split": "train", "path": "20231101.tcy/train-*"}]}, {"config_name": "20231101.te", "data_files": [{"split": "train", "path": "20231101.te/train-*"}]}, {"config_name": "20231101.tet", "data_files": [{"split": "train", "path": "20231101.tet/train-*"}]}, {"config_name": "20231101.tg", "data_files": [{"split": "train", "path": "20231101.tg/train-*"}]}, {"config_name": "20231101.th", "data_files": [{"split": "train", "path": "20231101.th/train-*"}]}, {"config_name": "20231101.ti", "data_files": [{"split": "train", "path": "20231101.ti/train-*"}]}, {"config_name": "20231101.tk", "data_files": [{"split": "train", "path": "20231101.tk/train-*"}]}, {"config_name": "20231101.tl", "data_files": [{"split": "train", "path": "20231101.tl/train-*"}]}, {"config_name": "20231101.tly", "data_files": [{"split": "train", "path": "20231101.tly/train-*"}]}, {"config_name": "20231101.tn", "data_files": [{"split": "train", "path": "20231101.tn/train-*"}]}, {"config_name": "20231101.to", "data_files": [{"split": "train", "path": "20231101.to/train-*"}]}, {"config_name": "20231101.tpi", "data_files": [{"split": "train", "path": "20231101.tpi/train-*"}]}, {"config_name": "20231101.tr", "data_files": [{"split": "train", "path": "20231101.tr/train-*"}]}, {"config_name": "20231101.trv", "data_files": [{"split": "train", "path": "20231101.trv/train-*"}]}, {"config_name": "20231101.ts", "data_files": [{"split": "train", "path": "20231101.ts/train-*"}]}, {"config_name": "20231101.tt", "data_files": [{"split": "train", "path": "20231101.tt/train-*"}]}, {"config_name": "20231101.tum", "data_files": [{"split": "train", "path": "20231101.tum/train-*"}]}, {"config_name": "20231101.tw", "data_files": [{"split": "train", "path": "20231101.tw/train-*"}]}, {"config_name": "20231101.ty", "data_files": [{"split": "train", "path": "20231101.ty/train-*"}]}, {"config_name": "20231101.tyv", "data_files": [{"split": "train", "path": "20231101.tyv/train-*"}]}, {"config_name": "20231101.udm", "data_files": [{"split": "train", "path": "20231101.udm/train-*"}]}, {"config_name": "20231101.ug", "data_files": [{"split": "train", "path": "20231101.ug/train-*"}]}, {"config_name": "20231101.uk", "data_files": [{"split": "train", "path": "20231101.uk/train-*"}]}, {"config_name": "20231101.ur", "data_files": [{"split": "train", "path": "20231101.ur/train-*"}]}, {"config_name": "20231101.uz", "data_files": [{"split": "train", "path": "20231101.uz/train-*"}]}, {"config_name": "20231101.ve", "data_files": [{"split": "train", "path": "20231101.ve/train-*"}]}, {"config_name": "20231101.vec", "data_files": [{"split": "train", "path": "20231101.vec/train-*"}]}, {"config_name": "20231101.vep", "data_files": [{"split": "train", "path": "20231101.vep/train-*"}]}, {"config_name": "20231101.vi", "data_files": [{"split": "train", "path": "20231101.vi/train-*"}]}, {"config_name": "20231101.vls", "data_files": [{"split": "train", "path": "20231101.vls/train-*"}]}, {"config_name": "20231101.vo", "data_files": [{"split": "train", "path": "20231101.vo/train-*"}]}, {"config_name": "20231101.wa", "data_files": [{"split": "train", "path": "20231101.wa/train-*"}]}, {"config_name": "20231101.war", "data_files": [{"split": "train", "path": "20231101.war/train-*"}]}, {"config_name": "20231101.wo", "data_files": [{"split": "train", "path": "20231101.wo/train-*"}]}, {"config_name": "20231101.wuu", "data_files": [{"split": "train", "path": "20231101.wuu/train-*"}]}, {"config_name": "20231101.xal", "data_files": [{"split": "train", "path": "20231101.xal/train-*"}]}, {"config_name": "20231101.xh", "data_files": [{"split": "train", "path": "20231101.xh/train-*"}]}, {"config_name": "20231101.xmf", "data_files": [{"split": "train", "path": "20231101.xmf/train-*"}]}, {"config_name": "20231101.yi", "data_files": [{"split": "train", "path": "20231101.yi/train-*"}]}, {"config_name": "20231101.yo", "data_files": [{"split": "train", "path": "20231101.yo/train-*"}]}, {"config_name": "20231101.za", "data_files": [{"split": "train", "path": "20231101.za/train-*"}]}, {"config_name": "20231101.zea", "data_files": [{"split": "train", "path": "20231101.zea/train-*"}]}, {"config_name": "20231101.zh", "data_files": [{"split": "train", "path": "20231101.zh/train-*"}]}, {"config_name": "20231101.zh-classical", "data_files": [{"split": "train", "path": "20231101.zh-classical/train-*"}]}, {"config_name": "20231101.zh-min-nan", "data_files": [{"split": "train", "path": "20231101.zh-min-nan/train-*"}]}, {"config_name": "20231101.zh-yue", "data_files": [{"split": "train", "path": "20231101.zh-yue/train-*"}]}, {"config_name": "20231101.zu", "data_files": [{"split": "train", "path": "20231101.zu/train-*"}]}], "dataset_info": [{"config_name": "20231101.ab", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4334455, "num_examples": 6152}], "download_size": 1237796, "dataset_size": 4334455}, {"config_name": "20231101.ace", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5065801, "num_examples": 13003}], "download_size": 1574258, "dataset_size": 5065801}, {"config_name": "20231101.ady", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 765030, "num_examples": 706}], "download_size": 347450, "dataset_size": 765030}, {"config_name": "20231101.af", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 226672176, "num_examples": 112518}], "download_size": 124485544, "dataset_size": 226672176}, {"config_name": "20231101.als", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 81450196, "num_examples": 30013}], "download_size": 49452211, "dataset_size": 81450196}, {"config_name": "20231101.alt", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6819963, "num_examples": 1087}], "download_size": 2910477, "dataset_size": 6819963}, {"config_name": "20231101.am", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24218002, "num_examples": 13906}], "download_size": 10720027, "dataset_size": 24218002}, {"config_name": "20231101.ami", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4460174, "num_examples": 1628}], "download_size": 2261859, "dataset_size": 4460174}, {"config_name": "20231101.an", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 57572050, "num_examples": 44249}], "download_size": 29573020, "dataset_size": 57572050}, {"config_name": "20231101.ang", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2913906, "num_examples": 4121}], "download_size": 1789811, "dataset_size": 2913906}, {"config_name": "20231101.anp", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9226211, "num_examples": 2749}], "download_size": 3355979, "dataset_size": 9226211}, {"config_name": "20231101.ar", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3124486159, "num_examples": 1219201}], "download_size": 1323304271, "dataset_size": 3124486159}, {"config_name": "20231101.arc", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 849731, "num_examples": 1936}], "download_size": 369584, "dataset_size": 849731}, {"config_name": "20231101.ary", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12049878, "num_examples": 8087}], "download_size": 4672257, "dataset_size": 12049878}, {"config_name": "20231101.arz", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1402294447, "num_examples": 1620194}], "download_size": 317231585, "dataset_size": 1402294447}, {"config_name": "20231101.as", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 90312333, "num_examples": 12338}], "download_size": 34581561, "dataset_size": 90312333}, {"config_name": "20231101.ast", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 470575521, "num_examples": 133419}], "download_size": 271196430, "dataset_size": 470575521}, {"config_name": "20231101.atj", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1012467, "num_examples": 1971}], "download_size": 513962, "dataset_size": 1012467}, {"config_name": "20231101.av", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6084045, "num_examples": 3426}], "download_size": 2573436, "dataset_size": 6084045}, {"config_name": "20231101.avk", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32119428, "num_examples": 28353}], "download_size": 7984474, "dataset_size": 32119428}, {"config_name": "20231101.awa", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3703396, "num_examples": 3679}], "download_size": 1269824, "dataset_size": 3703396}, {"config_name": "20231101.ay", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4395813, "num_examples": 5384}], "download_size": 1756131, "dataset_size": 4395813}, {"config_name": "20231101.az", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 433663157, "num_examples": 196158}], "download_size": 230064038, "dataset_size": 433663157}, {"config_name": "20231101.azb", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 187041147, "num_examples": 243376}], "download_size": 46739926, "dataset_size": 187041147}, {"config_name": "20231101.ba", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 297738837, "num_examples": 63319}], "download_size": 122595805, "dataset_size": 297738837}, {"config_name": "20231101.ban", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18012727, "num_examples": 20986}], "download_size": 6715876, "dataset_size": 18012727}, {"config_name": "20231101.bar", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36317102, "num_examples": 27096}], "download_size": 21799389, "dataset_size": 36317102}, {"config_name": "20231101.bat-smg", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7212849, "num_examples": 17221}], "download_size": 3348765, "dataset_size": 7212849}, {"config_name": "20231101.bcl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20394331, "num_examples": 15743}], "download_size": 11369234, "dataset_size": 20394331}, {"config_name": "20231101.be", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 624718980, "num_examples": 236165}], "download_size": 284921288, "dataset_size": 624718980}, {"config_name": "20231101.be-x-old", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 252510447, "num_examples": 84361}], "download_size": 114318588, "dataset_size": 252510447}, {"config_name": "20231101.bg", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1103334425, "num_examples": 294275}], "download_size": 512344058, "dataset_size": 1103334425}, {"config_name": "20231101.bh", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16675295, "num_examples": 8612}], "download_size": 5880458, "dataset_size": 16675295}, {"config_name": "20231101.bi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 404249, "num_examples": 1548}], "download_size": 203610, "dataset_size": 404249}, {"config_name": "20231101.bjn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6884860, "num_examples": 10519}], "download_size": 3323032, "dataset_size": 6884860}, {"config_name": "20231101.blk", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26566991, "num_examples": 2946}], "download_size": 8028430, "dataset_size": 26566991}, {"config_name": "20231101.bm", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 623659, "num_examples": 1258}], "download_size": 343812, "dataset_size": 623659}, {"config_name": "20231101.bn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 962624238, "num_examples": 143069}], "download_size": 343885999, "dataset_size": 962624238}, {"config_name": "20231101.bo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 132723880, "num_examples": 12881}], "download_size": 38851784, "dataset_size": 132723880}, {"config_name": "20231101.bpy", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 42975314, "num_examples": 25165}], "download_size": 6568483, "dataset_size": 42975314}, {"config_name": "20231101.br", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 85635744, "num_examples": 84340}], "download_size": 49768597, "dataset_size": 85635744}, {"config_name": "20231101.bs", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 193734399, "num_examples": 92596}], "download_size": 107858627, "dataset_size": 193734399}, {"config_name": "20231101.bug", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3434889, "num_examples": 15880}], "download_size": 817034, "dataset_size": 3434889}, {"config_name": "20231101.bxr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6687172, "num_examples": 2791}], "download_size": 3078699, "dataset_size": 6687172}, {"config_name": "20231101.ca", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1958810542, "num_examples": 737409}], "download_size": 1116799343, "dataset_size": 1958810542}, {"config_name": "20231101.cbk-zam", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2061944, "num_examples": 3285}], "download_size": 825899, "dataset_size": 2061944}, {"config_name": "20231101.cdo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5109207, "num_examples": 16449}], "download_size": 1982914, "dataset_size": 5109207}, {"config_name": "20231101.ce", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 730387049, "num_examples": 601271}], "download_size": 88393330, "dataset_size": 730387049}, {"config_name": "20231101.ceb", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4568256711, "num_examples": 6122708}], "download_size": 828085216, "dataset_size": 4568256711}, {"config_name": "20231101.ch", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 178002, "num_examples": 576}], "download_size": 89277, "dataset_size": 178002}, {"config_name": "20231101.chr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 767618, "num_examples": 1113}], "download_size": 343140, "dataset_size": 767618}, {"config_name": "20231101.chy", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 148139, "num_examples": 802}], "download_size": 75865, "dataset_size": 148139}, {"config_name": "20231101.ckb", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 107150420, "num_examples": 52024}], "download_size": 42964544, "dataset_size": 107150420}, {"config_name": "20231101.co", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11104243, "num_examples": 7799}], "download_size": 5794731, "dataset_size": 11104243}, {"config_name": "20231101.cr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 57257, "num_examples": 187}], "download_size": 36081, "dataset_size": 57257}, {"config_name": "20231101.crh", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9689171, "num_examples": 27691}], "download_size": 3654461, "dataset_size": 9689171}, {"config_name": "20231101.cs", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1566286962, "num_examples": 534044}], "download_size": 976484249, "dataset_size": 1566286962}, {"config_name": "20231101.csb", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3748643, "num_examples": 5480}], "download_size": 2055233, "dataset_size": 3748643}, {"config_name": "20231101.cu", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 981592, "num_examples": 1235}], "download_size": 398252, "dataset_size": 981592}, {"config_name": "20231101.cv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 81873026, "num_examples": 51863}], "download_size": 29640641, "dataset_size": 81873026}, {"config_name": "20231101.cy", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 305837783, "num_examples": 279455}], "download_size": 112257456, "dataset_size": 305837783}, {"config_name": "20231101.da", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 547068330, "num_examples": 295347}], "download_size": 327688122, "dataset_size": 547068330}, {"config_name": "20231101.dag", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 21618973, "num_examples": 10071}], "download_size": 9026986, "dataset_size": 21618973}, {"config_name": "20231101.de", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9622925305, "num_examples": 2845308}], "download_size": 5771317942, "dataset_size": 9622925305}, {"config_name": "20231101.din", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 564398, "num_examples": 512}], "download_size": 340530, "dataset_size": 564398}, {"config_name": "20231101.diq", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19671441, "num_examples": 41775}], "download_size": 7616839, "dataset_size": 19671441}, {"config_name": "20231101.dsb", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3315228, "num_examples": 3379}], "download_size": 1931937, "dataset_size": 3315228}, {"config_name": "20231101.dty", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7030648, "num_examples": 3632}], "download_size": 2521250, "dataset_size": 7030648}, {"config_name": "20231101.dv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13934393, "num_examples": 4352}], "download_size": 5283133, "dataset_size": 13934393}, {"config_name": "20231101.dz", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8855969, "num_examples": 788}], "download_size": 2583520, "dataset_size": 8855969}, {"config_name": "20231101.ee", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 898491, "num_examples": 1181}], "download_size": 492813, "dataset_size": 898491}, {"config_name": "20231101.el", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1345589075, "num_examples": 226834}], "download_size": 637372489, "dataset_size": 1345589075}, {"config_name": "20231101.eml", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3625415, "num_examples": 12961}], "download_size": 1689575, "dataset_size": 3625415}, {"config_name": "20231101.en", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20200062385, "num_examples": 6407814}], "download_size": 11630929031, "dataset_size": 20200062385}, {"config_name": "20231101.eo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 523113804, "num_examples": 344851}], "download_size": 297738138, "dataset_size": 523113804}, {"config_name": "20231101.es", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6033536133, "num_examples": 1841155}], "download_size": 3493595869, "dataset_size": 6033536133}, {"config_name": "20231101.et", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 440177170, "num_examples": 240397}], "download_size": 265444734, "dataset_size": 440177170}, {"config_name": "20231101.eu", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 565567318, "num_examples": 416347}], "download_size": 270355505, "dataset_size": 565567318}, {"config_name": "20231101.ext", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4389633, "num_examples": 3785}], "download_size": 2761099, "dataset_size": 4389633}, {"config_name": "20231101.fa", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1899154938, "num_examples": 979869}], "download_size": 759368283, "dataset_size": 1899154938}, {"config_name": "20231101.fat", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2032812, "num_examples": 1122}], "download_size": 1124684, "dataset_size": 2032812}, {"config_name": "20231101.ff", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1867995, "num_examples": 2419}], "download_size": 1087702, "dataset_size": 1867995}, {"config_name": "20231101.fi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1146146663, "num_examples": 561598}], "download_size": 680512230, "dataset_size": 1146146663}, {"config_name": "20231101.fiu-vro", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4636361, "num_examples": 6590}], "download_size": 2434159, "dataset_size": 4636361}, {"config_name": "20231101.fj", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 604791, "num_examples": 1294}], "download_size": 328059, "dataset_size": 604791}, {"config_name": "20231101.fo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15415249, "num_examples": 14080}], "download_size": 8857239, "dataset_size": 15415249}, {"config_name": "20231101.fon", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 592216, "num_examples": 705}], "download_size": 317444, "dataset_size": 592216}, {"config_name": "20231101.fr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8065794826, "num_examples": 2564646}], "download_size": 4614488286, "dataset_size": 8065794826}, {"config_name": "20231101.frp", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3676441, "num_examples": 5766}], "download_size": 1914046, "dataset_size": 3676441}, {"config_name": "20231101.frr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10819914, "num_examples": 18666}], "download_size": 5317694, "dataset_size": 10819914}, {"config_name": "20231101.fur", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4090412, "num_examples": 4001}], "download_size": 2421238, "dataset_size": 4090412}, {"config_name": "20231101.fy", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 134196708, "num_examples": 52416}], "download_size": 76002257, "dataset_size": 134196708}, {"config_name": "20231101.ga", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 60640820, "num_examples": 59156}], "download_size": 34136733, "dataset_size": 60640820}, {"config_name": "20231101.gag", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2428849, "num_examples": 2968}], "download_size": 1331866, "dataset_size": 2428849}, {"config_name": "20231101.gan", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2915229, "num_examples": 6743}], "download_size": 1508844, "dataset_size": 2915229}, {"config_name": "20231101.gcr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2338277, "num_examples": 2399}], "download_size": 1345482, "dataset_size": 2338277}, {"config_name": "20231101.gd", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14051607, "num_examples": 15979}], "download_size": 7190137, "dataset_size": 14051607}, {"config_name": "20231101.gl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 493905881, "num_examples": 200092}], "download_size": 291104907, "dataset_size": 493905881}, {"config_name": "20231101.glk", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6086185, "num_examples": 7049}], "download_size": 2382997, "dataset_size": 6086185}, {"config_name": "20231101.gn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6921948, "num_examples": 5519}], "download_size": 3806548, "dataset_size": 6921948}, {"config_name": "20231101.gom", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 30889533, "num_examples": 4259}], "download_size": 11306217, "dataset_size": 30889533}, {"config_name": "20231101.gor", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6369540, "num_examples": 15359}], "download_size": 2101154, "dataset_size": 6369540}, {"config_name": "20231101.got", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1533770, "num_examples": 1013}], "download_size": 636307, "dataset_size": 1533770}, {"config_name": "20231101.gpe", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2017667, "num_examples": 1110}], "download_size": 1141261, "dataset_size": 2017667}, {"config_name": "20231101.gu", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 121282557, "num_examples": 30445}], "download_size": 39554078, "dataset_size": 121282557}, {"config_name": "20231101.guc", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 978923, "num_examples": 679}], "download_size": 578311, "dataset_size": 978923}, {"config_name": "20231101.gur", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2325435, "num_examples": 1383}], "download_size": 1068954, "dataset_size": 2325435}, {"config_name": "20231101.guw", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1913143, "num_examples": 1312}], "download_size": 1042328, "dataset_size": 1913143}, {"config_name": "20231101.gv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6307253, "num_examples": 6206}], "download_size": 3347095, "dataset_size": 6307253}, {"config_name": "20231101.ha", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 77906472, "num_examples": 36492}], "download_size": 43131815, "dataset_size": 77906472}, {"config_name": "20231101.hak", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4523680, "num_examples": 10246}], "download_size": 1878558, "dataset_size": 4523680}, {"config_name": "20231101.haw", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1677790, "num_examples": 2612}], "download_size": 696781, "dataset_size": 1677790}, {"config_name": "20231101.he", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1950200381, "num_examples": 333874}], "download_size": 979183998, "dataset_size": 1950200381}, {"config_name": "20231101.hi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 672817362, "num_examples": 163093}], "download_size": 237834604, "dataset_size": 672817362}, {"config_name": "20231101.hif", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5685329, "num_examples": 10986}], "download_size": 2715682, "dataset_size": 5685329}, {"config_name": "20231101.hr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 443636903, "num_examples": 202848}], "download_size": 275245343, "dataset_size": 443636903}, {"config_name": "20231101.hsb", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15667118, "num_examples": 13957}], "download_size": 7437491, "dataset_size": 15667118}, {"config_name": "20231101.ht", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 55088040, "num_examples": 70159}], "download_size": 21993952, "dataset_size": 55088040}, {"config_name": "20231101.hu", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1515899113, "num_examples": 532427}], "download_size": 904857314, "dataset_size": 1515899113}, {"config_name": "20231101.hy", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1179459973, "num_examples": 303036}], "download_size": 490121120, "dataset_size": 1179459973}, {"config_name": "20231101.hyw", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 59564550, "num_examples": 11725}], "download_size": 27450541, "dataset_size": 59564550}, {"config_name": "20231101.ia", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16409449, "num_examples": 28247}], "download_size": 8237640, "dataset_size": 16409449}, {"config_name": "20231101.id", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1125928594, "num_examples": 665622}], "download_size": 583801799, "dataset_size": 1125928594}, {"config_name": "20231101.ie", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6737711, "num_examples": 11877}], "download_size": 3019044, "dataset_size": 6737711}, {"config_name": "20231101.ig", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 66086115, "num_examples": 22908}], "download_size": 34663540, "dataset_size": 66086115}, {"config_name": "20231101.ik", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 199773, "num_examples": 846}], "download_size": 115758, "dataset_size": 199773}, {"config_name": "20231101.ilo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16854494, "num_examples": 15371}], "download_size": 7352572, "dataset_size": 16854494}, {"config_name": "20231101.inh", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2727253, "num_examples": 2123}], "download_size": 1279524, "dataset_size": 2727253}, {"config_name": "20231101.io", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 38735196, "num_examples": 40930}], "download_size": 17106040, "dataset_size": 38735196}, {"config_name": "20231101.is", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 87856729, "num_examples": 57453}], "download_size": 52286137, "dataset_size": 87856729}, {"config_name": "20231101.it", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4924856310, "num_examples": 1833639}], "download_size": 2931265519, "dataset_size": 4924856310}, {"config_name": "20231101.iu", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 291185, "num_examples": 562}], "download_size": 136987, "dataset_size": 291185}, {"config_name": "20231101.ja", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7039610767, "num_examples": 1389467}], "download_size": 3941998526, "dataset_size": 7039610767}, {"config_name": "20231101.jam", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1142348, "num_examples": 1780}], "download_size": 702664, "dataset_size": 1142348}, {"config_name": "20231101.jbo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2523538, "num_examples": 1394}], "download_size": 890356, "dataset_size": 2523538}, {"config_name": "20231101.jv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 72786688, "num_examples": 73380}], "download_size": 36852134, "dataset_size": 72786688}, {"config_name": "20231101.ka", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 699872960, "num_examples": 169602}], "download_size": 239987665, "dataset_size": 699872960}, {"config_name": "20231101.kaa", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5139436, "num_examples": 4074}], "download_size": 2913134, "dataset_size": 5139436}, {"config_name": "20231101.kab", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4392542, "num_examples": 5830}], "download_size": 2580584, "dataset_size": 4392542}, {"config_name": "20231101.kbd", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3014575, "num_examples": 1670}], "download_size": 1304580, "dataset_size": 3014575}, {"config_name": "20231101.kbp", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3584563, "num_examples": 1931}], "download_size": 1806400, "dataset_size": 3584563}, {"config_name": "20231101.kcg", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 914665, "num_examples": 1151}], "download_size": 513904, "dataset_size": 914665}, {"config_name": "20231101.kg", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 390163, "num_examples": 1329}], "download_size": 209059, "dataset_size": 390163}, {"config_name": "20231101.ki", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 760980, "num_examples": 1668}], "download_size": 427003, "dataset_size": 760980}, {"config_name": "20231101.kk", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 497917145, "num_examples": 238615}], "download_size": 180750520, "dataset_size": 497917145}, {"config_name": "20231101.kl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 313658, "num_examples": 301}], "download_size": 193719, "dataset_size": 313658}, {"config_name": "20231101.km", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 103252582, "num_examples": 11994}], "download_size": 35567417, "dataset_size": 103252582}, {"config_name": "20231101.kn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 402848197, "num_examples": 31437}], "download_size": 147156434, "dataset_size": 402848197}, {"config_name": "20231101.ko", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1412099944, "num_examples": 647897}], "download_size": 782677061, "dataset_size": 1412099944}, {"config_name": "20231101.koi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5103799, "num_examples": 3504}], "download_size": 1888392, "dataset_size": 5103799}, {"config_name": "20231101.krc", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4589808, "num_examples": 2100}], "download_size": 2022144, "dataset_size": 4589808}, {"config_name": "20231101.ks", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2868186, "num_examples": 4307}], "download_size": 1094458, "dataset_size": 2868186}, {"config_name": "20231101.ksh", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3117003, "num_examples": 2945}], "download_size": 2009928, "dataset_size": 3117003}, {"config_name": "20231101.ku", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 44523131, "num_examples": 63076}], "download_size": 22938233, "dataset_size": 44523131}, {"config_name": "20231101.kv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9245577, "num_examples": 5595}], "download_size": 3690978, "dataset_size": 9245577}, {"config_name": "20231101.kw", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4687165, "num_examples": 6995}], "download_size": 2711398, "dataset_size": 4687165}, {"config_name": "20231101.ky", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 166911089, "num_examples": 79438}], "download_size": 63947035, "dataset_size": 166911089}, {"config_name": "20231101.la", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 141080163, "num_examples": 138263}], "download_size": 76588430, "dataset_size": 141080163}, {"config_name": "20231101.lad", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4901343, "num_examples": 3663}], "download_size": 2754531, "dataset_size": 4901343}, {"config_name": "20231101.lb", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 88826996, "num_examples": 62414}], "download_size": 50515020, "dataset_size": 88826996}, {"config_name": "20231101.lbe", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 745140, "num_examples": 1279}], "download_size": 304394, "dataset_size": 745140}, {"config_name": "20231101.lez", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9794637, "num_examples": 4264}], "download_size": 3864848, "dataset_size": 9794637}, {"config_name": "20231101.lfn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8870685, "num_examples": 4832}], "download_size": 5207546, "dataset_size": 8870685}, {"config_name": "20231101.lg", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6891539, "num_examples": 4048}], "download_size": 3708097, "dataset_size": 6891539}, {"config_name": "20231101.li", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29633678, "num_examples": 14849}], "download_size": 17727918, "dataset_size": 29633678}, {"config_name": "20231101.lij", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11448686, "num_examples": 11203}], "download_size": 6255409, "dataset_size": 11448686}, {"config_name": "20231101.lld", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 50163974, "num_examples": 180677}], "download_size": 13866243, "dataset_size": 50163974}, {"config_name": "20231101.lmo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43496783, "num_examples": 73510}], "download_size": 19142356, "dataset_size": 43496783}, {"config_name": "20231101.ln", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2035050, "num_examples": 3534}], "download_size": 1122138, "dataset_size": 2035050}, {"config_name": "20231101.lo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15283258, "num_examples": 5014}], "download_size": 5646554, "dataset_size": 15283258}, {"config_name": "20231101.lt", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 336559824, "num_examples": 211292}], "download_size": 194873569, "dataset_size": 336559824}, {"config_name": "20231101.ltg", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 915364, "num_examples": 1070}], "download_size": 530299, "dataset_size": 915364}, {"config_name": "20231101.lv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 227272112, "num_examples": 123413}], "download_size": 129739227, "dataset_size": 227272112}, {"config_name": "20231101.mad", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1596836, "num_examples": 1192}], "download_size": 908630, "dataset_size": 1596836}, {"config_name": "20231101.mai", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 21562856, "num_examples": 14714}], "download_size": 6180231, "dataset_size": 21562856}, {"config_name": "20231101.map-bms", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5341068, "num_examples": 13580}], "download_size": 2377123, "dataset_size": 5341068}, {"config_name": "20231101.mdf", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4694770, "num_examples": 4257}], "download_size": 1725294, "dataset_size": 4694770}, {"config_name": "20231101.mg", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 73767229, "num_examples": 96316}], "download_size": 22117304, "dataset_size": 73767229}, {"config_name": "20231101.mhr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19249450, "num_examples": 11347}], "download_size": 6902162, "dataset_size": 19249450}, {"config_name": "20231101.mi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4169094, "num_examples": 7919}], "download_size": 1044444, "dataset_size": 4169094}, {"config_name": "20231101.min", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 118995918, "num_examples": 227143}], "download_size": 25691303, "dataset_size": 118995918}, {"config_name": "20231101.mk", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 651422351, "num_examples": 139559}], "download_size": 271265486, "dataset_size": 651422351}, {"config_name": "20231101.ml", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 494135127, "num_examples": 85791}], "download_size": 183071274, "dataset_size": 494135127}, {"config_name": "20231101.mn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 91943210, "num_examples": 24048}], "download_size": 41521786, "dataset_size": 91943210}, {"config_name": "20231101.mni", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9820483, "num_examples": 10894}], "download_size": 2208525, "dataset_size": 9820483}, {"config_name": "20231101.mnw", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 47237206, "num_examples": 3295}], "download_size": 13765461, "dataset_size": 47237206}, {"config_name": "20231101.mr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 261879018, "num_examples": 94133}], "download_size": 81991233, "dataset_size": 261879018}, {"config_name": "20231101.mrj", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8732281, "num_examples": 10542}], "download_size": 3283618, "dataset_size": 8732281}, {"config_name": "20231101.ms", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 423352360, "num_examples": 368628}], "download_size": 210149264, "dataset_size": 423352360}, {"config_name": "20231101.mt", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32009639, "num_examples": 5743}], "download_size": 18686521, "dataset_size": 32009639}, {"config_name": "20231101.mwl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19353725, "num_examples": 4500}], "download_size": 11521563, "dataset_size": 19353725}, {"config_name": "20231101.my", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 314417700, "num_examples": 109310}], "download_size": 85497205, "dataset_size": 314417700}, {"config_name": "20231101.myv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11145865, "num_examples": 7958}], "download_size": 4600620, "dataset_size": 11145865}, {"config_name": "20231101.mzn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16335757, "num_examples": 18717}], "download_size": 5419390, "dataset_size": 16335757}, {"config_name": "20231101.nah", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2503320, "num_examples": 6218}], "download_size": 1191779, "dataset_size": 2503320}, {"config_name": "20231101.nap", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6395706, "num_examples": 14884}], "download_size": 3188122, "dataset_size": 6395706}, {"config_name": "20231101.nds", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 92990126, "num_examples": 84285}], "download_size": 48106879, "dataset_size": 92990126}, {"config_name": "20231101.nds-nl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13582403, "num_examples": 7847}], "download_size": 8354427, "dataset_size": 13582403}, {"config_name": "20231101.ne", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 109032486, "num_examples": 32885}], "download_size": 37548833, "dataset_size": 109032486}, {"config_name": "20231101.new", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 159095610, "num_examples": 73003}], "download_size": 20517810, "dataset_size": 159095610}, {"config_name": "20231101.nia", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2117902, "num_examples": 1714}], "download_size": 1086670, "dataset_size": 2117902}, {"config_name": "20231101.nl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2646316266, "num_examples": 2135977}], "download_size": 1436843432, "dataset_size": 2646316266}, {"config_name": "20231101.nn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 237467406, "num_examples": 167653}], "download_size": 134751873, "dataset_size": 237467406}, {"config_name": "20231101.no", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1033188011, "num_examples": 617937}], "download_size": 590970350, "dataset_size": 1033188011}, {"config_name": "20231101.nov", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 965640, "num_examples": 1693}], "download_size": 493500, "dataset_size": 965640}, {"config_name": "20231101.nqo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8261058, "num_examples": 1580}], "download_size": 3508645, "dataset_size": 8261058}, {"config_name": "20231101.nrm", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3216817, "num_examples": 4902}], "download_size": 1507257, "dataset_size": 3216817}, {"config_name": "20231101.nso", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2796467, "num_examples": 8650}], "download_size": 936349, "dataset_size": 2796467}, {"config_name": "20231101.nv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16993060, "num_examples": 22460}], "download_size": 3304031, "dataset_size": 16993060}, {"config_name": "20231101.ny", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1691825, "num_examples": 1129}], "download_size": 938621, "dataset_size": 1691825}, {"config_name": "20231101.oc", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 120092607, "num_examples": 89101}], "download_size": 64043588, "dataset_size": 120092607}, {"config_name": "20231101.olo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3173332, "num_examples": 4640}], "download_size": 1724315, "dataset_size": 3173332}, {"config_name": "20231101.om", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3604768, "num_examples": 1970}], "download_size": 1982849, "dataset_size": 3604768}, {"config_name": "20231101.or", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 75078226, "num_examples": 17375}], "download_size": 26706212, "dataset_size": 75078226}, {"config_name": "20231101.os", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13182881, "num_examples": 17663}], "download_size": 5572799, "dataset_size": 13182881}, {"config_name": "20231101.pa", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 212972877, "num_examples": 51423}], "download_size": 81452929, "dataset_size": 212972877}, {"config_name": "20231101.pag", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1391816, "num_examples": 2665}], "download_size": 455808, "dataset_size": 1391816}, {"config_name": "20231101.pam", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8294902, "num_examples": 9006}], "download_size": 4277038, "dataset_size": 8294902}, {"config_name": "20231101.pap", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4251480, "num_examples": 3520}], "download_size": 2435005, "dataset_size": 4251480}, {"config_name": "20231101.pcd", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5704321, "num_examples": 5717}], "download_size": 3145572, "dataset_size": 5704321}, {"config_name": "20231101.pcm", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1886987, "num_examples": 1238}], "download_size": 1160762, "dataset_size": 1886987}, {"config_name": "20231101.pdc", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1225978, "num_examples": 2176}], "download_size": 698254, "dataset_size": 1225978}, {"config_name": "20231101.pfl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3694464, "num_examples": 2762}], "download_size": 1971214, "dataset_size": 3694464}, {"config_name": "20231101.pi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1144100, "num_examples": 3057}], "download_size": 200764, "dataset_size": 1144100}, {"config_name": "20231101.pih", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 278139, "num_examples": 934}], "download_size": 177092, "dataset_size": 278139}, {"config_name": "20231101.pl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2950148809, "num_examples": 1587721}], "download_size": 1765059986, "dataset_size": 2950148809}, {"config_name": "20231101.pms", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34340217, "num_examples": 67980}], "download_size": 12008880, "dataset_size": 34340217}, {"config_name": "20231101.pnb", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 304117649, "num_examples": 72307}], "download_size": 133266242, "dataset_size": 304117649}, {"config_name": "20231101.pnt", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 630636, "num_examples": 533}], "download_size": 275639, "dataset_size": 630636}, {"config_name": "20231101.ps", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 114259737, "num_examples": 20529}], "download_size": 53312545, "dataset_size": 114259737}, {"config_name": "20231101.pt", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2758783436, "num_examples": 1112246}], "download_size": 1579641059, "dataset_size": 2758783436}, {"config_name": "20231101.pwn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 811954, "num_examples": 408}], "download_size": 444109, "dataset_size": 811954}, {"config_name": "20231101.qu", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16828457, "num_examples": 24196}], "download_size": 7688106, "dataset_size": 16828457}, {"config_name": "20231101.rm", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18053014, "num_examples": 3822}], "download_size": 10483970, "dataset_size": 18053014}, {"config_name": "20231101.rmy", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 611778, "num_examples": 1279}], "download_size": 356457, "dataset_size": 611778}, {"config_name": "20231101.rn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 530318, "num_examples": 819}], "download_size": 301252, "dataset_size": 530318}, {"config_name": "20231101.ro", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 847410736, "num_examples": 442389}], "download_size": 466937380, "dataset_size": 847410736}, {"config_name": "20231101.roa-rup", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1687829, "num_examples": 1432}], "download_size": 951677, "dataset_size": 1687829}, {"config_name": "20231101.roa-tara", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7470331, "num_examples": 9367}], "download_size": 4003095, "dataset_size": 7470331}, {"config_name": "20231101.ru", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10277958919, "num_examples": 1945063}], "download_size": 4876849588, "dataset_size": 10277958919}, {"config_name": "20231101.rue", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13128572, "num_examples": 8759}], "download_size": 6346106, "dataset_size": 13128572}, {"config_name": "20231101.rw", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11898854, "num_examples": 8063}], "download_size": 6623388, "dataset_size": 11898854}, {"config_name": "20231101.sa", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 69854997, "num_examples": 12156}], "download_size": 23850161, "dataset_size": 69854997}, {"config_name": "20231101.sah", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 48562374, "num_examples": 17098}], "download_size": 21675888, "dataset_size": 48562374}, {"config_name": "20231101.sat", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 45247783, "num_examples": 9767}], "download_size": 15428584, "dataset_size": 45247783}, {"config_name": "20231101.sc", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12776438, "num_examples": 7586}], "download_size": 7711996, "dataset_size": 12776438}, {"config_name": "20231101.scn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17685098, "num_examples": 26530}], "download_size": 10223816, "dataset_size": 17685098}, {"config_name": "20231101.sco", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 42808738, "num_examples": 35276}], "download_size": 24287944, "dataset_size": 42808738}, {"config_name": "20231101.sd", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37021659, "num_examples": 16928}], "download_size": 17591997, "dataset_size": 37021659}, {"config_name": "20231101.se", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3600527, "num_examples": 8043}], "download_size": 1816006, "dataset_size": 3600527}, {"config_name": "20231101.sg", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 140127, "num_examples": 564}], "download_size": 72486, "dataset_size": 140127}, {"config_name": "20231101.sh", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 569225870, "num_examples": 458392}], "download_size": 266379293, "dataset_size": 569225870}, {"config_name": "20231101.shi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2369002, "num_examples": 1779}], "download_size": 1359828, "dataset_size": 2369002}, {"config_name": "20231101.shn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 33553593, "num_examples": 13945}], "download_size": 8163231, "dataset_size": 33553593}, {"config_name": "20231101.si", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 138806443, "num_examples": 23065}], "download_size": 54229127, "dataset_size": 138806443}, {"config_name": "20231101.simple", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 291254232, "num_examples": 241787}], "download_size": 156885218, "dataset_size": 291254232}, {"config_name": "20231101.sk", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 416804817, "num_examples": 242235}], "download_size": 239513292, "dataset_size": 416804817}, {"config_name": "20231101.skr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22705446, "num_examples": 5819}], "download_size": 9978607, "dataset_size": 22705446}, {"config_name": "20231101.sl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 454829910, "num_examples": 183006}], "download_size": 267485569, "dataset_size": 454829910}, {"config_name": "20231101.sm", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 902927, "num_examples": 1151}], "download_size": 492349, "dataset_size": 902927}, {"config_name": "20231101.smn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5764244, "num_examples": 5383}], "download_size": 2813872, "dataset_size": 5764244}, {"config_name": "20231101.sn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9790528, "num_examples": 11621}], "download_size": 4979456, "dataset_size": 9790528}, {"config_name": "20231101.so", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13663784, "num_examples": 9021}], "download_size": 7940363, "dataset_size": 13663784}, {"config_name": "20231101.sq", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 208779652, "num_examples": 104854}], "download_size": 116945494, "dataset_size": 208779652}, {"config_name": "20231101.sr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1721596392, "num_examples": 676605}], "download_size": 697391786, "dataset_size": 1721596392}, {"config_name": "20231101.srn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 649317, "num_examples": 1219}], "download_size": 215103, "dataset_size": 649317}, {"config_name": "20231101.ss", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1076102, "num_examples": 945}], "download_size": 600997, "dataset_size": 1076102}, {"config_name": "20231101.st", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 968161, "num_examples": 1099}], "download_size": 530165, "dataset_size": 968161}, {"config_name": "20231101.stq", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4942784, "num_examples": 4134}], "download_size": 2884429, "dataset_size": 4942784}, {"config_name": "20231101.su", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 48066965, "num_examples": 61555}], "download_size": 19806020, "dataset_size": 48066965}, {"config_name": "20231101.sv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2153690744, "num_examples": 2574513}], "download_size": 974261228, "dataset_size": 2153690744}, {"config_name": "20231101.sw", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 73119299, "num_examples": 78587}], "download_size": 35936177, "dataset_size": 73119299}, {"config_name": "20231101.szl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 21439309, "num_examples": 57035}], "download_size": 7347967, "dataset_size": 21439309}, {"config_name": "20231101.szy", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11355780, "num_examples": 4885}], "download_size": 6192815, "dataset_size": 11355780}, {"config_name": "20231101.ta", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 810734099, "num_examples": 160651}], "download_size": 265652020, "dataset_size": 810734099}, {"config_name": "20231101.tay", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2974229, "num_examples": 2747}], "download_size": 1232811, "dataset_size": 2974229}, {"config_name": "20231101.tcy", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12166612, "num_examples": 2202}], "download_size": 4611006, "dataset_size": 12166612}, {"config_name": "20231101.te", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 730376585, "num_examples": 87854}], "download_size": 215097076, "dataset_size": 730376585}, {"config_name": "20231101.tet", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1466200, "num_examples": 1468}], "download_size": 744390, "dataset_size": 1466200}, {"config_name": "20231101.tg", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 148256281, "num_examples": 110962}], "download_size": 49825647, "dataset_size": 148256281}, {"config_name": "20231101.th", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1014547923, "num_examples": 159719}], "download_size": 371916105, "dataset_size": 1014547923}, {"config_name": "20231101.ti", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 729995, "num_examples": 435}], "download_size": 363723, "dataset_size": 729995}, {"config_name": "20231101.tk", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13326412, "num_examples": 7918}], "download_size": 7383654, "dataset_size": 13326412}, {"config_name": "20231101.tl", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 85794472, "num_examples": 45341}], "download_size": 45797527, "dataset_size": 85794472}, {"config_name": "20231101.tly", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2590482, "num_examples": 8086}], "download_size": 1070456, "dataset_size": 2590482}, {"config_name": "20231101.tn", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4380768, "num_examples": 1585}], "download_size": 1708110, "dataset_size": 4380768}, {"config_name": "20231101.to", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1090611, "num_examples": 1887}], "download_size": 518244, "dataset_size": 1090611}, {"config_name": "20231101.tpi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 460420, "num_examples": 1399}], "download_size": 241908, "dataset_size": 460420}, {"config_name": "20231101.tr", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 997254242, "num_examples": 534988}], "download_size": 552923659, "dataset_size": 997254242}, {"config_name": "20231101.trv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4971204, "num_examples": 1880}], "download_size": 2706664, "dataset_size": 4971204}, {"config_name": "20231101.ts", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 847032, "num_examples": 785}], "download_size": 455648, "dataset_size": 847032}, {"config_name": "20231101.tt", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 681325421, "num_examples": 501116}], "download_size": 129141056, "dataset_size": 681325421}, {"config_name": "20231101.tum", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13429984, "num_examples": 18708}], "download_size": 5459856, "dataset_size": 13429984}, {"config_name": "20231101.tw", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7982767, "num_examples": 3978}], "download_size": 4118530, "dataset_size": 7982767}, {"config_name": "20231101.ty", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 338743, "num_examples": 1355}], "download_size": 150963, "dataset_size": 338743}, {"config_name": "20231101.tyv", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14324694, "num_examples": 3491}], "download_size": 6528290, "dataset_size": 14324694}, {"config_name": "20231101.udm", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7036113, "num_examples": 5677}], "download_size": 2982821, "dataset_size": 7036113}, {"config_name": "20231101.ug", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 42254159, "num_examples": 8634}], "download_size": 17741860, "dataset_size": 42254159}, {"config_name": "20231101.uk", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4969483901, "num_examples": 1294720}], "download_size": 2276769383, "dataset_size": 4969483901}, {"config_name": "20231101.ur", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 410511855, "num_examples": 200154}], "download_size": 167627869, "dataset_size": 410511855}, {"config_name": "20231101.uz", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 397176774, "num_examples": 246729}], "download_size": 210262652, "dataset_size": 397176774}, {"config_name": "20231101.ve", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 359542, "num_examples": 840}], "download_size": 163318, "dataset_size": 359542}, {"config_name": "20231101.vec", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37917528, "num_examples": 69268}], "download_size": 16179506, "dataset_size": 37917528}, {"config_name": "20231101.vep", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11643856, "num_examples": 6960}], "download_size": 6423002, "dataset_size": 11643856}, {"config_name": "20231101.vi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1617830227, "num_examples": 1288680}], "download_size": 729557588, "dataset_size": 1617830227}, {"config_name": "20231101.vls", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11336278, "num_examples": 7872}], "download_size": 6985406, "dataset_size": 11336278}, {"config_name": "20231101.vo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19521708, "num_examples": 35193}], "download_size": 6582571, "dataset_size": 19521708}, {"config_name": "20231101.wa", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12268826, "num_examples": 12038}], "download_size": 7327616, "dataset_size": 12268826}, {"config_name": "20231101.war", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 467647882, "num_examples": 1266394}], "download_size": 104588442, "dataset_size": 467647882}, {"config_name": "20231101.wo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3525303, "num_examples": 1746}], "download_size": 2094574, "dataset_size": 3525303}, {"config_name": "20231101.wuu", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 25029545, "num_examples": 43010}], "download_size": 15985963, "dataset_size": 25029545}, {"config_name": "20231101.xal", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1391731, "num_examples": 2295}], "download_size": 507198, "dataset_size": 1391731}, {"config_name": "20231101.xh", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3665998, "num_examples": 1883}], "download_size": 2505472, "dataset_size": 3665998}, {"config_name": "20231101.xmf", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37712629, "num_examples": 18099}], "download_size": 12948576, "dataset_size": 37712629}, {"config_name": "20231101.yi", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36038273, "num_examples": 15179}], "download_size": 16218296, "dataset_size": 36038273}, {"config_name": "20231101.yo", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19081408, "num_examples": 33819}], "download_size": 8861465, "dataset_size": 19081408}, {"config_name": "20231101.za", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1365300, "num_examples": 2993}], "download_size": 666521, "dataset_size": 1365300}, {"config_name": "20231101.zea", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5224563, "num_examples": 6082}], "download_size": 2620396, "dataset_size": 5224563}, {"config_name": "20231101.zh", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2790577882, "num_examples": 1384748}], "download_size": 1721150260, "dataset_size": 2790577882}, {"config_name": "20231101.zh-classical", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14869227, "num_examples": 12708}], "download_size": 10098073, "dataset_size": 14869227}, {"config_name": "20231101.zh-min-nan", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 153672031, "num_examples": 432798}], "download_size": 37122048, "dataset_size": 153672031}, {"config_name": "20231101.zh-yue", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 109936351, "num_examples": 134140}], "download_size": 64950815, "dataset_size": 109936351}, {"config_name": "20231101.zu", "features": [{"name": "id", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7088246, "num_examples": 11561}], "download_size": 3792429, "dataset_size": 7088246}], "language_bcp47": ["be-tarask", "en-simple"]}

b04c8d1ceb2f5cd4588862100d08de323dccfbaa

Dataset Card for Wikimedia Wikipedia Dataset Summary Wikipedia dataset containing cleaned articles of all languages. The dataset is built from the Wikipedia dumps (https://dumps.wikimedia.org/) with one subset per language, each containing a single train split. Each example contains the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.). All language subsets have already been processed for recent dump… See the full description on the dataset page: https://huggingface.co./datasets/wikimedia/wikipedia.

6745db412fd6d8c0251091c5

5CD-AI/LLaVA-CoT-o1-Instruct

5CD-AI

{"dataset_info": {"features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "question", "dtype": "string"}, {"name": "output", "dtype": "string"}, {"name": "ground_truth", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4601941604.092, "num_examples": 58468}], "download_size": 3936031095, "dataset_size": 4601941604.092}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}

f27312b2b25602b17222798b11837237eb8be4b7

Example1 Input: Please answer the question below, explaining your reasoning step by step before providing the final answer. Question: Are there enough straws for every cup ? A. yes B. no Output: <SUMMARY/>The question asks whether there are enough straws to provide one for each cup depicted in an image. To answer, we need to count the number of straws and cups separately and then compare those quantities.</SUMMARY> <CAPTION>The image shows… See the full description on the dataset page: https://huggingface.co./datasets/5CD-AI/LLaVA-CoT-o1-Instruct.

678a1234fa5b1f867f89534d

prithivMLmods/Math-Solve

prithivMLmods

{"license": "apache-2.0", "task_categories": ["text-generation", "question-answering", "summarization"], "language": ["en"], "size_categories": ["10K<n<100K"], "tags": ["math", "math-solve"]}

f395081ef3945f9b8ee8b6257a5649b5a53be764

Overview The Math-Solve dataset is a collection of math problems and their solutions, designed to facilitate training and evaluation of models for tasks such as text generation, question answering, and summarization. The dataset contains nearly 25k rows of math-related problems, each paired with a detailed solution. This dataset is particularly useful for researchers and developers working on AI models that require mathematical reasoning and problem-solving capabilities.… See the full description on the dataset page: https://huggingface.co./datasets/prithivMLmods/Math-Solve.

667ee649a7d8b1deba8d4f4c

proj-persona/PersonaHub

proj-persona

{"license": "cc-by-nc-sa-4.0", "task_categories": ["text-generation", "text-classification", "token-classification", "fill-mask", "table-question-answering", "text2text-generation"], "language": ["en", "zh"], "tags": ["synthetic", "text", "math", "reasoning", "instruction", "tool"], "size_categories": ["100K<n<1M"], "configs": [{"config_name": "math", "data_files": "math.jsonl"}, {"config_name": "instruction", "data_files": "instruction.jsonl"}, {"config_name": "reasoning", "data_files": "reasoning.jsonl"}, {"config_name": "knowledge", "data_files": "knowledge.jsonl"}, {"config_name": "npc", "data_files": "npc.jsonl"}, {"config_name": "tool", "data_files": "tool.jsonl"}, {"config_name": "persona", "data_files": "persona.jsonl"}]}

c91f99f3efd4d0977e338f3b77abd251653cd405

Scaling Synthetic Data Creation with 1,000,000,000 Personas This repo releases data introduced in our paper Scaling Synthetic Data Creation with 1,000,000,000 Personas: We propose a novel persona-driven data synthesis methodology that leverages various perspectives within a large language model (LLM) to create diverse synthetic data. To fully exploit this methodology at scale, we introduce PERSONA HUB – a collection of 1 billion diverse personas automatically curated from web… See the full description on the dataset page: https://huggingface.co./datasets/proj-persona/PersonaHub.

67903960be8d5adf69448b24

PrimeIntellect/NuminaMath-QwQ-CoT-5M

PrimeIntellect

{"dataset_info": {"features": [{"name": "problem_id", "dtype": "int64"}, {"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "ground_truth", "dtype": "string"}, {"name": "correct", "dtype": "bool"}], "splits": [{"name": "train", "num_bytes": 43783462002, "num_examples": 5138102}], "download_size": 18047330866, "dataset_size": 43783462002}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "license": "mit"}

ba3b9e4083982f67a2140bddb098d9e6678cbf77

INTELLECT-MATH: Frontier Mathematical Reasoning through Better Initializations for Reinforcement Learning INTELLECT-MATH is a 7B parameter model optimized for mathematical reasoning. It was trained in two stages, an SFT stage, in which the model was fine-tuned on verified QwQ outputs, and an RL stage, in which the model was trained using the PRIME-RL recipe. We demonstrate that the quality of our SFT data can impact the performance and training speed of the RL stage: Due to its… See the full description on the dataset page: https://huggingface.co./datasets/PrimeIntellect/NuminaMath-QwQ-CoT-5M.

6790e7b33f5d2b5e5b9e70a5

Rapidata/sora-video-generation-style-likert-scoring

Rapidata

{"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Video", "dtype": "string"}, {"name": "LikertScore", "dtype": "float64"}, {"name": "LikertScoreNormalized", "dtype": "float64"}, {"name": "DetailedResults", "list": [{"name": "selectedCategory", "dtype": "string"}, {"name": "userDetails", "struct": [{"name": "age", "dtype": "string"}, {"name": "country", "dtype": "string"}, {"name": "gender", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "occupation", "dtype": "string"}, {"name": "userScore", "dtype": "float64"}]}]}, {"name": "FileName", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 435142, "num_examples": 198}], "download_size": 59159, "dataset_size": 435142}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "license": "apache-2.0", "task_categories": ["video-classification", "text-to-video"], "language": ["en"], "tags": ["t2v", "text2video", "texttovideo", "t2i", "likert", "scale", "human", "preference"], "pretty_name": "t2v Sora Style Likert Scores", "size_categories": ["1K<n<10K"]}

82c61ac450a434e38ddbe399ac8cf3e29813e54d

Rapidata Video Generation Preference Dataset If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset was collected in ~1 hour using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation. Overview In this dataset, ~6000 human evaluators were asked to rate AI-generated videos based on their visual appeal, without seeing the prompts used to generate them. The specific… See the full description on the dataset page: https://huggingface.co./datasets/Rapidata/sora-video-generation-style-likert-scoring.

66cf1ca0103ac4798609f32a

CaptionEmporium/flickr-megalith-10m-internvl2-multi-caption

CaptionEmporium

{"license": "cc-by-sa-4.0", "language": ["en"], "pretty_name": "flickr-megalith-10m-internvl2-multi-caption", "tags": ["image-text-dataset", "synthetic-dataset", "InternVL2", "InternVL2-8b", "synthetic-captions", "flickr", "megalith"], "task_categories": ["text-to-image", "image-to-text", "other"], "size_categories": ["1M<n<10M"]}

75b33ce72533023bf907f8a0bf160099883f1bae

Dataset Card for flickr-megalith-10m-internvl2-multi-caption Dataset Summary This is approximately 57.3 million synthetic captions for the images found in madebyollin/megalith-10m. It includes the following captions: InternVL2 8B long captions (by CaptionEmporium) InternVL2 8B short captions (by CaptionEmporium) Florence2 long captions (by aipicasso) Florence2 short captions (by CaptionEmporium) ShareCaptioner long captions (by drawthingsai) ShareCaptioner short… See the full description on the dataset page: https://huggingface.co./datasets/CaptionEmporium/flickr-megalith-10m-internvl2-multi-caption.

6758176e04e2f15d7bfacd54

PowerInfer/QWQ-LONGCOT-500K

PowerInfer

{"license": "apache-2.0", "language": ["en"]}

10a787d967281599e9be6761717147817c018424

This repository contains approximately 500,000 instances of responses generated using QwQ-32B-Preview language model. The dataset combines prompts from multiple high-quality sources to create diverse and comprehensive training data. The dataset is available under the Apache 2.0 license. Over 75% of the responses exceed 8,000 tokens in length. The majority of prompts were carefully created using persona-based methods to create challenging instructions. Bias, Risks, and Limitations… See the full description on the dataset page: https://huggingface.co./datasets/PowerInfer/QWQ-LONGCOT-500K.

677ea786e5ba9d94ff4c84cb

HKUSTAudio/Llasa_opensource_speech_data_160k_hours_tokenized

HKUSTAudio

{"license": "cc-by-4.0"}

5664c63f84688674fa2304203642d4ac5218416c

Still uploading This script is for merging tokenized speech datasets stored in memmap format. The input datasets can be combined to form larger training datasets. import numpy as np import os def merge_memmap_datasets(dataset_dirs, output_dir): # Ensure the output directory exists os.makedirs(output_dir, exist_ok=True) # Dataset splits to be merged splits = ['train', 'val'] for split in splits: shapes = [] seq_len = None total_samples = 0… See the full description on the dataset page: https://huggingface.co./datasets/HKUSTAudio/Llasa_opensource_speech_data_160k_hours_tokenized.

664a1c1f4fa4afb446afa8f7

openbmb/RLAIF-V-Dataset

openbmb

{"license": "cc-by-nc-4.0", "task_categories": ["visual-question-answering"], "language": ["en"], "pretty_name": "RLAIF-V-Dataset", "dataset_info": {"features": [{"name": "ds_name", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "question", "dtype": "string"}, {"name": "chosen", "dtype": "string"}, {"name": "rejected", "dtype": "string"}, {"name": "origin_dataset", "dtype": "string"}, {"name": "origin_split", "dtype": "string"}, {"name": "idx", "dtype": "string"}, {"name": "image_path", "dtype": "string"}]}, "size_categories": ["10K<n<100K"]}

586aff0ea91b485a73fe99f65570f054c10c79d9

Dataset Card for RLAIF-V-Dataset GitHub | Paper News: [2024.05.28] 📃 Our paper is accesible at arxiv now! [2024.05.20] 🔥 Our data is used in MiniCPM-Llama3-V 2.5, which represents the first end-side MLLM achieving GPT-4V level performance! Dataset Summary RLAIF-V-Dataset is a large-scale multimodal feedback dataset. The dataset provides high-quality feedback with a total number of 83,132 preference pairs, where the instructions are collected… See the full description on the dataset page: https://huggingface.co./datasets/openbmb/RLAIF-V-Dataset.

66952974b8a00bc24d6b112a

HuggingFaceTB/smollm-corpus

HuggingFaceTB

{"license": "odc-by", "dataset_info": [{"config_name": "cosmopedia-v2", "features": [{"name": "prompt", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "token_length", "dtype": "int64"}, {"name": "audience", "dtype": "string"}, {"name": "format", "dtype": "string"}, {"name": "seed_data", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 212503640747, "num_examples": 39134000}], "download_size": 122361137711, "dataset_size": 212503640747}, {"config_name": "fineweb-edu-dedup", "features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "metadata", "struct": [{"name": "dump", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "date", "dtype": "timestamp[s]"}, {"name": "file_path", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "language_score", "dtype": "float64"}, {"name": "token_count", "dtype": "int64"}, {"name": "score", "dtype": "float64"}, {"name": "int_score", "dtype": "int64"}]}], "splits": [{"name": "train", "num_bytes": 957570164451, "num_examples": 190168005}], "download_size": 550069279849, "dataset_size": 957570164451}, {"config_name": "python-edu", "features": [{"name": "blob_id", "dtype": "string"}, {"name": "repo_name", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "length_bytes", "dtype": "int64"}, {"name": "score", "dtype": "float64"}, {"name": "int_score", "dtype": "int64"}], "splits": [{"name": "train", "num_bytes": 989334135, "num_examples": 7678448}], "download_size": 643903049, "dataset_size": 989334135}], "configs": [{"config_name": "cosmopedia-v2", "data_files": [{"split": "train", "path": "cosmopedia-v2/train-*"}]}, {"config_name": "fineweb-edu-dedup", "data_files": [{"split": "train", "path": "fineweb-edu-dedup/train-*"}]}, {"config_name": "python-edu", "data_files": [{"split": "train", "path": "python-edu/train-*"}]}], "language": ["en"]}

3ba9d605774198c5868892d7a8deda78031a781f

SmolLM-Corpus This dataset is a curated collection of high-quality educational and synthetic data designed for training small language models. You can find more details about the models trained on this dataset in our SmolLM blog post. Dataset subsets Cosmopedia v2 Cosmopedia v2 is an enhanced version of Cosmopedia, the largest synthetic dataset for pre-training, consisting of over 39 million textbooks, blog posts, and stories generated by… See the full description on the dataset page: https://huggingface.co./datasets/HuggingFaceTB/smollm-corpus.

625552d2b339bb03abe3432d

openai/gsm8k

openai

{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "task_ids": [], "paperswithcode_id": "gsm8k", "pretty_name": "Grade School Math 8K", "tags": ["math-word-problems"], "dataset_info": [{"config_name": "main", "features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3963202, "num_examples": 7473}, {"name": "test", "num_bytes": 713732, "num_examples": 1319}], "download_size": 2725633, "dataset_size": 4676934}, {"config_name": "socratic", "features": [{"name": "question", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5198108, "num_examples": 7473}, {"name": "test", "num_bytes": 936859, "num_examples": 1319}], "download_size": 3164254, "dataset_size": 6134967}], "configs": [{"config_name": "main", "data_files": [{"split": "train", "path": "main/train-*"}, {"split": "test", "path": "main/test-*"}]}, {"config_name": "socratic", "data_files": [{"split": "train", "path": "socratic/train-*"}, {"split": "test", "path": "socratic/test-*"}]}]}

e53f048856ff4f594e959d75785d2c2d37b678ee

Dataset Card for GSM8K Dataset Summary GSM8K (Grade School Math 8K) is a dataset of 8.5K high quality linguistically diverse grade school math word problems. The dataset was created to support the task of question answering on basic mathematical problems that require multi-step reasoning. These problems take between 2 and 8 steps to solve. Solutions primarily involve performing a sequence of elementary calculations using basic arithmetic operations (+ − ×÷) to… See the full description on the dataset page: https://huggingface.co./datasets/openai/gsm8k.

gsm8k

649444227853dd12c3bbadd8

Amod/mental_health_counseling_conversations

Amod

{"license": "openrail", "task_categories": ["text-generation", "question-answering"], "language": ["en"], "tags": ["medical"], "size_categories": ["1K<n<10K"]}

4672e03c7f1a7b2215eb4302b83ca50449ce2553

Amod/mental_health_counseling_conversations Dataset Summary This dataset is a collection of questions and answers sourced from two online counseling and therapy platforms. The questions cover a wide range of mental health topics, and the answers are provided by qualified psychologists. The dataset is intended to be used for fine-tuning language models to improve their ability to provide mental health advice. Supported Tasks and Leaderboards The… See the full description on the dataset page: https://huggingface.co./datasets/Amod/mental_health_counseling_conversations.

6695831f2d25bd04e969b0a2

AI-MO/NuminaMath-CoT

AI-MO

{"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "problem", "dtype": "string"}, {"name": "solution", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 2495457595.0398345, "num_examples": 859494}, {"name": "test", "num_bytes": 290340.31593470514, "num_examples": 100}], "download_size": 1234351634, "dataset_size": 2495747935.355769}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}]}], "license": "apache-2.0", "task_categories": ["text-generation"], "language": ["en"], "tags": ["aimo", "math"], "pretty_name": "NuminaMath CoT"}

9d8d210c9f6a36c8f3cd84045668c9b7800ef517

Dataset Card for NuminaMath CoT Dataset Summary Approximately 860k math problems, where each solution is formatted in a Chain of Thought (CoT) manner. The sources of the dataset range from Chinese high school math exercises to US and international mathematics olympiad competition problems. The data were primarily collected from online exam paper PDFs and mathematics discussion forums. The processing steps include (a) OCR from the original PDFs, (b) segmentation… See the full description on the dataset page: https://huggingface.co./datasets/AI-MO/NuminaMath-CoT.

66bf379e2777c05070aad43a

deepseek-ai/DeepSeek-Prover-V1

deepseek-ai

{"license": "other", "license_name": "deepseek-license", "license_link": "LICENSE"}

1ee889f608fb12ba3596757ee91a60acd663ea81

Evaluation Results | Model & Dataset Downloads | License | Contact Paper Link👁️ DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data 1. Introduction Proof assistants like Lean have revolutionized mathematical proof verification, ensuring high accuracy and reliability. Although large language models (LLMs) show… See the full description on the dataset page: https://huggingface.co./datasets/deepseek-ai/DeepSeek-Prover-V1.

66cbf7ef92e9f5b19fcd65aa

cfahlgren1/react-code-instructions

cfahlgren1

{"license": "mit", "pretty_name": "React Code Instructions"}

2682d2ce9a44b67065f220094d85e54f87596965

React Code Instructions Popular Queries Number of instructions by Model Unnested Messages Instructions Added Per Day Dataset of Claude Artifact esque React Apps generated by Llama 3.1 70B, Llama 3.1 405B, and Deepseek Chat V3. Examples Virtual Fitness Trainer Website LinkedIn Clone iPhone Calculator Chipotle Waitlist Apple Store

673a1149a7a311f5bed5c624

HuggingFaceTB/smoltalk

HuggingFaceTB

{"language": ["en"], "tags": ["synthetic"], "pretty_name": "SmolTalk", "size_categories": ["1M<n<10M"], "configs": [{"config_name": "all", "data_files": [{"split": "train", "path": "data/all/train-*"}, {"split": "test", "path": "data/all/test-*"}]}, {"config_name": "smol-magpie-ultra", "data_files": [{"split": "train", "path": "data/smol-magpie-ultra/train-*"}, {"split": "test", "path": "data/smol-magpie-ultra/test-*"}]}, {"config_name": "smol-constraints", "data_files": [{"split": "train", "path": "data/smol-constraints/train-*"}, {"split": "test", "path": "data/smol-constraints/test-*"}]}, {"config_name": "smol-rewrite", "data_files": [{"split": "train", "path": "data/smol-rewrite/train-*"}, {"split": "test", "path": "data/smol-rewrite/test-*"}]}, {"config_name": "smol-summarize", "data_files": [{"split": "train", "path": "data/smol-summarize/train-*"}, {"split": "test", "path": "data/smol-summarize/test-*"}]}, {"config_name": "apigen-80k", "data_files": [{"split": "train", "path": "data/apigen-80k/train-*"}, {"split": "test", "path": "data/apigen-80k/test-*"}]}, {"config_name": "everyday-conversations", "data_files": [{"split": "train", "path": "data/everyday-conversations/train-*"}, {"split": "test", "path": "data/everyday-conversations/test-*"}]}, {"config_name": "explore-instruct-rewriting", "data_files": [{"split": "train", "path": "data/explore-instruct-rewriting/train-*"}, {"split": "test", "path": "data/explore-instruct-rewriting/test-*"}]}, {"config_name": "longalign", "data_files": [{"split": "train", "path": "data/longalign/train-*"}, {"split": "test", "path": "data/longalign/test-*"}]}, {"config_name": "metamathqa-50k", "data_files": [{"split": "train", "path": "data/metamathqa-50k/train-*"}, {"split": "test", "path": "data/metamathqa-50k/test-*"}]}, {"config_name": "numina-cot-100k", "data_files": [{"split": "train", "path": "data/numina-cot-100k/train-*"}, {"split": "test", "path": "data/numina-cot-100k/test-*"}]}, {"config_name": "openhermes-100k", "data_files": [{"split": "train", "path": "data/openhermes-100k/train-*"}, {"split": "test", "path": "data/openhermes-100k/test-*"}]}, {"config_name": "self-oss-instruct", "data_files": [{"split": "train", "path": "data/self-oss-instruct/train-*"}, {"split": "test", "path": "data/self-oss-instruct/test-*"}]}, {"config_name": "systemchats-30k", "data_files": [{"split": "train", "path": "data/systemchats-30k/train-*"}, {"split": "test", "path": "data/systemchats-30k/test-*"}]}]}

5a40ecb185e55dd30edf3c24b77e67f6ea0d659b

SmolTalk Dataset description This is a synthetic dataset designed for supervised finetuning (SFT) of LLMs. It was used to build SmolLM2-Instruct family of models and contains 1M samples. During the development of SmolLM2, we observed that models finetuned on public SFT datasets underperformed compared to other models with proprietary instruction datasets. To address this gap, we created new synthetic datasets that improve instruction following while covering… See the full description on the dataset page: https://huggingface.co./datasets/HuggingFaceTB/smoltalk.

677f8c59100130181b277f98

Magpie-Align/Magpie-Reasoning-V2-250K-CoT-QwQ

Magpie-Align

{"dataset_info": {"features": [{"name": "conversation_id", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "gen_input_configs", "struct": [{"name": "temperature", "dtype": "float64"}, {"name": "top_p", "dtype": "float64"}, {"name": "input_generator", "dtype": "string"}, {"name": "seed", "dtype": "null"}, {"name": "pre_query_template", "dtype": "string"}]}, {"name": "gen_response_configs", "struct": [{"name": "prompt", "dtype": "string"}, {"name": "temperature", "dtype": "int64"}, {"name": "top_p", "dtype": "float64"}, {"name": "repetition_penalty", "dtype": "float64"}, {"name": "max_tokens", "dtype": "int64"}, {"name": "stop_tokens", "sequence": "string"}, {"name": "output_generator", "dtype": "string"}, {"name": "engine", "dtype": "string"}]}, {"name": "intent", "dtype": "string"}, {"name": "knowledge", "dtype": "string"}, {"name": "difficulty", "dtype": "string"}, {"name": "difficulty_generator", "dtype": "string"}, {"name": "input_quality", "dtype": "string"}, {"name": "quality_explanation", "dtype": "string"}, {"name": "quality_generator", "dtype": "string"}, {"name": "task_category", "dtype": "string"}, {"name": "other_task_category", "sequence": "string"}, {"name": "task_category_generator", "dtype": "string"}, {"name": "language", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5554160731, "num_examples": 249922}], "download_size": 1959171390, "dataset_size": 5554160731}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "license": "llama3.1", "language": ["en"], "size_categories": ["100K<n<1M"]}

baef06951f0f8908eb33f017501887d26a47bef6

Project Web: https://magpie-align.github.io/ Arxiv Technical Report: https://arxiv.org/abs/2406.08464 Codes: https://github.com/magpie-align/magpie Abstract Click Here High-quality instruction data is critical for aligning large language models (LLMs). Although some models, such as Llama-3-Instruct, have open weights, their alignment data remain private, which hinders the democratization of AI. High human labor costs and a limited, predefined scope for prompting prevent… See the full description on the dataset page: https://huggingface.co./datasets/Magpie-Align/Magpie-Reasoning-V2-250K-CoT-QwQ.

6783a59740c063f6d94bc398

Egor-AI/Dataset_of_Russian_thinking

Egor-AI

{"license": "mit", "task_categories": ["text-generation"], "language": ["ru"], "tags": ["cot", "chain-of-thought", "reflection", "translation", "russian"], "size_categories": ["100K<n<1M"]}

857f8bb29b0995b6c311e69bd455cdbfc4de5554

Ru RTD Описание:Russian Thinking Dataset — это набор данных, предназначенный для обучения и тестирования моделей обработки естественного языка (NLP) на русском языке. Датасет ориентирован на задачи, связанные с генерацией текста, анализом диалогов и решением математических и логических задач. Основная информация: Сплит: train Количество записей: 147.046 Цели: Обучение моделей пониманию русского языка. Создание диалоговых систем с естественным взаимодействием.… See the full description on the dataset page: https://huggingface.co./datasets/Egor-AI/Dataset_of_Russian_thinking.

678a869e70768ae96e952301

prithivMLmods/PyCodeZone

prithivMLmods

{"license": "apache-2.0", "task_categories": ["text-classification", "text-generation", "question-answering", "summarization"], "language": ["en"], "tags": ["Python", "Coder"], "size_categories": ["10K<n<100K"]}

361d035eb90010b214431acf0bfa059e0c528929

PyCodeZone Dataset Overview The PyCodeZone dataset is a collection of Python code snippets and instructions designed to assist in learning and practicing Python programming. This dataset includes various coding tasks, examples, and solutions, making it a valuable resource for both beginners and experienced programmers. Dataset Details Modalities Text: The dataset primarily contains text data, including Python code snippets and instructions.… See the full description on the dataset page: https://huggingface.co./datasets/prithivMLmods/PyCodeZone.

678ad9ee60632fed8416740e

prithivMLmods/PyThagoreans-Merged

prithivMLmods

{"license": "apache-2.0", "task_categories": ["question-answering", "summarization", "text2text-generation", "text-generation"], "language": ["en"], "tags": ["Math", "Answering", "Python-Code-Solution"], "size_categories": ["1M<n<10M"]}

978d95cef0b8372ca00b9c21067b241f0006d1c9

PyThagoreans Dataset Overview The PyThagoreans dataset is a comprehensive collection of math problems and their solutions, designed to assist in learning and practicing mathematical problem-solving. This dataset includes a variety of problems, expected answers, and predicted answers, making it a valuable resource for students, educators, and researchers. Dataset Details Modalities Text: The dataset primarily contains text data, including math… See the full description on the dataset page: https://huggingface.co./datasets/prithivMLmods/PyThagoreans-Merged.

678ae5250d02ca0d8d2a2241

prithivMLmods/Math-Forge-Hard

prithivMLmods

{"license": "apache-2.0", "task_categories": ["text-generation", "summarization", "question-answering"], "language": ["en"], "tags": ["Math", "Single-Shot-Answering"], "size_categories": ["1K<n<10K"]}

1a24921569930e655b44c3424e437129f99a8302

Math-Forge-Hard Dataset Overview The Math-Forge-Hard dataset is a collection of challenging math problems designed to test and improve problem-solving skills. This dataset includes a variety of word problems that cover different mathematical concepts, making it a valuable resource for students, educators, and researchers. Dataset Details Modalities Text: The dataset primarily contains text data, including math word problems. Formats… See the full description on the dataset page: https://huggingface.co./datasets/prithivMLmods/Math-Forge-Hard.

621ffdd236468d709f18200d

Salesforce/wikitext

Salesforce

{"annotations_creators": ["no-annotation"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-sa-3.0", "gfdl"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked-language-modeling"], "paperswithcode_id": "wikitext-2", "pretty_name": "WikiText", "dataset_info": [{"config_name": "wikitext-103-raw-v1", "features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1305088, "num_examples": 4358}, {"name": "train", "num_bytes": 546500949, "num_examples": 1801350}, {"name": "validation", "num_bytes": 1159288, "num_examples": 3760}], "download_size": 315466397, "dataset_size": 548965325}, {"config_name": "wikitext-103-v1", "features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1295575, "num_examples": 4358}, {"name": "train", "num_bytes": 545141915, "num_examples": 1801350}, {"name": "validation", "num_bytes": 1154751, "num_examples": 3760}], "download_size": 313093838, "dataset_size": 547592241}, {"config_name": "wikitext-2-raw-v1", "features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1305088, "num_examples": 4358}, {"name": "train", "num_bytes": 11061717, "num_examples": 36718}, {"name": "validation", "num_bytes": 1159288, "num_examples": 3760}], "download_size": 7747362, "dataset_size": 13526093}, {"config_name": "wikitext-2-v1", "features": [{"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 1270947, "num_examples": 4358}, {"name": "train", "num_bytes": 10918118, "num_examples": 36718}, {"name": "validation", "num_bytes": 1134123, "num_examples": 3760}], "download_size": 7371282, "dataset_size": 13323188}], "configs": [{"config_name": "wikitext-103-raw-v1", "data_files": [{"split": "test", "path": "wikitext-103-raw-v1/test-*"}, {"split": "train", "path": "wikitext-103-raw-v1/train-*"}, {"split": "validation", "path": "wikitext-103-raw-v1/validation-*"}]}, {"config_name": "wikitext-103-v1", "data_files": [{"split": "test", "path": "wikitext-103-v1/test-*"}, {"split": "train", "path": "wikitext-103-v1/train-*"}, {"split": "validation", "path": "wikitext-103-v1/validation-*"}]}, {"config_name": "wikitext-2-raw-v1", "data_files": [{"split": "test", "path": "wikitext-2-raw-v1/test-*"}, {"split": "train", "path": "wikitext-2-raw-v1/train-*"}, {"split": "validation", "path": "wikitext-2-raw-v1/validation-*"}]}, {"config_name": "wikitext-2-v1", "data_files": [{"split": "test", "path": "wikitext-2-v1/test-*"}, {"split": "train", "path": "wikitext-2-v1/train-*"}, {"split": "validation", "path": "wikitext-2-v1/validation-*"}]}]}

b08601e04326c79dfdd32d625aee71d232d685c3

Dataset Card for "wikitext" Dataset Summary The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License. Compared to the preprocessed version of Penn Treebank (PTB), WikiText-2 is over 2 times larger and WikiText-103 is over 110 times larger. The WikiText dataset also features a far… See the full description on the dataset page: https://huggingface.co./datasets/Salesforce/wikitext.

wikitext-2

67374c18c32c765810f748f6

HuggingFaceH4/MATH-500

HuggingFaceH4

{"task_categories": ["text-generation"], "language": ["en"], "pretty_name": "MATH-500"}

ff5b20257d8185524591543f8ff5993951537bb8

Dataset Card for MATH-500 This dataset contains a subset of 500 problems from the MATH benchmark that OpenAI created in their Let's Verify Step by Step paper. See their GitHub repo for the source file: https://github.com/openai/prm800k/tree/main?tab=readme-ov-file#math-splits

67449661149efb6edaa63b98

HuggingFaceTB/finemath

HuggingFaceTB

{"license": "odc-by", "dataset_info": [{"config_name": "finemath-3plus", "features": [{"name": "url", "dtype": "string"}, {"name": "fetch_time", "dtype": "int64"}, {"name": "content_mime_type", "dtype": "string"}, {"name": "warc_filename", "dtype": "string"}, {"name": "warc_record_offset", "dtype": "int32"}, {"name": "warc_record_length", "dtype": "int32"}, {"name": "text", "dtype": "string"}, {"name": "token_count", "dtype": "int32"}, {"name": "char_count", "dtype": "int32"}, {"name": "metadata", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "int_score", "dtype": "int64"}, {"name": "crawl", "dtype": "string"}, {"name": "snapshot_type", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "language_score", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 137764105388.93857, "num_examples": 21405610}], "download_size": 65039196945, "dataset_size": 137764105388.93857}, {"config_name": "finemath-4plus", "features": [{"name": "url", "dtype": "string"}, {"name": "fetch_time", "dtype": "int64"}, {"name": "content_mime_type", "dtype": "string"}, {"name": "warc_filename", "dtype": "string"}, {"name": "warc_record_offset", "dtype": "int32"}, {"name": "warc_record_length", "dtype": "int32"}, {"name": "text", "dtype": "string"}, {"name": "token_count", "dtype": "int32"}, {"name": "char_count", "dtype": "int32"}, {"name": "metadata", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "int_score", "dtype": "int64"}, {"name": "crawl", "dtype": "string"}, {"name": "snapshot_type", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "language_score", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 39101488149.09091, "num_examples": 6699493}], "download_size": 18365184633, "dataset_size": 39101488149.09091}, {"config_name": "infiwebmath-3plus", "features": [{"name": "url", "dtype": "string"}, {"name": "metadata", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "int_score", "dtype": "int64"}, {"name": "token_count", "dtype": "int64"}, {"name": "char_count", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 96485696853.10182, "num_examples": 13882669}], "download_size": 46808660851, "dataset_size": 96485696853.10182}, {"config_name": "infiwebmath-4plus", "features": [{"name": "url", "dtype": "string"}, {"name": "metadata", "dtype": "string"}, {"name": "score", "dtype": "float64"}, {"name": "int_score", "dtype": "int64"}, {"name": "token_count", "dtype": "int64"}, {"name": "char_count", "dtype": "int64"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 40002719500.1551, "num_examples": 6296212}], "download_size": 19234328998, "dataset_size": 40002719500.1551}], "configs": [{"config_name": "finemath-3plus", "data_files": [{"split": "train", "path": "finemath-3plus/train-*"}]}, {"config_name": "finemath-4plus", "data_files": [{"split": "train", "path": "finemath-4plus/train-*"}]}, {"config_name": "infiwebmath-3plus", "data_files": [{"split": "train", "path": "infiwebmath-3plus/train-*"}]}, {"config_name": "infiwebmath-4plus", "data_files": [{"split": "train", "path": "infiwebmath-4plus/train-*"}]}]}

8f233cf84cff0b817b3ffb26d5be7370990dd557

📐 FineMath What is it? 📐 FineMath consists of 34B tokens (FineMath-3+) and 54B tokens (FineMath-3+ with InfiMM-WebMath-3+) of mathematical educational content filtered from CommonCrawl. To curate this dataset, we trained a mathematical content classifier using annotations generated by LLama-3.1-70B-Instruct. We used the classifier to retain only the most educational mathematics content, focusing on clear explanations and step-by-step problem solving rather than… See the full description on the dataset page: https://huggingface.co./datasets/HuggingFaceTB/finemath.

676f70846bf205795346d2be

FreedomIntelligence/medical-o1-reasoning-SFT

FreedomIntelligence

{"license": "apache-2.0", "task_categories": ["question-answering", "text-generation"], "language": ["en", "zh"], "tags": ["medical", "biology"], "configs": [{"config_name": "en", "data_files": "medical_o1_sft.json"}, {"config_name": "zh", "data_files": "medical_o1_sft_Chinese.json"}]}

4c9573e7de1e8660b88158db2efa7c7204bbd269

Introduction This dataset is used to fine-tune HuatuoGPT-o1, a medical LLM designed for advanced medical reasoning. This dataset is constructed using GPT-4o, which searches for solutions to verifiable medical problems and validates them through a medical verifier. For details, see our paper and GitHub repository. Citation If you find our data useful, please consider citing our work! @misc{chen2024huatuogpto1medicalcomplexreasoning, title={HuatuoGPT-o1… See the full description on the dataset page: https://huggingface.co./datasets/FreedomIntelligence/medical-o1-reasoning-SFT.

67869e7baa6d280b753f0158

Rapidata/awesome-text2video-prompts

Rapidata

{"dataset_info": {"features": [{"name": "Prompt", "dtype": "string"}, {"name": "Video", "dtype": "string"}, {"name": "Category", "dtype": "string"}, {"name": "video_name", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 30812, "num_examples": 198}], "download_size": 12815, "dataset_size": 30812}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "license": "apache-2.0", "task_categories": ["text-to-video", "video-classification"], "language": ["en"], "tags": ["prompts", "t2v", "sora", "t2i", "videos", "text2video", "pika", "veo"], "pretty_name": "Awesome Text-2-Video Prompts", "size_categories": ["n<1K"]}

7496dd31bdf426a71ae24a9501b30ef909f877ef

Rapidata Video Generation Preference Dataset If you get value from this dataset and would like to see more in the future, please consider liking it. This dataset contains prompts for video generation for 14 different categories. They were collected with a combination of manual prompting and ChatGPT 4o. We provide one example sora video generation for each video. Overview Categories and Comments Object Interactions Scenes: Basic scenes with… See the full description on the dataset page: https://huggingface.co./datasets/Rapidata/awesome-text2video-prompts.

67910d637f3f0a450e1ddf73

speechbrain/LargeScaleASR

speechbrain

{"annotations_creators": ["crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "machine-generated"], "language": ["en"], "license": ["cc-by-3.0", "cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1T<n"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "LargeScaleASR", "tags": ["robust-speech-recognition", "noisy-speech-recognition", "speech-recognition"], "configs": [{"config_name": "large", "features": [{"name": "ID", "dtype": "string"}, {"name": "duration", "dtype": "float32"}, {"name": "wav", "dtype": {"audio": {"sample_rate": 16000, "decode": false}}}, {"name": "spk_id", "dtype": "string"}, {"name": "sex", "dtype": "string"}, {"name": "text", "dtype": "string"}], "data_files": [{"split": "train", "path": "large/train*"}, {"split": "dev", "path": "dev/dev*"}, {"split": "test", "path": "test/test*"}]}, {"config_name": "small", "features": [{"name": "ID", "dtype": "string"}, {"name": "duration", "dtype": "float32"}, {"name": "wav", "dtype": {"audio": {"sample_rate": 16000, "decode": false}}}, {"name": "spk_id", "dtype": "string"}, {"name": "sex", "dtype": "string"}, {"name": "text", "dtype": "string"}], "data_files": [{"split": "train", "path": "small/train*"}, {"split": "dev", "path": "dev/dev*"}, {"split": "test", "path": "test/test*"}]}, {"config_name": "medium", "features": [{"name": "ID", "dtype": "string"}, {"name": "duration", "dtype": "float32"}, {"name": "wav", "dtype": {"audio": {"sample_rate": 16000, "decode": false}}}, {"name": "spk_id", "dtype": "string"}, {"name": "sex", "dtype": "string"}, {"name": "text", "dtype": "string"}], "data_files": [{"split": "train", "path": "medium/train*"}, {"split": "dev", "path": "dev/dev*"}, {"split": "test", "path": "test/test*"}]}]}

3b76dfd79619355cdcf78af2f743838247809827

LargeScaleASR: 25,000 hours of transcribed and heterogeneous English speech recognition data for research and commercial use. Made of 6 subsets: large contains 25,000 hours of read / spontaneous and clean / noisy transcribed speech. medium contains 2,500 hours of read / spontaneous and clean / noisy transcribed speech. small contains 250 hours of read / spontaneous and clean / noisy transcribed speech. dev contains 15 hours (more details in the next section). test contains 21 hours… See the full description on the dataset page: https://huggingface.co./datasets/speechbrain/LargeScaleASR.

621ffdd236468d709f181e77

stanfordnlp/imdb

stanfordnlp

{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "paperswithcode_id": "imdb-movie-reviews", "pretty_name": "IMDB", "dataset_info": {"config_name": "plain_text", "features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "neg", "1": "pos"}}}}], "splits": [{"name": "train", "num_bytes": 33432823, "num_examples": 25000}, {"name": "test", "num_bytes": 32650685, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 67106794, "num_examples": 50000}], "download_size": 83446840, "dataset_size": 133190302}, "configs": [{"config_name": "plain_text", "data_files": [{"split": "train", "path": "plain_text/train-*"}, {"split": "test", "path": "plain_text/test-*"}, {"split": "unsupervised", "path": "plain_text/unsupervised-*"}], "default": true}], "train-eval-index": [{"config": "plain_text", "task": "text-classification", "task_id": "binary_classification", "splits": {"train_split": "train", "eval_split": "test"}, "col_mapping": {"text": "text", "label": "target"}, "metrics": [{"type": "accuracy"}, {"name": "Accuracy"}, {"type": "f1", "name": "F1 macro", "args": {"average": "macro"}}, {"type": "f1", "name": "F1 micro", "args": {"average": "micro"}}, {"type": "f1", "name": "F1 weighted", "args": {"average": "weighted"}}, {"type": "precision", "name": "Precision macro", "args": {"average": "macro"}}, {"type": "precision", "name": "Precision micro", "args": {"average": "micro"}}, {"type": "precision", "name": "Precision weighted", "args": {"average": "weighted"}}, {"type": "recall", "name": "Recall macro", "args": {"average": "macro"}}, {"type": "recall", "name": "Recall micro", "args": {"average": "micro"}}, {"type": "recall", "name": "Recall weighted", "args": {"average": "weighted"}}]}]}

e6281661ce1c48d982bc483cf8a173c1bbeb5d31

Dataset Card for "imdb" Dataset Summary Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well. Supported Tasks and Leaderboards More Information Needed Languages More Information Needed… See the full description on the dataset page: https://huggingface.co./datasets/stanfordnlp/imdb.

imdb-movie-reviews

656523d6bfb751371817c448

Idavidrein/gpqa

Idavidrein

{"license": "cc-by-4.0", "viewer": true, "extra_gated_prompt": "You agree to NOT reveal examples from this dataset in plain text or images online, to reduce the risk of leakage into foundation model training corpora.", "extra_gated_fields": {"I accept these terms": "checkbox"}, "configs": [{"config_name": "gpqa_extended", "data_files": "gpqa_extended.csv"}, {"config_name": "gpqa_main", "data_files": "gpqa_main.csv"}, {"config_name": "gpqa_diamond", "data_files": "gpqa_diamond.csv"}, {"config_name": "gpqa_experts", "data_files": "gpqa_experts.csv"}], "task_categories": ["question-answering", "text-generation"], "language": ["en"], "tags": ["open-domain-qa", "open-book-qa", "multiple-choice-qa"], "pretty_name": "GPQA", "size_categories": ["n<1K"]}

90b8e5be2b1d3d2dbfe016cdab47981150600c4a

Dataset Card for GPQA GPQA is a multiple-choice, Q&A dataset of very hard questions written and validated by experts in biology, physics, and chemistry. When attempting questions out of their own domain (e.g., a physicist answers a chemistry question), these experts get only 34% accuracy, despite spending >30m with full access to Google. We request that you do not reveal examples from this dataset in plain text or images online, to reduce the risk of leakage into foundation… See the full description on the dataset page: https://huggingface.co./datasets/Idavidrein/gpqa.

657f287eaf1698aaac668af5

Gourieff/ReActor

Gourieff

{"license": "mit", "viewer": false}

45a6a9ec7f761045440d0f955ba1fd50d7e0c4e6

ReActor Assets The Fast and Simple Face Swap Extension sd-webui-reactor comfyui-reactor-node Models file source license buffalo_l.zip DeepInsight codeformer-v0.1.0.pth sczhou GFPGANv1.3.pth TencentARC GFPGANv1.4.pth TencentARC GPEN-BFR-512.onnx harisreedhar RestoreFormer_PP.onnx netrunner.exe inswapper_128.onnx DeepInsight inswapper_128_fp16.onnx Hillobar

6612d6435e48251da11d7a51

Karsh-CAI/btfChinese-DPO-small

Karsh-CAI

87656faca71ac4c269251716e8a772c6ab290d34

6655eb19d17e141dcb546ed5

HuggingFaceFW/fineweb-edu

HuggingFaceFW

{"license": "odc-by", "task_categories": ["text-generation"], "language": ["en"], "pretty_name": "FineWeb-Edu", "size_categories": ["n>1T"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/*/*"}], "features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "dump", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "date", "dtype": "string"}, {"name": "file_path", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "language_score", "dtype": "float64"}, {"name": "token_count", "dtype": "int64"}, {"name": "score", "dtype": "float64"}, {"name": "int_score", "dtype": "int64"}]}, {"config_name": "sample-10BT", "data_files": [{"split": "train", "path": "sample/10BT/*"}]}, {"config_name": "sample-100BT", "data_files": [{"split": "train", "path": "sample/100BT/*"}]}, {"config_name": "sample-350BT", "data_files": [{"split": "train", "path": "sample/350BT/*"}]}, {"config_name": "CC-MAIN-2024-51", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-51/*"}]}, {"config_name": "CC-MAIN-2024-46", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-46/*"}]}, {"config_name": "CC-MAIN-2024-42", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-42/*"}]}, {"config_name": "CC-MAIN-2024-38", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-38/*"}]}, {"config_name": "CC-MAIN-2024-33", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-33/*"}]}, {"config_name": "CC-MAIN-2024-30", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-30/*"}]}, {"config_name": "CC-MAIN-2024-26", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-26/*"}]}, {"config_name": "CC-MAIN-2024-22", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-22/*"}]}, {"config_name": "CC-MAIN-2024-18", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-18/*"}]}, {"config_name": "CC-MAIN-2024-10", "data_files": [{"split": "train", "path": "data/CC-MAIN-2024-10/*"}]}, {"config_name": "CC-MAIN-2023-50", "data_files": [{"split": "train", "path": "data/CC-MAIN-2023-50/*"}]}, {"config_name": "CC-MAIN-2023-40", "data_files": [{"split": "train", "path": "data/CC-MAIN-2023-40/*"}]}, {"config_name": "CC-MAIN-2023-23", "data_files": [{"split": "train", "path": "data/CC-MAIN-2023-23/*"}]}, {"config_name": "CC-MAIN-2023-14", "data_files": [{"split": "train", "path": "data/CC-MAIN-2023-14/*"}]}, {"config_name": "CC-MAIN-2023-06", "data_files": [{"split": "train", "path": "data/CC-MAIN-2023-06/*"}]}, {"config_name": "CC-MAIN-2022-49", "data_files": [{"split": "train", "path": "data/CC-MAIN-2022-49/*"}]}, {"config_name": "CC-MAIN-2022-40", "data_files": [{"split": "train", "path": "data/CC-MAIN-2022-40/*"}]}, {"config_name": "CC-MAIN-2022-33", "data_files": [{"split": "train", "path": "data/CC-MAIN-2022-33/*"}]}, {"config_name": "CC-MAIN-2022-27", "data_files": [{"split": "train", "path": "data/CC-MAIN-2022-27/*"}]}, {"config_name": "CC-MAIN-2022-21", "data_files": [{"split": "train", "path": "data/CC-MAIN-2022-21/*"}]}, {"config_name": "CC-MAIN-2022-05", "data_files": [{"split": "train", "path": "data/CC-MAIN-2022-05/*"}]}, {"config_name": "CC-MAIN-2021-49", "data_files": [{"split": "train", "path": "data/CC-MAIN-2021-49/*"}]}, {"config_name": "CC-MAIN-2021-43", "data_files": [{"split": "train", "path": "data/CC-MAIN-2021-43/*"}]}, {"config_name": "CC-MAIN-2021-39", "data_files": [{"split": "train", "path": "data/CC-MAIN-2021-39/*"}]}, {"config_name": "CC-MAIN-2021-31", "data_files": [{"split": "train", "path": "data/CC-MAIN-2021-31/*"}]}, {"config_name": "CC-MAIN-2021-25", "data_files": [{"split": "train", "path": "data/CC-MAIN-2021-25/*"}]}, {"config_name": "CC-MAIN-2021-21", "data_files": [{"split": "train", "path": "data/CC-MAIN-2021-21/*"}]}, {"config_name": "CC-MAIN-2021-17", "data_files": [{"split": "train", "path": "data/CC-MAIN-2021-17/*"}]}, {"config_name": "CC-MAIN-2021-10", "data_files": [{"split": "train", "path": "data/CC-MAIN-2021-10/*"}]}, {"config_name": "CC-MAIN-2021-04", "data_files": [{"split": "train", "path": "data/CC-MAIN-2021-04/*"}]}, {"config_name": "CC-MAIN-2020-50", "data_files": [{"split": "train", "path": "data/CC-MAIN-2020-50/*"}]}, {"config_name": "CC-MAIN-2020-45", "data_files": [{"split": "train", "path": "data/CC-MAIN-2020-45/*"}]}, {"config_name": "CC-MAIN-2020-40", "data_files": [{"split": "train", "path": "data/CC-MAIN-2020-40/*"}]}, {"config_name": "CC-MAIN-2020-34", "data_files": [{"split": "train", "path": "data/CC-MAIN-2020-34/*"}]}, {"config_name": "CC-MAIN-2020-29", "data_files": [{"split": "train", "path": "data/CC-MAIN-2020-29/*"}]}, {"config_name": "CC-MAIN-2020-24", "data_files": [{"split": "train", "path": "data/CC-MAIN-2020-24/*"}]}, {"config_name": "CC-MAIN-2020-16", "data_files": [{"split": "train", "path": "data/CC-MAIN-2020-16/*"}]}, {"config_name": "CC-MAIN-2020-10", "data_files": [{"split": "train", "path": "data/CC-MAIN-2020-10/*"}]}, {"config_name": "CC-MAIN-2020-05", "data_files": [{"split": "train", "path": "data/CC-MAIN-2020-05/*"}]}, {"config_name": "CC-MAIN-2019-51", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-51/*"}]}, {"config_name": "CC-MAIN-2019-47", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-47/*"}]}, {"config_name": "CC-MAIN-2019-43", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-43/*"}]}, {"config_name": "CC-MAIN-2019-39", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-39/*"}]}, {"config_name": "CC-MAIN-2019-35", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-35/*"}]}, {"config_name": "CC-MAIN-2019-30", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-30/*"}]}, {"config_name": "CC-MAIN-2019-26", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-26/*"}]}, {"config_name": "CC-MAIN-2019-22", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-22/*"}]}, {"config_name": "CC-MAIN-2019-18", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-18/*"}]}, {"config_name": "CC-MAIN-2019-13", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-13/*"}]}, {"config_name": "CC-MAIN-2019-09", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-09/*"}]}, {"config_name": "CC-MAIN-2019-04", "data_files": [{"split": "train", "path": "data/CC-MAIN-2019-04/*"}]}, {"config_name": "CC-MAIN-2018-51", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-51/*"}]}, {"config_name": "CC-MAIN-2018-47", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-47/*"}]}, {"config_name": "CC-MAIN-2018-43", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-43/*"}]}, {"config_name": "CC-MAIN-2018-39", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-39/*"}]}, {"config_name": "CC-MAIN-2018-34", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-34/*"}]}, {"config_name": "CC-MAIN-2018-30", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-30/*"}]}, {"config_name": "CC-MAIN-2018-26", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-26/*"}]}, {"config_name": "CC-MAIN-2018-22", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-22/*"}]}, {"config_name": "CC-MAIN-2018-17", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-17/*"}]}, {"config_name": "CC-MAIN-2018-13", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-13/*"}]}, {"config_name": "CC-MAIN-2018-09", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-09/*"}]}, {"config_name": "CC-MAIN-2018-05", "data_files": [{"split": "train", "path": "data/CC-MAIN-2018-05/*"}]}, {"config_name": "CC-MAIN-2017-51", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-51/*"}]}, {"config_name": "CC-MAIN-2017-47", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-47/*"}]}, {"config_name": "CC-MAIN-2017-43", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-43/*"}]}, {"config_name": "CC-MAIN-2017-39", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-39/*"}]}, {"config_name": "CC-MAIN-2017-34", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-34/*"}]}, {"config_name": "CC-MAIN-2017-30", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-30/*"}]}, {"config_name": "CC-MAIN-2017-26", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-26/*"}]}, {"config_name": "CC-MAIN-2017-22", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-22/*"}]}, {"config_name": "CC-MAIN-2017-17", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-17/*"}]}, {"config_name": "CC-MAIN-2017-13", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-13/*"}]}, {"config_name": "CC-MAIN-2017-09", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-09/*"}]}, {"config_name": "CC-MAIN-2017-04", "data_files": [{"split": "train", "path": "data/CC-MAIN-2017-04/*"}]}, {"config_name": "CC-MAIN-2016-50", "data_files": [{"split": "train", "path": "data/CC-MAIN-2016-50/*"}]}, {"config_name": "CC-MAIN-2016-44", "data_files": [{"split": "train", "path": "data/CC-MAIN-2016-44/*"}]}, {"config_name": "CC-MAIN-2016-40", "data_files": [{"split": "train", "path": "data/CC-MAIN-2016-40/*"}]}, {"config_name": "CC-MAIN-2016-36", "data_files": [{"split": "train", "path": "data/CC-MAIN-2016-36/*"}]}, {"config_name": "CC-MAIN-2016-30", "data_files": [{"split": "train", "path": "data/CC-MAIN-2016-30/*"}]}, {"config_name": "CC-MAIN-2016-26", "data_files": [{"split": "train", "path": "data/CC-MAIN-2016-26/*"}]}, {"config_name": "CC-MAIN-2016-22", "data_files": [{"split": "train", "path": "data/CC-MAIN-2016-22/*"}]}, {"config_name": "CC-MAIN-2016-18", "data_files": [{"split": "train", "path": "data/CC-MAIN-2016-18/*"}]}, {"config_name": "CC-MAIN-2016-07", "data_files": [{"split": "train", "path": "data/CC-MAIN-2016-07/*"}]}, {"config_name": "CC-MAIN-2015-48", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-48/*"}]}, {"config_name": "CC-MAIN-2015-40", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-40/*"}]}, {"config_name": "CC-MAIN-2015-35", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-35/*"}]}, {"config_name": "CC-MAIN-2015-32", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-32/*"}]}, {"config_name": "CC-MAIN-2015-27", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-27/*"}]}, {"config_name": "CC-MAIN-2015-22", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-22/*"}]}, {"config_name": "CC-MAIN-2015-18", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-18/*"}]}, {"config_name": "CC-MAIN-2015-14", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-14/*"}]}, {"config_name": "CC-MAIN-2015-11", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-11/*"}]}, {"config_name": "CC-MAIN-2015-06", "data_files": [{"split": "train", "path": "data/CC-MAIN-2015-06/*"}]}, {"config_name": "CC-MAIN-2014-52", "data_files": [{"split": "train", "path": "data/CC-MAIN-2014-52/*"}]}, {"config_name": "CC-MAIN-2014-49", "data_files": [{"split": "train", "path": "data/CC-MAIN-2014-49/*"}]}, {"config_name": "CC-MAIN-2014-42", "data_files": [{"split": "train", "path": "data/CC-MAIN-2014-42/*"}]}, {"config_name": "CC-MAIN-2014-41", "data_files": [{"split": "train", "path": "data/CC-MAIN-2014-41/*"}]}, {"config_name": "CC-MAIN-2014-35", "data_files": [{"split": "train", "path": "data/CC-MAIN-2014-35/*"}]}, {"config_name": "CC-MAIN-2014-23", "data_files": [{"split": "train", "path": "data/CC-MAIN-2014-23/*"}]}, {"config_name": "CC-MAIN-2014-15", "data_files": [{"split": "train", "path": "data/CC-MAIN-2014-15/*"}]}, {"config_name": "CC-MAIN-2014-10", "data_files": [{"split": "train", "path": "data/CC-MAIN-2014-10/*"}]}, {"config_name": "CC-MAIN-2013-48", "data_files": [{"split": "train", "path": "data/CC-MAIN-2013-48/*"}]}, {"config_name": "CC-MAIN-2013-20", "data_files": [{"split": "train", "path": "data/CC-MAIN-2013-20/*"}]}]}

81fd597c805179172da5d94ac803cde08d95683d

📚 FineWeb-Edu 1.3 trillion tokens of the finest educational data the 🌐 web has to offer Paper: https://arxiv.org/abs/2406.17557 What is it? 📚 FineWeb-Edu dataset consists of 1.3T tokens and 5.4T tokens (FineWeb-Edu-score-2) of educational web pages filtered from 🍷 FineWeb dataset. This is the 1.3 trillion version. To enhance FineWeb's quality, we developed an educational quality classifier using annotations generated by LLama3-70B-Instruct. We… See the full description on the dataset page: https://huggingface.co./datasets/HuggingFaceFW/fineweb-edu.

675d350fe7684ad896b0d676

lmms-lab/VideoMMMU

lmms-lab

{"dataset_info": [{"config_name": "Adaptation", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "options", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "link_selected", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "question_type", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 78229293, "num_examples": 300}], "download_size": 78107780, "dataset_size": 78229293}, {"config_name": "Comprehension", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "options", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "link_selected", "dtype": "string"}, {"name": "question_type", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 210307, "num_examples": 300}], "download_size": 95067, "dataset_size": 210307}, {"config_name": "Perception", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "options", "sequence": "string"}, {"name": "answer", "dtype": "string"}, {"name": "link_selected", "dtype": "string"}, {"name": "question_type", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 177880, "num_examples": 300}], "download_size": 83750, "dataset_size": 177880}], "configs": [{"config_name": "Adaptation", "data_files": [{"split": "test", "path": "Adaptation/test-*"}]}, {"config_name": "Comprehension", "data_files": [{"split": "test", "path": "Comprehension/test-*"}]}, {"config_name": "Perception", "data_files": [{"split": "test", "path": "Perception/test-*"}]}]}

987dd03d13b8e231eb2cc4c6a955074bf9fa5a23

676f891ec10ee9707d47511e

prithivMLmods/Deepthink-Reasoning

prithivMLmods

{"license": "creativeml-openrail-m", "task_categories": ["question-answering", "text-generation", "summarization", "text2text-generation"], "language": ["en"], "tags": ["Deep-Reasoning", "CoT", "LCoT", "Reasoner"], "size_categories": ["n<1K"]}

7e1b967cdd29b896a8fc1175d1d02147e255d756

Deepthink Reasoning Demo Deepthink Reasoning is a comprehensive data repository designed to break down complex problems, especially in coding (Python, Go, Java, C++, C#, etc.) and algorithms. It provides detailed problem analyses and systematic solutions to achieve the desired outcomes. Features Comprehensive Problem Breakdown: Deepthink Reasoning dissects problems into smaller, manageable components to facilitate effective understanding and solution generation.… See the full description on the dataset page: https://huggingface.co./datasets/prithivMLmods/Deepthink-Reasoning.

67806c6743a58ab7b52ef7ec

Josephgflowers/Finance-Instruct-500k

Josephgflowers

{"license": "apache-2.0", "tags": ["finance", "fine-tuning", "conversational-ai", "named-entity-recognition", "sentiment-analysis", "topic-classification", "rag", "multilingual", "lightweight-llm"]}

cca4a7b31afa54b428255d3a58048836da075b22

Finance-Instruct-500k Dataset Overview Finance-Instruct-500k is a comprehensive and meticulously curated dataset designed to train advanced language models for financial tasks, reasoning, and multi-turn conversations. Combining data from numerous high-quality financial datasets, this corpus provides over 500,000 entries, offering unparalleled depth and versatility for finance-related instruction tuning and fine-tuning. The dataset includes content tailored for… See the full description on the dataset page: https://huggingface.co./datasets/Josephgflowers/Finance-Instruct-500k.

678078c4e8281a79c2ae382c

nvidia/Aegis-AI-Content-Safety-Dataset-2.0

nvidia

{"license": "cc-by-4.0", "language": ["en"], "pretty_name": "Aegis AI Content Safety Dataset 2.0", "task_categories": ["text-classification"], "tags": ["safety", "content moderation", "LLM safety", "toxicity detection", "nemoguard", "aegis"], "size_categories": ["10K<n<100K"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": ["train.json", "refusals_train.json"]}, {"split": "validation", "path": ["validation.json", "refusals_validation.json"]}, {"split": "test", "path": "test.json"}], "default": true}]}

daffb221901ae1d2634e33cf08c5148376208cfb

🛡️ Aegis AI Content Safety Dataset 2.0 The Aegis AI Content Safety Dataset 2.0 is comprised of 33,416 annotated interactions between humans and LLMs, split into 30,007 training samples, 1,445 validation samples, and 1,964 test samples. This release is an extension of the previously published Aegis 1.0 Content Safety Dataset. To curate the dataset, we use the HuggingFace version of human preference data about harmlessness from Anthropic HH-RLHF. We extract only the prompts, and… See the full description on the dataset page: https://huggingface.co./datasets/nvidia/Aegis-AI-Content-Safety-Dataset-2.0.

67820c67b334b2e1e6db54bc

KwaiVGI/GameFactory-Dataset

KwaiVGI

fc3063a63248124142b4d14bc435fadf118fbce7

GameFactory: Creating New Games with Generative Interactive Videos [Project page] [ArXiv] [Dataset] Jiwen Yu1*†, Yiran Qin1*, Xintao Wang2‡, Pengfei Wan2, Di Zhang2, Xihui Liu1‡ 1The University of Hong Kong 2Kuaishou Technology †: Intern at KwaiVGI, Kuaishou Technology, *: Equal Contribution, ‡: Corresponding Authors 🚀 GF-Minecraft Dataset 1. Dataset Introduction The GF-Minecraft Dataset is designed to meet three key… See the full description on the dataset page: https://huggingface.co./datasets/KwaiVGI/GameFactory-Dataset.

6783dfd46f00de0a064cb3e9

callanwu/WebWalkerQA

callanwu

{"license": "apache-2.0", "task_categories": ["question-answering"], "language": ["zh", "en"]}

5c94e18f01679b27b996f79d06755e82ec44c291

📑 The paper of WebWalkerQA is available at arXiv. 📊 The dataset resource is a collection of 680 questions and answers from the WebWebWalker dataset. 🙋 The dataset is in the form of a JSON file. The keys in the JSON include: Question, Answer, Root_Url, and Info. The Info field contains more detailed information, including Hop, Domain, Language, Difficulty_Level, Source Website, and Golden_Path. { "Question": "When is the paper submission deadline for the ACL 2025 Industry Track, and what… See the full description on the dataset page: https://huggingface.co./datasets/callanwu/WebWalkerQA.

6785f05da1e17fbde1d668b0

omni-research/Tarsier2-Recap-585K

omni-research

{"license": "apache-2.0", "configs": [{"config_name": "default", "data_files": [{"split": "ActivityNet", "path": "ActivityNet/metadata.json"}, {"split": "Charades", "path": "Charades/metadata.json"}, {"split": "Charades_Ego", "path": "Charades-Ego/metadata.json"}, {"split": "Ego4D", "path": "Ego4D/metadata.json"}, {"split": "LSMDC", "path": "LSMDC_part*/metadata.json"}, {"split": "Kinetics_700", "path": "Kinetics-700/metadata.json"}, {"split": "Oops", "path": "Oops/metadata.json"}, {"split": "SSV2", "path": "SSV2/metadata.json"}, {"split": "TGIF", "path": "TGIF/metadata.json"}, {"split": "TREC_VTT", "path": "TREC-VTT/metadata.json"}, {"split": "VATEX", "path": "VATEX/metadata.json"}, {"split": "WebVid_10M", "path": "WebVid-10M_part*/metadata.json"}]}], "language": ["en"], "task_categories": ["video-text-to-text"], "tags": ["video"]}

5cffa8342bbd9900fb50fdb7fd1b5f2cd1778ac4

Dataset Card for Tarsier2-Recap-585K Introduction ✨Tarsier2-Recap-585K✨ consists of 585K distinct video clips, lasting for 1972 hours in total, from open-source datasets (e.g. VATEX, TGIF, LSMDC, etc.) and each one with a detailed video description annotated by Tarsier2-7B, which beats GPT-4o in generating detailed and accurate video descriptions for video clips of 5~20 seconds (See the DREAM-1K Leaderboard). Experiments demonstrate its effectiveness in enhancing the… See the full description on the dataset page: https://huggingface.co./datasets/omni-research/Tarsier2-Recap-585K.

6786b16b7be4f6dfce98fdef

Intel/polite-guard

Intel

{"license": "cdla-permissive-2.0", "task_categories": ["text-classification"], "language": ["en"], "size_categories": ["100K<n<1M"], "tags": ["synthetic", "NLP", "politeness", "benchmark", "few-shot", "chain-of-thought"]}

7b34586171914fa7ab75fd275aca8469e1464a64

Polite Guard Dataset type: Synthetic and Annotated Task: Text Classification Domain: Classification of text into polite, somewhat polite, neutral, and impolite categories Source Code: (https://github.com/intel/polite-guard) Model: (https://huggingface.co./Intel/polite-guard) This dataset is for Polite Guard: an open-source NLP language model developed by Intel, fine-tuned from BERT for text classification tasks. Polite Guard is designed to classify text into four categories: polite… See the full description on the dataset page: https://huggingface.co./datasets/Intel/polite-guard.

67887ab869ed6148533ed38b

BIOMEDICA/biomedica_webdataset_24M

BIOMEDICA

{"tags": ["medical", "biology", "chemistry"], "size_categories": ["n>1T"], "extra_gated_prompt": "I understand that this dataset contains articles grouped under three licensing categories: Commercial Use Allowed (CC0, CC BY, CC BY-SA, CC BY-ND licenses), Non-Commercial Use Only (CC BY-NC, CC BY-NC-SA, CC BY-NC-ND licenses), and Other (no machine-readable Creative Commons license, no license, or a custom license). I acknowledge that each individual data point in the dataset specifies its corresponding license type, and I agree that it is my responsibility to verify compliance with the licensing terms before using any specific data point. I further agree to comply with the specific licensing terms of each group when using the dataset in accordance to what is established by the PubMed Central: PMC Open Acces Subset", "extra_gated_fields": {"I confirm that I have read and agree to the data usage agreement outlined above by checking this box": "checkbox", "I want to use this dataset for": "text"}}

d8282587b5595fc8a29dee7f4ffbe5b1731f6011

Dataset Card for Dataset Name Arxiv: Arxiv     |     Website: Biomedica     |     Training instructions: OpenCLIP     |     Tutorial: Google Colab BIOMEDICA Dataset is a large-scale, deep-learning-ready biomedical dataset containing over 24M imagecaption pairs and 30M image-references from 6M unique open-source articles. Each data point is highly annotated with over 27 unique metadata fields, including article level information (e.g., license… See the full description on the dataset page: https://huggingface.co./datasets/BIOMEDICA/biomedica_webdataset_24M.

6788eaf5640e4abf37f1428f

prithivMLmods/Opendoc2-Analysis-Recognition

prithivMLmods

{"license": "apache-2.0", "task_categories": ["image-to-text", "text-retrieval"], "language": ["en"], "tags": ["image", "vision"], "size_categories": ["10K<n<100K"]}

c40019e1246b4d6b662a52c8b1cc1260d3c97e16

Opendoc2-Analysis-Recognition Dataset Overview The Opendoc2-Analysis-Recognition dataset is a collection of data designed for tasks involving image analysis and recognition. It is suitable for various machine learning tasks, including image-to-text conversion, text classification, and image feature extraction. Dataset Details Modalities: Likely includes images and associated labels (specific modalities can be confirmed on the dataset's page). Languages:… See the full description on the dataset page: https://huggingface.co./datasets/prithivMLmods/Opendoc2-Analysis-Recognition.

678a59c3e9c4df77fd1275ef

CarlanLark/pasa-dataset

CarlanLark

232428b0c867268c3b8ded90db4d98c1b30501d6

PaSa Dataset Data for the paper: PaSa: An LLM Agent for Comprehensive Academic Paper Search Further information: https://github.com/bytedance/pasa PaSa: An LLM Agent for Comprehensive Academic Paper Search Yichen He, Guanhua Huang, Peiyuan Feng, Yuan Lin, Yuchen Zhang, Hang Li, Weinan E Paper link: https://arxiv.org/abs/2501.10120

621ffdd236468d709f181e5e

cais/mmlu

cais

{"annotations_creators": ["no-annotation"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": ["multiple-choice-qa"], "paperswithcode_id": "mmlu", "pretty_name": "Measuring Massive Multitask Language Understanding", "language_bcp47": ["en-US"], "dataset_info": [{"config_name": "abstract_algebra", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 17143, "dataset_size": 57303.3562203159}, {"config_name": "all", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 6967453, "num_examples": 14042}, {"name": "validation", "num_bytes": 763484, "num_examples": 1531}, {"name": "dev", "num_bytes": 125353, "num_examples": 285}, {"name": "auxiliary_train", "num_bytes": 161000625, "num_examples": 99842}], "download_size": 51503402, "dataset_size": 168856915}, {"config_name": "anatomy", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 66985.19833357072, "num_examples": 135}, {"name": "validation", "num_bytes": 6981.5649902024825, "num_examples": 14}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 28864, "dataset_size": 76165.9387623697}, {"config_name": "astronomy", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 75420.3714570574, "num_examples": 152}, {"name": "validation", "num_bytes": 7978.931417374265, "num_examples": 16}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 39316, "dataset_size": 85598.47831302814}, {"config_name": "auxiliary_train", "features": [{"name": "train", "struct": [{"name": "answer", "dtype": "int64"}, {"name": "choices", "sequence": "string"}, {"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 161000625, "num_examples": 99842}], "download_size": 47518592, "dataset_size": 161000625}, {"config_name": "business_ethics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 31619, "dataset_size": 57303.3562203159}, {"config_name": "clinical_knowledge", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 131489.4633955277, "num_examples": 265}, {"name": "validation", "num_bytes": 14461.813193990856, "num_examples": 29}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 51655, "dataset_size": 148150.45202811505}, {"config_name": "college_biology", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 71450.87822247542, "num_examples": 144}, {"name": "validation", "num_bytes": 7978.931417374265, "num_examples": 16}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 43017, "dataset_size": 81628.98507844617}, {"config_name": "college_chemistry", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 3989.4657086871325, "num_examples": 8}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 26781, "dataset_size": 55807.30657955822}, {"config_name": "college_computer_science", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 41132, "dataset_size": 57303.3562203159}, {"config_name": "college_mathematics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 26779, "dataset_size": 57303.3562203159}, {"config_name": "college_medicine", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 85840.29119783506, "num_examples": 173}, {"name": "validation", "num_bytes": 10971.030698889615, "num_examples": 22}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 56303, "dataset_size": 99010.49733532117}, {"config_name": "college_physics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 50611.0387409201, "num_examples": 102}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 29539, "dataset_size": 58295.7295289614}, {"config_name": "computer_security", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 30150, "dataset_size": 57303.3562203159}, {"config_name": "conceptual_physics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 116603.86376584532, "num_examples": 235}, {"name": "validation", "num_bytes": 12965.76355323318, "num_examples": 26}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 34968, "dataset_size": 131768.802757675}, {"config_name": "econometrics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 56565.27859279305, "num_examples": 114}, {"name": "validation", "num_bytes": 5984.198563030699, "num_examples": 12}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 36040, "dataset_size": 64748.652594420244}, {"config_name": "electrical_engineering", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 71947.06487679818, "num_examples": 145}, {"name": "validation", "num_bytes": 7978.931417374265, "num_examples": 16}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 26746, "dataset_size": 82125.17173276893}, {"config_name": "elementary_mathematics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 187558.555333998, "num_examples": 378}, {"name": "validation", "num_bytes": 20446.011757021555, "num_examples": 41}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 54987, "dataset_size": 210203.74252961605}, {"config_name": "formal_logic", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 62519.518444666, "num_examples": 126}, {"name": "validation", "num_bytes": 6981.5649902024825, "num_examples": 14}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 32884, "dataset_size": 71700.25887346498}, {"config_name": "global_facts", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 4986.8321358589155, "num_examples": 10}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 19258, "dataset_size": 56804.67300673001}, {"config_name": "high_school_biology", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 153817.86284005127, "num_examples": 310}, {"name": "validation", "num_bytes": 15957.86283474853, "num_examples": 32}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 78216, "dataset_size": 171974.90111339628}, {"config_name": "high_school_chemistry", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 100725.89082751745, "num_examples": 203}, {"name": "validation", "num_bytes": 10971.030698889615, "num_examples": 22}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 45799, "dataset_size": 113896.09696500355}, {"config_name": "high_school_computer_science", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 4488.148922273024, "num_examples": 9}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 39072, "dataset_size": 56305.989793144116}, {"config_name": "high_school_european_history", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 81870.79796325309, "num_examples": 165}, {"name": "validation", "num_bytes": 8976.297844546049, "num_examples": 18}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 196270, "dataset_size": 93046.27124639563}, {"config_name": "high_school_geography", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 98244.95755590372, "num_examples": 198}, {"name": "validation", "num_bytes": 10971.030698889615, "num_examples": 22}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 38255, "dataset_size": 111415.16369338983}, {"config_name": "high_school_government_and_politics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 95764.02428428999, "num_examples": 193}, {"name": "validation", "num_bytes": 10472.347485303722, "num_examples": 21}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 52963, "dataset_size": 108435.5472081902}, {"config_name": "high_school_macroeconomics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 193512.79518587096, "num_examples": 390}, {"name": "validation", "num_bytes": 21443.378184193338, "num_examples": 43}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 68758, "dataset_size": 217155.34880866078}, {"config_name": "high_school_mathematics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 133970.39666714144, "num_examples": 270}, {"name": "validation", "num_bytes": 14461.813193990856, "num_examples": 29}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 45210, "dataset_size": 150631.38529972878}, {"config_name": "high_school_microeconomics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 118092.42372881356, "num_examples": 238}, {"name": "validation", "num_bytes": 12965.76355323318, "num_examples": 26}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 49885, "dataset_size": 133257.36272064323}, {"config_name": "high_school_physics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 74924.18480273466, "num_examples": 151}, {"name": "validation", "num_bytes": 8477.614630960157, "num_examples": 17}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 45483, "dataset_size": 85600.9748722913}, {"config_name": "high_school_psychology", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 270421.7266058966, "num_examples": 545}, {"name": "validation", "num_bytes": 29920.992815153495, "num_examples": 60}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 113158, "dataset_size": 302541.8948596466}, {"config_name": "high_school_statistics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 107176.31733371314, "num_examples": 216}, {"name": "validation", "num_bytes": 11469.713912475507, "num_examples": 23}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 74924, "dataset_size": 120845.20668478514}, {"config_name": "high_school_us_history", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 101222.0774818402, "num_examples": 204}, {"name": "validation", "num_bytes": 10971.030698889615, "num_examples": 22}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 200043, "dataset_size": 114392.2836193263}, {"config_name": "high_school_world_history", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 117596.23707449081, "num_examples": 237}, {"name": "validation", "num_bytes": 12965.76355323318, "num_examples": 26}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 250302, "dataset_size": 132761.17606632048}, {"config_name": "human_aging", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 110649.62391397236, "num_examples": 223}, {"name": "validation", "num_bytes": 11469.713912475507, "num_examples": 23}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 41196, "dataset_size": 124318.51326504436}, {"config_name": "human_sexuality", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 65000.451716279735, "num_examples": 131}, {"name": "validation", "num_bytes": 5984.198563030699, "num_examples": 12}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 32533, "dataset_size": 73183.82571790692}, {"config_name": "international_law", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 60038.58517305227, "num_examples": 121}, {"name": "validation", "num_bytes": 6482.88177661659, "num_examples": 13}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 41592, "dataset_size": 68720.64238826535}, {"config_name": "jurisprudence", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 53588.15866685657, "num_examples": 108}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 33578, "dataset_size": 61272.84945489787}, {"config_name": "logical_fallacies", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 80878.4246546076, "num_examples": 163}, {"name": "validation", "num_bytes": 8976.297844546049, "num_examples": 18}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 33669, "dataset_size": 92053.89793775014}, {"config_name": "machine_learning", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 55572.90528414756, "num_examples": 112}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 31121, "dataset_size": 63257.596072188855}, {"config_name": "management", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 51107.225395242844, "num_examples": 103}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 22828, "dataset_size": 58791.91618328414}, {"config_name": "marketing", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 116107.67711152257, "num_examples": 234}, {"name": "validation", "num_bytes": 12467.08033964729, "num_examples": 25}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 49747, "dataset_size": 130773.93288976635}, {"config_name": "medical_genetics", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 25775, "dataset_size": 57303.3562203159}, {"config_name": "miscellaneous", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 388514.15033471014, "num_examples": 783}, {"name": "validation", "num_bytes": 42886.756368386676, "num_examples": 86}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 115097, "dataset_size": 433600.08214169333}, {"config_name": "moral_disputes", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 171680.58239567012, "num_examples": 346}, {"name": "validation", "num_bytes": 18949.96211626388, "num_examples": 38}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 76043, "dataset_size": 192829.71995053047}, {"config_name": "moral_scenarios", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 444087.05561885773, "num_examples": 895}, {"name": "validation", "num_bytes": 49868.32135858916, "num_examples": 100}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 109869, "dataset_size": 496154.5524160434}, {"config_name": "nutrition", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 151833.1162227603, "num_examples": 306}, {"name": "validation", "num_bytes": 16456.54604833442, "num_examples": 33}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 69050, "dataset_size": 170488.8377096912}, {"config_name": "philosophy", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 154314.04949437402, "num_examples": 311}, {"name": "validation", "num_bytes": 16955.229261920314, "num_examples": 34}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 61912, "dataset_size": 173468.45419489083}, {"config_name": "prehistory", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 160764.47600056973, "num_examples": 324}, {"name": "validation", "num_bytes": 17453.912475506204, "num_examples": 35}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 68826, "dataset_size": 180417.5639146724}, {"config_name": "professional_accounting", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 139924.6365190144, "num_examples": 282}, {"name": "validation", "num_bytes": 15459.179621162639, "num_examples": 31}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 87297, "dataset_size": 157582.99157877354}, {"config_name": "professional_law", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 761150.3277310925, "num_examples": 1534}, {"name": "validation", "num_bytes": 84776.14630960157, "num_examples": 170}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 1167828, "dataset_size": 848125.6494792906}, {"config_name": "professional_medicine", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 134962.7699757869, "num_examples": 272}, {"name": "validation", "num_bytes": 15459.179621162639, "num_examples": 31}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 153242, "dataset_size": 152621.12503554605}, {"config_name": "professional_psychology", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 303666.2324455206, "num_examples": 612}, {"name": "validation", "num_bytes": 34409.14173742652, "num_examples": 69}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 159357, "dataset_size": 340274.5496215436}, {"config_name": "public_relations", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 54580.53197550207, "num_examples": 110}, {"name": "validation", "num_bytes": 5984.198563030699, "num_examples": 12}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 31500, "dataset_size": 62763.90597712925}, {"config_name": "security_studies", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 121565.73030907278, "num_examples": 245}, {"name": "validation", "num_bytes": 13464.446766819072, "num_examples": 27}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 140258, "dataset_size": 137229.35251448833}, {"config_name": "sociology", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 99733.51751887196, "num_examples": 201}, {"name": "validation", "num_bytes": 10971.030698889615, "num_examples": 22}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 56480, "dataset_size": 112903.72365635807}, {"config_name": "us_foreign_policy", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 49618.6654322746, "num_examples": 100}, {"name": "validation", "num_bytes": 5485.515349444808, "num_examples": 11}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 29027, "dataset_size": 57303.3562203159}, {"config_name": "virology", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 82366.98461757584, "num_examples": 166}, {"name": "validation", "num_bytes": 8976.297844546049, "num_examples": 18}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 38229, "dataset_size": 93542.45790071838}, {"config_name": "world_religions", "features": [{"name": "question", "dtype": "string"}, {"name": "subject", "dtype": "string"}, {"name": "choices", "sequence": "string"}, {"name": "answer", "dtype": {"class_label": {"names": {"0": "A", "1": "B", "2": "C", "3": "D"}}}}], "splits": [{"name": "test", "num_bytes": 84847.91788918957, "num_examples": 171}, {"name": "validation", "num_bytes": 9474.98105813194, "num_examples": 19}, {"name": "dev", "num_bytes": 2199.1754385964914, "num_examples": 5}], "download_size": 27165, "dataset_size": 96522.07438591801}], "configs": [{"config_name": "abstract_algebra", "data_files": [{"split": "test", "path": "abstract_algebra/test-*"}, {"split": "validation", "path": "abstract_algebra/validation-*"}, {"split": "dev", "path": "abstract_algebra/dev-*"}]}, {"config_name": "all", "data_files": [{"split": "test", "path": "all/test-*"}, {"split": "validation", "path": "all/validation-*"}, {"split": "dev", "path": "all/dev-*"}, {"split": "auxiliary_train", "path": "all/auxiliary_train-*"}]}, {"config_name": "anatomy", "data_files": [{"split": "test", "path": "anatomy/test-*"}, {"split": "validation", "path": "anatomy/validation-*"}, {"split": "dev", "path": "anatomy/dev-*"}]}, {"config_name": "astronomy", "data_files": [{"split": "test", "path": "astronomy/test-*"}, {"split": "validation", "path": "astronomy/validation-*"}, {"split": "dev", "path": "astronomy/dev-*"}]}, {"config_name": "auxiliary_train", "data_files": [{"split": "train", "path": "auxiliary_train/train-*"}]}, {"config_name": "business_ethics", "data_files": [{"split": "test", "path": "business_ethics/test-*"}, {"split": "validation", "path": "business_ethics/validation-*"}, {"split": "dev", "path": "business_ethics/dev-*"}]}, {"config_name": "clinical_knowledge", "data_files": [{"split": "test", "path": "clinical_knowledge/test-*"}, {"split": "validation", "path": "clinical_knowledge/validation-*"}, {"split": "dev", "path": "clinical_knowledge/dev-*"}]}, {"config_name": "college_biology", "data_files": [{"split": "test", "path": "college_biology/test-*"}, {"split": "validation", "path": "college_biology/validation-*"}, {"split": "dev", "path": "college_biology/dev-*"}]}, {"config_name": "college_chemistry", "data_files": [{"split": "test", "path": "college_chemistry/test-*"}, {"split": "validation", "path": "college_chemistry/validation-*"}, {"split": "dev", "path": "college_chemistry/dev-*"}]}, {"config_name": "college_computer_science", "data_files": [{"split": "test", "path": "college_computer_science/test-*"}, {"split": "validation", "path": "college_computer_science/validation-*"}, {"split": "dev", "path": "college_computer_science/dev-*"}]}, {"config_name": "college_mathematics", "data_files": [{"split": "test", "path": "college_mathematics/test-*"}, {"split": "validation", "path": "college_mathematics/validation-*"}, {"split": "dev", "path": "college_mathematics/dev-*"}]}, {"config_name": "college_medicine", "data_files": [{"split": "test", "path": "college_medicine/test-*"}, {"split": "validation", "path": "college_medicine/validation-*"}, {"split": "dev", "path": "college_medicine/dev-*"}]}, {"config_name": "college_physics", "data_files": [{"split": "test", "path": "college_physics/test-*"}, {"split": "validation", "path": "college_physics/validation-*"}, {"split": "dev", "path": "college_physics/dev-*"}]}, {"config_name": "computer_security", "data_files": [{"split": "test", "path": "computer_security/test-*"}, {"split": "validation", "path": "computer_security/validation-*"}, {"split": "dev", "path": "computer_security/dev-*"}]}, {"config_name": "conceptual_physics", "data_files": [{"split": "test", "path": "conceptual_physics/test-*"}, {"split": "validation", "path": "conceptual_physics/validation-*"}, {"split": "dev", "path": "conceptual_physics/dev-*"}]}, {"config_name": "econometrics", "data_files": [{"split": "test", "path": "econometrics/test-*"}, {"split": "validation", "path": "econometrics/validation-*"}, {"split": "dev", "path": "econometrics/dev-*"}]}, {"config_name": "electrical_engineering", "data_files": [{"split": "test", "path": "electrical_engineering/test-*"}, {"split": "validation", "path": "electrical_engineering/validation-*"}, {"split": "dev", "path": "electrical_engineering/dev-*"}]}, {"config_name": "elementary_mathematics", "data_files": [{"split": "test", "path": "elementary_mathematics/test-*"}, {"split": "validation", "path": "elementary_mathematics/validation-*"}, {"split": "dev", "path": "elementary_mathematics/dev-*"}]}, {"config_name": "formal_logic", "data_files": [{"split": "test", "path": "formal_logic/test-*"}, {"split": "validation", "path": "formal_logic/validation-*"}, {"split": "dev", "path": "formal_logic/dev-*"}]}, {"config_name": "global_facts", "data_files": [{"split": "test", "path": "global_facts/test-*"}, {"split": "validation", "path": "global_facts/validation-*"}, {"split": "dev", "path": "global_facts/dev-*"}]}, {"config_name": "high_school_biology", "data_files": [{"split": "test", "path": "high_school_biology/test-*"}, {"split": "validation", "path": "high_school_biology/validation-*"}, {"split": "dev", "path": "high_school_biology/dev-*"}]}, {"config_name": "high_school_chemistry", "data_files": [{"split": "test", "path": "high_school_chemistry/test-*"}, {"split": "validation", "path": "high_school_chemistry/validation-*"}, {"split": "dev", "path": "high_school_chemistry/dev-*"}]}, {"config_name": "high_school_computer_science", "data_files": [{"split": "test", "path": "high_school_computer_science/test-*"}, {"split": "validation", "path": "high_school_computer_science/validation-*"}, {"split": "dev", "path": "high_school_computer_science/dev-*"}]}, {"config_name": "high_school_european_history", "data_files": [{"split": "test", "path": "high_school_european_history/test-*"}, {"split": "validation", "path": "high_school_european_history/validation-*"}, {"split": "dev", "path": "high_school_european_history/dev-*"}]}, {"config_name": "high_school_geography", "data_files": [{"split": "test", "path": "high_school_geography/test-*"}, {"split": "validation", "path": "high_school_geography/validation-*"}, {"split": "dev", "path": "high_school_geography/dev-*"}]}, {"config_name": "high_school_government_and_politics", "data_files": [{"split": "test", "path": "high_school_government_and_politics/test-*"}, {"split": "validation", "path": "high_school_government_and_politics/validation-*"}, {"split": "dev", "path": "high_school_government_and_politics/dev-*"}]}, {"config_name": "high_school_macroeconomics", "data_files": [{"split": "test", "path": "high_school_macroeconomics/test-*"}, {"split": "validation", "path": "high_school_macroeconomics/validation-*"}, {"split": "dev", "path": "high_school_macroeconomics/dev-*"}]}, {"config_name": "high_school_mathematics", "data_files": [{"split": "test", "path": "high_school_mathematics/test-*"}, {"split": "validation", "path": "high_school_mathematics/validation-*"}, {"split": "dev", "path": "high_school_mathematics/dev-*"}]}, {"config_name": "high_school_microeconomics", "data_files": [{"split": "test", "path": "high_school_microeconomics/test-*"}, {"split": "validation", "path": "high_school_microeconomics/validation-*"}, {"split": "dev", "path": "high_school_microeconomics/dev-*"}]}, {"config_name": "high_school_physics", "data_files": [{"split": "test", "path": "high_school_physics/test-*"}, {"split": "validation", "path": "high_school_physics/validation-*"}, {"split": "dev", "path": "high_school_physics/dev-*"}]}, {"config_name": "high_school_psychology", "data_files": [{"split": "test", "path": "high_school_psychology/test-*"}, {"split": "validation", "path": "high_school_psychology/validation-*"}, {"split": "dev", "path": "high_school_psychology/dev-*"}]}, {"config_name": "high_school_statistics", "data_files": [{"split": "test", "path": "high_school_statistics/test-*"}, {"split": "validation", "path": "high_school_statistics/validation-*"}, {"split": "dev", "path": "high_school_statistics/dev-*"}]}, {"config_name": "high_school_us_history", "data_files": [{"split": "test", "path": "high_school_us_history/test-*"}, {"split": "validation", "path": "high_school_us_history/validation-*"}, {"split": "dev", "path": "high_school_us_history/dev-*"}]}, {"config_name": "high_school_world_history", "data_files": [{"split": "test", "path": "high_school_world_history/test-*"}, {"split": "validation", "path": "high_school_world_history/validation-*"}, {"split": "dev", "path": "high_school_world_history/dev-*"}]}, {"config_name": "human_aging", "data_files": [{"split": "test", "path": "human_aging/test-*"}, {"split": "validation", "path": "human_aging/validation-*"}, {"split": "dev", "path": "human_aging/dev-*"}]}, {"config_name": "human_sexuality", "data_files": [{"split": "test", "path": "human_sexuality/test-*"}, {"split": "validation", "path": "human_sexuality/validation-*"}, {"split": "dev", "path": "human_sexuality/dev-*"}]}, {"config_name": "international_law", "data_files": [{"split": "test", "path": "international_law/test-*"}, {"split": "validation", "path": "international_law/validation-*"}, {"split": "dev", "path": "international_law/dev-*"}]}, {"config_name": "jurisprudence", "data_files": [{"split": "test", "path": "jurisprudence/test-*"}, {"split": "validation", "path": "jurisprudence/validation-*"}, {"split": "dev", "path": "jurisprudence/dev-*"}]}, {"config_name": "logical_fallacies", "data_files": [{"split": "test", "path": "logical_fallacies/test-*"}, {"split": "validation", "path": "logical_fallacies/validation-*"}, {"split": "dev", "path": "logical_fallacies/dev-*"}]}, {"config_name": "machine_learning", "data_files": [{"split": "test", "path": "machine_learning/test-*"}, {"split": "validation", "path": "machine_learning/validation-*"}, {"split": "dev", "path": "machine_learning/dev-*"}]}, {"config_name": "management", "data_files": [{"split": "test", "path": "management/test-*"}, {"split": "validation", "path": "management/validation-*"}, {"split": "dev", "path": "management/dev-*"}]}, {"config_name": "marketing", "data_files": [{"split": "test", "path": "marketing/test-*"}, {"split": "validation", "path": "marketing/validation-*"}, {"split": "dev", "path": "marketing/dev-*"}]}, {"config_name": "medical_genetics", "data_files": [{"split": "test", "path": "medical_genetics/test-*"}, {"split": "validation", "path": "medical_genetics/validation-*"}, {"split": "dev", "path": "medical_genetics/dev-*"}]}, {"config_name": "miscellaneous", "data_files": [{"split": "test", "path": "miscellaneous/test-*"}, {"split": "validation", "path": "miscellaneous/validation-*"}, {"split": "dev", "path": "miscellaneous/dev-*"}]}, {"config_name": "moral_disputes", "data_files": [{"split": "test", "path": "moral_disputes/test-*"}, {"split": "validation", "path": "moral_disputes/validation-*"}, {"split": "dev", "path": "moral_disputes/dev-*"}]}, {"config_name": "moral_scenarios", "data_files": [{"split": "test", "path": "moral_scenarios/test-*"}, {"split": "validation", "path": "moral_scenarios/validation-*"}, {"split": "dev", "path": "moral_scenarios/dev-*"}]}, {"config_name": "nutrition", "data_files": [{"split": "test", "path": "nutrition/test-*"}, {"split": "validation", "path": "nutrition/validation-*"}, {"split": "dev", "path": "nutrition/dev-*"}]}, {"config_name": "philosophy", "data_files": [{"split": "test", "path": "philosophy/test-*"}, {"split": "validation", "path": "philosophy/validation-*"}, {"split": "dev", "path": "philosophy/dev-*"}]}, {"config_name": "prehistory", "data_files": [{"split": "test", "path": "prehistory/test-*"}, {"split": "validation", "path": "prehistory/validation-*"}, {"split": "dev", "path": "prehistory/dev-*"}]}, {"config_name": "professional_accounting", "data_files": [{"split": "test", "path": "professional_accounting/test-*"}, {"split": "validation", "path": "professional_accounting/validation-*"}, {"split": "dev", "path": "professional_accounting/dev-*"}]}, {"config_name": "professional_law", "data_files": [{"split": "test", "path": "professional_law/test-*"}, {"split": "validation", "path": "professional_law/validation-*"}, {"split": "dev", "path": "professional_law/dev-*"}]}, {"config_name": "professional_medicine", "data_files": [{"split": "test", "path": "professional_medicine/test-*"}, {"split": "validation", "path": "professional_medicine/validation-*"}, {"split": "dev", "path": "professional_medicine/dev-*"}]}, {"config_name": "professional_psychology", "data_files": [{"split": "test", "path": "professional_psychology/test-*"}, {"split": "validation", "path": "professional_psychology/validation-*"}, {"split": "dev", "path": "professional_psychology/dev-*"}]}, {"config_name": "public_relations", "data_files": [{"split": "test", "path": "public_relations/test-*"}, {"split": "validation", "path": "public_relations/validation-*"}, {"split": "dev", "path": "public_relations/dev-*"}]}, {"config_name": "security_studies", "data_files": [{"split": "test", "path": "security_studies/test-*"}, {"split": "validation", "path": "security_studies/validation-*"}, {"split": "dev", "path": "security_studies/dev-*"}]}, {"config_name": "sociology", "data_files": [{"split": "test", "path": "sociology/test-*"}, {"split": "validation", "path": "sociology/validation-*"}, {"split": "dev", "path": "sociology/dev-*"}]}, {"config_name": "us_foreign_policy", "data_files": [{"split": "test", "path": "us_foreign_policy/test-*"}, {"split": "validation", "path": "us_foreign_policy/validation-*"}, {"split": "dev", "path": "us_foreign_policy/dev-*"}]}, {"config_name": "virology", "data_files": [{"split": "test", "path": "virology/test-*"}, {"split": "validation", "path": "virology/validation-*"}, {"split": "dev", "path": "virology/dev-*"}]}, {"config_name": "world_religions", "data_files": [{"split": "test", "path": "world_religions/test-*"}, {"split": "validation", "path": "world_religions/validation-*"}, {"split": "dev", "path": "world_religions/dev-*"}]}]}

c30699e8356da336a370243923dbaf21066bb9fe

Dataset Card for MMLU Dataset Summary Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt (ICLR 2021). This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The test spans subjects in the humanities, social sciences, hard sciences, and other areas that are important for some people to learn. This covers 57… See the full description on the dataset page: https://huggingface.co./datasets/cais/mmlu.

mmlu

621ffdd236468d709f182c65

bigscience/P3

bigscience

{"annotations_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100M<n<1B"], "task_categories": ["other"], "pretty_name": "P3", "dataset_info": [{"config_name": "adversarial_qa_dbert_answer_the_following_q", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18313753, "num_examples": 10000}, {"name": "validation", "num_bytes": 1791034, "num_examples": 1000}], "download_size": 6288641, "dataset_size": 20104787}, {"config_name": "adversarial_qa_dbert_based_on", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17580553, "num_examples": 10000}, {"name": "validation", "num_bytes": 1717566, "num_examples": 1000}], "download_size": 6206744, "dataset_size": 19298119}, {"config_name": "adversarial_qa_dbert_generate_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18552810, "num_examples": 10000}, {"name": "validation", "num_bytes": 1824231, "num_examples": 1000}, {"name": "test", "num_bytes": 1954952, "num_examples": 1000}], "download_size": 5882604, "dataset_size": 22331993}, {"config_name": "adversarial_qa_dbert_question_context_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16859685, "num_examples": 10000}, {"name": "validation", "num_bytes": 1646118, "num_examples": 1000}], "download_size": 6180363, "dataset_size": 18505803}, {"config_name": "adversarial_qa_dbert_tell_what_it_is", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17793277, "num_examples": 10000}, {"name": "validation", "num_bytes": 1739418, "num_examples": 1000}], "download_size": 6276720, "dataset_size": 19532695}, {"config_name": "adversarial_qa_dbidaf_answer_the_following_q", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18273217, "num_examples": 10000}, {"name": "validation", "num_bytes": 1797789, "num_examples": 1000}], "download_size": 6321670, "dataset_size": 20071006}, {"config_name": "adversarial_qa_dbidaf_based_on", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17539777, "num_examples": 10000}, {"name": "validation", "num_bytes": 1724577, "num_examples": 1000}], "download_size": 6247591, "dataset_size": 19264354}, {"config_name": "adversarial_qa_dbidaf_generate_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18508967, "num_examples": 10000}, {"name": "validation", "num_bytes": 1830585, "num_examples": 1000}, {"name": "test", "num_bytes": 1925723, "num_examples": 1000}], "download_size": 5983857, "dataset_size": 22265275}, {"config_name": "adversarial_qa_dbidaf_question_context_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16821505, "num_examples": 10000}, {"name": "validation", "num_bytes": 1652425, "num_examples": 1000}], "download_size": 6292806, "dataset_size": 18473930}, {"config_name": "adversarial_qa_dbidaf_tell_what_it_is", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17755161, "num_examples": 10000}, {"name": "validation", "num_bytes": 1745717, "num_examples": 1000}], "download_size": 6250903, "dataset_size": 19500878}, {"config_name": "adversarial_qa_droberta_answer_the_following_q", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18084393, "num_examples": 10000}, {"name": "validation", "num_bytes": 1798375, "num_examples": 1000}], "download_size": 6223439, "dataset_size": 19882768}, {"config_name": "adversarial_qa_droberta_based_on", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17352073, "num_examples": 10000}, {"name": "validation", "num_bytes": 1725151, "num_examples": 1000}], "download_size": 6202901, "dataset_size": 19077224}, {"config_name": "adversarial_qa_droberta_generate_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18257414, "num_examples": 10000}, {"name": "validation", "num_bytes": 1828966, "num_examples": 1000}, {"name": "test", "num_bytes": 1997556, "num_examples": 1000}], "download_size": 5928633, "dataset_size": 22083936}, {"config_name": "adversarial_qa_droberta_question_context_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16638393, "num_examples": 10000}, {"name": "validation", "num_bytes": 1653815, "num_examples": 1000}], "download_size": 6193786, "dataset_size": 18292208}, {"config_name": "adversarial_qa_droberta_tell_what_it_is", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17571837, "num_examples": 10000}, {"name": "validation", "num_bytes": 1747043, "num_examples": 1000}], "download_size": 6152157, "dataset_size": 19318880}, {"config_name": "ag_news_classify", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 79459523, "num_examples": 120000}, {"name": "test", "num_bytes": 5007082, "num_examples": 7600}], "download_size": 37504540, "dataset_size": 84466605}, {"config_name": "ag_news_classify_question_first", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 79339523, "num_examples": 120000}, {"name": "test", "num_bytes": 4999482, "num_examples": 7600}], "download_size": 37311664, "dataset_size": 84339005}, {"config_name": "ag_news_classify_with_choices", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 91699523, "num_examples": 120000}, {"name": "test", "num_bytes": 5782282, "num_examples": 7600}], "download_size": 38377186, "dataset_size": 97481805}, {"config_name": "ag_news_classify_with_choices_question_first", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 91699523, "num_examples": 120000}, {"name": "test", "num_bytes": 5782282, "num_examples": 7600}], "download_size": 38318638, "dataset_size": 97481805}, {"config_name": "ag_news_recommend", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 94039523, "num_examples": 120000}, {"name": "test", "num_bytes": 5930482, "num_examples": 7600}], "download_size": 38368116, "dataset_size": 99970005}, {"config_name": "ag_news_which_section", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 83899523, "num_examples": 120000}, {"name": "test", "num_bytes": 5288282, "num_examples": 7600}], "download_size": 37893964, "dataset_size": 89187805}, {"config_name": "ag_news_which_section_choices", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 100099523, "num_examples": 120000}, {"name": "test", "num_bytes": 6314282, "num_examples": 7600}], "download_size": 39167925, "dataset_size": 106413805}, {"config_name": "ai2_arc_ARC_Challenge_heres_a_problem", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 870695, "num_examples": 1119}, {"name": "validation", "num_bytes": 237526, "num_examples": 299}, {"name": "test", "num_bytes": 929144, "num_examples": 1172}], "download_size": 796298, "dataset_size": 2037365}, {"config_name": "ai2_arc_ARC_Challenge_i_am_hesitating", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1063080, "num_examples": 1119}, {"name": "validation", "num_bytes": 290313, "num_examples": 299}, {"name": "test", "num_bytes": 1135794, "num_examples": 1172}], "download_size": 1087298, "dataset_size": 2489187}, {"config_name": "ai2_arc_ARC_Challenge_multiple_choice", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1079865, "num_examples": 1119}, {"name": "validation", "num_bytes": 294798, "num_examples": 299}, {"name": "test", "num_bytes": 1153374, "num_examples": 1172}], "download_size": 1096748, "dataset_size": 2528037}, {"config_name": "ai2_arc_ARC_Challenge_pick_false_options", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 965402, "num_examples": 1119}, {"name": "validation", "num_bytes": 263171, "num_examples": 299}, {"name": "test", "num_bytes": 1032956, "num_examples": 1172}], "download_size": 1043688, "dataset_size": 2261529}, {"config_name": "ai2_arc_ARC_Challenge_pick_the_most_correct_option", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 812508, "num_examples": 1119}, {"name": "validation", "num_bytes": 221981, "num_examples": 299}, {"name": "test", "num_bytes": 868204, "num_examples": 1172}], "download_size": 791475, "dataset_size": 1902693}, {"config_name": "ai2_arc_ARC_Challenge_qa_options", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 815781, "num_examples": 1119}, {"name": "validation", "num_bytes": 224234, "num_examples": 299}, {"name": "test", "num_bytes": 876782, "num_examples": 1172}], "download_size": 1044349, "dataset_size": 1916797}, {"config_name": "ai2_arc_ARC_Easy_heres_a_problem", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1585434, "num_examples": 2251}, {"name": "validation", "num_bytes": 402833, "num_examples": 570}, {"name": "test", "num_bytes": 1680740, "num_examples": 2376}], "download_size": 1372031, "dataset_size": 3669007}, {"config_name": "ai2_arc_ARC_Easy_i_am_hesitating", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1893561, "num_examples": 2251}, {"name": "validation", "num_bytes": 479155, "num_examples": 570}, {"name": "test", "num_bytes": 2003593, "num_examples": 2376}], "download_size": 1829256, "dataset_size": 4376309}, {"config_name": "ai2_arc_ARC_Easy_multiple_choice", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1927326, "num_examples": 2251}, {"name": "validation", "num_bytes": 487705, "num_examples": 570}, {"name": "test", "num_bytes": 2039233, "num_examples": 2376}], "download_size": 1833872, "dataset_size": 4454264}, {"config_name": "ai2_arc_ARC_Easy_pick_false_options", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1702829, "num_examples": 2251}, {"name": "validation", "num_bytes": 431949, "num_examples": 570}, {"name": "test", "num_bytes": 1803223, "num_examples": 2376}], "download_size": 1773690, "dataset_size": 3938001}, {"config_name": "ai2_arc_ARC_Easy_pick_the_most_correct_option", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1468388, "num_examples": 2251}, {"name": "validation", "num_bytes": 373194, "num_examples": 570}, {"name": "test", "num_bytes": 1557195, "num_examples": 2376}], "download_size": 1359858, "dataset_size": 3398777}, {"config_name": "ai2_arc_ARC_Easy_qa_options", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1396090, "num_examples": 2251}, {"name": "validation", "num_bytes": 353185, "num_examples": 570}, {"name": "test", "num_bytes": 1478497, "num_examples": 2376}], "download_size": 1744673, "dataset_size": 3227772}, {"config_name": "amazon_polarity_Is_this_product_review_positive", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3657525221, "num_examples": 3600000}, {"name": "test", "num_bytes": 406170885, "num_examples": 400000}], "download_size": 2087209082, "dataset_size": 4063696106}, {"config_name": "amazon_polarity_Is_this_review", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3691725225, "num_examples": 3600000}, {"name": "test", "num_bytes": 409970885, "num_examples": 400000}], "download_size": 2092135054, "dataset_size": 4101696110}, {"config_name": "amazon_polarity_Is_this_review_negative", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3596325225, "num_examples": 3600000}, {"name": "test", "num_bytes": 399370885, "num_examples": 400000}], "download_size": 2088926047, "dataset_size": 3995696110}, {"config_name": "amazon_polarity_User_recommend_this_product", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3647231922, "num_examples": 3600000}, {"name": "test", "num_bytes": 405019064, "num_examples": 400000}], "download_size": 1970470915, "dataset_size": 4052250986}, {"config_name": "amazon_polarity_convey_negative_or_positive_sentiment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3853725225, "num_examples": 3600000}, {"name": "test", "num_bytes": 427970885, "num_examples": 400000}], "download_size": 2107131644, "dataset_size": 4281696110}, {"config_name": "amazon_polarity_flattering_or_not", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4156125225, "num_examples": 3600000}, {"name": "test", "num_bytes": 461570885, "num_examples": 400000}], "download_size": 2121811218, "dataset_size": 4617696110}, {"config_name": "amazon_polarity_negative_or_positive_tone", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3983325221, "num_examples": 3600000}, {"name": "test", "num_bytes": 442370885, "num_examples": 400000}], "download_size": 2105973069, "dataset_size": 4425696106}, {"config_name": "amazon_polarity_user_satisfied", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4269525221, "num_examples": 3600000}, {"name": "test", "num_bytes": 474170885, "num_examples": 400000}], "download_size": 2112525496, "dataset_size": 4743696106}, {"config_name": "amazon_polarity_would_you_buy", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4541325221, "num_examples": 3600000}, {"name": "test", "num_bytes": 504370885, "num_examples": 400000}], "download_size": 2145762328, "dataset_size": 5045696106}, {"config_name": "anli_GPT_3_style_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15891829, "num_examples": 16946}, {"name": "validation", "num_bytes": 939241, "num_examples": 1000}, {"name": "test", "num_bytes": 937388, "num_examples": 1000}], "download_size": 6820413, "dataset_size": 17768458}, {"config_name": "anli_GPT_3_style_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 46818519, "num_examples": 50838}, {"name": "validation", "num_bytes": 2767114, "num_examples": 3000}, {"name": "test", "num_bytes": 2761555, "num_examples": 3000}], "download_size": 9095632, "dataset_size": 52347188}, {"config_name": "anli_GPT_3_style_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 42010764, "num_examples": 45460}, {"name": "validation", "num_bytes": 926684, "num_examples": 1000}, {"name": "test", "num_bytes": 932575, "num_examples": 1000}], "download_size": 13987598, "dataset_size": 43870023}, {"config_name": "anli_GPT_3_style_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 123746670, "num_examples": 136380}, {"name": "validation", "num_bytes": 2729443, "num_examples": 3000}, {"name": "test", "num_bytes": 2747116, "num_examples": 3000}], "download_size": 17660861, "dataset_size": 129223229}, {"config_name": "anli_GPT_3_style_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 88846603, "num_examples": 100459}, {"name": "validation", "num_bytes": 1075843, "num_examples": 1200}, {"name": "test", "num_bytes": 1071704, "num_examples": 1200}], "download_size": 28572176, "dataset_size": 90994150}, {"config_name": "anli_GPT_3_style_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 261465576, "num_examples": 301377}, {"name": "validation", "num_bytes": 3166845, "num_examples": 3600}, {"name": "test", "num_bytes": 3154428, "num_examples": 3600}], "download_size": 36725759, "dataset_size": 267786849}, {"config_name": "anli_MNLI_crowdsource_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18848410, "num_examples": 16946}, {"name": "validation", "num_bytes": 1112388, "num_examples": 1000}, {"name": "test", "num_bytes": 1110687, "num_examples": 1000}], "download_size": 7035294, "dataset_size": 21071485}, {"config_name": "anli_MNLI_crowdsource_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 55009135, "num_examples": 50838}, {"name": "validation", "num_bytes": 3250566, "num_examples": 3000}, {"name": "test", "num_bytes": 3245463, "num_examples": 3000}], "download_size": 9425583, "dataset_size": 61505164}, {"config_name": "anli_MNLI_crowdsource_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 49982127, "num_examples": 45460}, {"name": "validation", "num_bytes": 1100103, "num_examples": 1000}, {"name": "test", "num_bytes": 1105922, "num_examples": 1000}], "download_size": 14500912, "dataset_size": 52188152}, {"config_name": "anli_MNLI_crowdsource_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 145734458, "num_examples": 136380}, {"name": "validation", "num_bytes": 3213711, "num_examples": 3000}, {"name": "test", "num_bytes": 3231168, "num_examples": 3000}], "download_size": 18328088, "dataset_size": 152179337}, {"config_name": "anli_MNLI_crowdsource_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 106340935, "num_examples": 100459}, {"name": "validation", "num_bytes": 1283055, "num_examples": 1200}, {"name": "test", "num_bytes": 1279208, "num_examples": 1200}], "download_size": 29613603, "dataset_size": 108903198}, {"config_name": "anli_MNLI_crowdsource_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 309970922, "num_examples": 301377}, {"name": "validation", "num_bytes": 3745161, "num_examples": 3600}, {"name": "test", "num_bytes": 3733620, "num_examples": 3600}], "download_size": 38024929, "dataset_size": 317449703}, {"config_name": "anli_always_sometimes_never_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17096889, "num_examples": 16946}, {"name": "validation", "num_bytes": 1010063, "num_examples": 1000}, {"name": "test", "num_bytes": 1008362, "num_examples": 1000}], "download_size": 6912252, "dataset_size": 19115314}, {"config_name": "anli_always_sometimes_never_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 50213417, "num_examples": 50838}, {"name": "validation", "num_bytes": 2967566, "num_examples": 3000}, {"name": "test", "num_bytes": 2962463, "num_examples": 3000}], "download_size": 9270417, "dataset_size": 56143446}, {"config_name": "anli_always_sometimes_never_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 45261254, "num_examples": 45460}, {"name": "validation", "num_bytes": 997778, "num_examples": 1000}, {"name": "test", "num_bytes": 1003597, "num_examples": 1000}], "download_size": 14120029, "dataset_size": 47262629}, {"config_name": "anli_always_sometimes_never_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 132869278, "num_examples": 136380}, {"name": "validation", "num_bytes": 2930711, "num_examples": 3000}, {"name": "test", "num_bytes": 2948168, "num_examples": 3000}], "download_size": 17944324, "dataset_size": 138748157}, {"config_name": "anli_always_sometimes_never_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 95972062, "num_examples": 100459}, {"name": "validation", "num_bytes": 1160247, "num_examples": 1200}, {"name": "test", "num_bytes": 1156400, "num_examples": 1200}], "download_size": 29037937, "dataset_size": 98288709}, {"config_name": "anli_always_sometimes_never_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 281541025, "num_examples": 301377}, {"name": "validation", "num_bytes": 3405561, "num_examples": 3600}, {"name": "test", "num_bytes": 3394020, "num_examples": 3600}], "download_size": 37305627, "dataset_size": 288340606}, {"config_name": "anli_based_on_the_previous_passage_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16818701, "num_examples": 16946}, {"name": "validation", "num_bytes": 993730, "num_examples": 1000}, {"name": "test", "num_bytes": 992029, "num_examples": 1000}], "download_size": 6901005, "dataset_size": 18804460}, {"config_name": "anli_based_on_the_previous_passage_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 49891443, "num_examples": 50838}, {"name": "validation", "num_bytes": 2948566, "num_examples": 3000}, {"name": "test", "num_bytes": 2943463, "num_examples": 3000}], "download_size": 9261038, "dataset_size": 55783472}, {"config_name": "anli_based_on_the_previous_passage_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 44512935, "num_examples": 45460}, {"name": "validation", "num_bytes": 981445, "num_examples": 1000}, {"name": "test", "num_bytes": 987264, "num_examples": 1000}], "download_size": 14177762, "dataset_size": 46481644}, {"config_name": "anli_based_on_the_previous_passage_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 132005538, "num_examples": 136380}, {"name": "validation", "num_bytes": 2911711, "num_examples": 3000}, {"name": "test", "num_bytes": 2929168, "num_examples": 3000}], "download_size": 18008279, "dataset_size": 137846417}, {"config_name": "anli_based_on_the_previous_passage_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 94323940, "num_examples": 100459}, {"name": "validation", "num_bytes": 1140645, "num_examples": 1200}, {"name": "test", "num_bytes": 1136798, "num_examples": 1200}], "download_size": 29048655, "dataset_size": 96601383}, {"config_name": "anli_based_on_the_previous_passage_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 279632304, "num_examples": 301377}, {"name": "validation", "num_bytes": 3382761, "num_examples": 3600}, {"name": "test", "num_bytes": 3371220, "num_examples": 3600}], "download_size": 37313374, "dataset_size": 286386285}, {"config_name": "anli_can_we_infer_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16276429, "num_examples": 16946}, {"name": "validation", "num_bytes": 961730, "num_examples": 1000}, {"name": "test", "num_bytes": 960029, "num_examples": 1000}], "download_size": 6839362, "dataset_size": 18198188}, {"config_name": "anli_can_we_infer_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 48213789, "num_examples": 50838}, {"name": "validation", "num_bytes": 2849566, "num_examples": 3000}, {"name": "test", "num_bytes": 2844463, "num_examples": 3000}], "download_size": 9152590, "dataset_size": 53907818}, {"config_name": "anli_can_we_infer_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43058215, "num_examples": 45460}, {"name": "validation", "num_bytes": 949445, "num_examples": 1000}, {"name": "test", "num_bytes": 955264, "num_examples": 1000}], "download_size": 14093701, "dataset_size": 44962924}, {"config_name": "anli_can_we_infer_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 127504998, "num_examples": 136380}, {"name": "validation", "num_bytes": 2812711, "num_examples": 3000}, {"name": "test", "num_bytes": 2830168, "num_examples": 3000}], "download_size": 17846937, "dataset_size": 133147877}, {"config_name": "anli_can_we_infer_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 91109252, "num_examples": 100459}, {"name": "validation", "num_bytes": 1102245, "num_examples": 1200}, {"name": "test", "num_bytes": 1098398, "num_examples": 1200}], "download_size": 29010139, "dataset_size": 93309895}, {"config_name": "anli_can_we_infer_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 269686863, "num_examples": 301377}, {"name": "validation", "num_bytes": 3263961, "num_examples": 3600}, {"name": "test", "num_bytes": 3252420, "num_examples": 3600}], "download_size": 37077346, "dataset_size": 276203244}, {"config_name": "anli_claim_true_false_inconclusive_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17425779, "num_examples": 16946}, {"name": "validation", "num_bytes": 1028386, "num_examples": 1000}, {"name": "test", "num_bytes": 1026685, "num_examples": 1000}], "download_size": 6930995, "dataset_size": 19480850}, {"config_name": "anli_claim_true_false_inconclusive_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 51094609, "num_examples": 50838}, {"name": "validation", "num_bytes": 3019566, "num_examples": 3000}, {"name": "test", "num_bytes": 3014463, "num_examples": 3000}], "download_size": 9259651, "dataset_size": 57128638}, {"config_name": "anli_claim_true_false_inconclusive_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 46165603, "num_examples": 45460}, {"name": "validation", "num_bytes": 1016101, "num_examples": 1000}, {"name": "test", "num_bytes": 1021920, "num_examples": 1000}], "download_size": 14229410, "dataset_size": 48203624}, {"config_name": "anli_claim_true_false_inconclusive_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 135233198, "num_examples": 136380}, {"name": "validation", "num_bytes": 2982711, "num_examples": 3000}, {"name": "test", "num_bytes": 3000168, "num_examples": 3000}], "download_size": 18010030, "dataset_size": 141216077}, {"config_name": "anli_claim_true_false_inconclusive_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 97905962, "num_examples": 100459}, {"name": "validation", "num_bytes": 1182249, "num_examples": 1200}, {"name": "test", "num_bytes": 1178402, "num_examples": 1200}], "download_size": 29101408, "dataset_size": 100266613}, {"config_name": "anli_claim_true_false_inconclusive_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 286764893, "num_examples": 301377}, {"name": "validation", "num_bytes": 3467961, "num_examples": 3600}, {"name": "test", "num_bytes": 3456420, "num_examples": 3600}], "download_size": 37244732, "dataset_size": 293689274}, {"config_name": "anli_consider_always_sometimes_never_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17445207, "num_examples": 16946}, {"name": "validation", "num_bytes": 1030579, "num_examples": 1000}, {"name": "test", "num_bytes": 1028726, "num_examples": 1000}], "download_size": 6839509, "dataset_size": 19504512}, {"config_name": "anli_consider_always_sometimes_never_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 51258371, "num_examples": 50838}, {"name": "validation", "num_bytes": 3029114, "num_examples": 3000}, {"name": "test", "num_bytes": 3023555, "num_examples": 3000}], "download_size": 9180137, "dataset_size": 57311040}, {"config_name": "anli_consider_always_sometimes_never_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 46190558, "num_examples": 45460}, {"name": "validation", "num_bytes": 1018022, "num_examples": 1000}, {"name": "test", "num_bytes": 1023913, "num_examples": 1000}], "download_size": 14079808, "dataset_size": 48232493}, {"config_name": "anli_consider_always_sometimes_never_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 135657190, "num_examples": 136380}, {"name": "validation", "num_bytes": 2991443, "num_examples": 3000}, {"name": "test", "num_bytes": 3009116, "num_examples": 3000}], "download_size": 17994408, "dataset_size": 141657749}, {"config_name": "anli_consider_always_sometimes_never_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 98053665, "num_examples": 100459}, {"name": "validation", "num_bytes": 1185475, "num_examples": 1200}, {"name": "test", "num_bytes": 1181336, "num_examples": 1200}], "download_size": 28801257, "dataset_size": 100420476}, {"config_name": "anli_consider_always_sometimes_never_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 287785834, "num_examples": 301377}, {"name": "validation", "num_bytes": 3481245, "num_examples": 3600}, {"name": "test", "num_bytes": 3468828, "num_examples": 3600}], "download_size": 37388930, "dataset_size": 294735907}, {"config_name": "anli_does_it_follow_that_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16014691, "num_examples": 16946}, {"name": "validation", "num_bytes": 946246, "num_examples": 1000}, {"name": "test", "num_bytes": 944393, "num_examples": 1000}], "download_size": 6850268, "dataset_size": 17905330}, {"config_name": "anli_does_it_follow_that_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 47479413, "num_examples": 50838}, {"name": "validation", "num_bytes": 2806114, "num_examples": 3000}, {"name": "test", "num_bytes": 2800555, "num_examples": 3000}], "download_size": 9157471, "dataset_size": 53086082}, {"config_name": "anli_does_it_follow_that_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 42350959, "num_examples": 45460}, {"name": "validation", "num_bytes": 933689, "num_examples": 1000}, {"name": "test", "num_bytes": 939580, "num_examples": 1000}], "download_size": 14009301, "dataset_size": 44224228}, {"config_name": "anli_does_it_follow_that_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 125519610, "num_examples": 136380}, {"name": "validation", "num_bytes": 2768443, "num_examples": 3000}, {"name": "test", "num_bytes": 2786116, "num_examples": 3000}], "download_size": 17813878, "dataset_size": 131074169}, {"config_name": "anli_does_it_follow_that_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 89574331, "num_examples": 100459}, {"name": "validation", "num_bytes": 1084273, "num_examples": 1200}, {"name": "test", "num_bytes": 1080134, "num_examples": 1200}], "download_size": 28722764, "dataset_size": 91738738}, {"config_name": "anli_does_it_follow_that_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 265383477, "num_examples": 301377}, {"name": "validation", "num_bytes": 3213645, "num_examples": 3600}, {"name": "test", "num_bytes": 3201228, "num_examples": 3600}], "download_size": 36971806, "dataset_size": 271798350}, {"config_name": "anli_does_this_imply_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16378105, "num_examples": 16946}, {"name": "validation", "num_bytes": 967730, "num_examples": 1000}, {"name": "test", "num_bytes": 966029, "num_examples": 1000}], "download_size": 6857952, "dataset_size": 18311864}, {"config_name": "anli_does_this_imply_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 48569655, "num_examples": 50838}, {"name": "validation", "num_bytes": 2870566, "num_examples": 3000}, {"name": "test", "num_bytes": 2865463, "num_examples": 3000}], "download_size": 9206568, "dataset_size": 54305684}, {"config_name": "anli_does_this_imply_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43330975, "num_examples": 45460}, {"name": "validation", "num_bytes": 955445, "num_examples": 1000}, {"name": "test", "num_bytes": 961264, "num_examples": 1000}], "download_size": 14096217, "dataset_size": 45247684}, {"config_name": "anli_does_this_imply_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 128459658, "num_examples": 136380}, {"name": "validation", "num_bytes": 2833711, "num_examples": 3000}, {"name": "test", "num_bytes": 2851168, "num_examples": 3000}], "download_size": 17893659, "dataset_size": 134144537}, {"config_name": "anli_does_this_imply_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 91712006, "num_examples": 100459}, {"name": "validation", "num_bytes": 1109445, "num_examples": 1200}, {"name": "test", "num_bytes": 1105598, "num_examples": 1200}], "download_size": 28905910, "dataset_size": 93927049}, {"config_name": "anli_does_this_imply_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 271796502, "num_examples": 301377}, {"name": "validation", "num_bytes": 3289161, "num_examples": 3600}, {"name": "test", "num_bytes": 3277620, "num_examples": 3600}], "download_size": 37105176, "dataset_size": 278363283}, {"config_name": "anli_guaranteed_possible_impossible_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17379156, "num_examples": 16946}, {"name": "validation", "num_bytes": 1028063, "num_examples": 1000}, {"name": "test", "num_bytes": 1026362, "num_examples": 1000}], "download_size": 6881642, "dataset_size": 19433581}, {"config_name": "anli_guaranteed_possible_impossible_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 50721797, "num_examples": 50838}, {"name": "validation", "num_bytes": 2997566, "num_examples": 3000}, {"name": "test", "num_bytes": 2992463, "num_examples": 3000}], "download_size": 9206674, "dataset_size": 56711826}, {"config_name": "anli_guaranteed_possible_impossible_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 45981380, "num_examples": 45460}, {"name": "validation", "num_bytes": 1015778, "num_examples": 1000}, {"name": "test", "num_bytes": 1021597, "num_examples": 1000}], "download_size": 14327402, "dataset_size": 48018755}, {"config_name": "anli_guaranteed_possible_impossible_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 134233078, "num_examples": 136380}, {"name": "validation", "num_bytes": 2960711, "num_examples": 3000}, {"name": "test", "num_bytes": 2978168, "num_examples": 3000}], "download_size": 18001499, "dataset_size": 140171957}, {"config_name": "anli_guaranteed_possible_impossible_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 97659823, "num_examples": 100459}, {"name": "validation", "num_bytes": 1181793, "num_examples": 1200}, {"name": "test", "num_bytes": 1177946, "num_examples": 1200}], "download_size": 29238079, "dataset_size": 100019562}, {"config_name": "anli_guaranteed_possible_impossible_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 284554795, "num_examples": 301377}, {"name": "validation", "num_bytes": 3441561, "num_examples": 3600}, {"name": "test", "num_bytes": 3430020, "num_examples": 3600}], "download_size": 37381060, "dataset_size": 291426376}, {"config_name": "anli_guaranteed_true_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16395051, "num_examples": 16946}, {"name": "validation", "num_bytes": 968730, "num_examples": 1000}, {"name": "test", "num_bytes": 967029, "num_examples": 1000}], "download_size": 6862070, "dataset_size": 18330810}, {"config_name": "anli_guaranteed_true_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 48569655, "num_examples": 50838}, {"name": "validation", "num_bytes": 2870566, "num_examples": 3000}, {"name": "test", "num_bytes": 2865463, "num_examples": 3000}], "download_size": 9211504, "dataset_size": 54305684}, {"config_name": "anli_guaranteed_true_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43376435, "num_examples": 45460}, {"name": "validation", "num_bytes": 956445, "num_examples": 1000}, {"name": "test", "num_bytes": 962264, "num_examples": 1000}], "download_size": 14102262, "dataset_size": 45295144}, {"config_name": "anli_guaranteed_true_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 128459658, "num_examples": 136380}, {"name": "validation", "num_bytes": 2833711, "num_examples": 3000}, {"name": "test", "num_bytes": 2851168, "num_examples": 3000}], "download_size": 17993347, "dataset_size": 134144537}, {"config_name": "anli_guaranteed_true_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 91812465, "num_examples": 100459}, {"name": "validation", "num_bytes": 1110645, "num_examples": 1200}, {"name": "test", "num_bytes": 1106798, "num_examples": 1200}], "download_size": 29020314, "dataset_size": 94029908}, {"config_name": "anli_guaranteed_true_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 271796502, "num_examples": 301377}, {"name": "validation", "num_bytes": 3289161, "num_examples": 3600}, {"name": "test", "num_bytes": 3277620, "num_examples": 3600}], "download_size": 37078739, "dataset_size": 278363283}, {"config_name": "anli_justified_in_saying_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16310321, "num_examples": 16946}, {"name": "validation", "num_bytes": 963730, "num_examples": 1000}, {"name": "test", "num_bytes": 962029, "num_examples": 1000}], "download_size": 6899924, "dataset_size": 18236080}, {"config_name": "anli_justified_in_saying_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 48315465, "num_examples": 50838}, {"name": "validation", "num_bytes": 2855566, "num_examples": 3000}, {"name": "test", "num_bytes": 2850463, "num_examples": 3000}], "download_size": 9182043, "dataset_size": 54021494}, {"config_name": "anli_justified_in_saying_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43149135, "num_examples": 45460}, {"name": "validation", "num_bytes": 951445, "num_examples": 1000}, {"name": "test", "num_bytes": 957264, "num_examples": 1000}], "download_size": 14140227, "dataset_size": 45057844}, {"config_name": "anli_justified_in_saying_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 127777758, "num_examples": 136380}, {"name": "validation", "num_bytes": 2818711, "num_examples": 3000}, {"name": "test", "num_bytes": 2836168, "num_examples": 3000}], "download_size": 17890170, "dataset_size": 133432637}, {"config_name": "anli_justified_in_saying_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 91310170, "num_examples": 100459}, {"name": "validation", "num_bytes": 1104645, "num_examples": 1200}, {"name": "test", "num_bytes": 1100798, "num_examples": 1200}], "download_size": 28886089, "dataset_size": 93515613}, {"config_name": "anli_justified_in_saying_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 270289617, "num_examples": 301377}, {"name": "validation", "num_bytes": 3271161, "num_examples": 3600}, {"name": "test", "num_bytes": 3259620, "num_examples": 3600}], "download_size": 36998968, "dataset_size": 276820398}, {"config_name": "anli_must_be_true_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16700079, "num_examples": 16946}, {"name": "validation", "num_bytes": 986730, "num_examples": 1000}, {"name": "test", "num_bytes": 985029, "num_examples": 1000}], "download_size": 6857831, "dataset_size": 18671838}, {"config_name": "anli_must_be_true_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 49484739, "num_examples": 50838}, {"name": "validation", "num_bytes": 2924566, "num_examples": 3000}, {"name": "test", "num_bytes": 2919463, "num_examples": 3000}], "download_size": 9235780, "dataset_size": 55328768}, {"config_name": "anli_must_be_true_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 44194715, "num_examples": 45460}, {"name": "validation", "num_bytes": 974445, "num_examples": 1000}, {"name": "test", "num_bytes": 980264, "num_examples": 1000}], "download_size": 14268219, "dataset_size": 46149424}, {"config_name": "anli_must_be_true_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 130914498, "num_examples": 136380}, {"name": "validation", "num_bytes": 2887711, "num_examples": 3000}, {"name": "test", "num_bytes": 2905168, "num_examples": 3000}], "download_size": 17976639, "dataset_size": 136707377}, {"config_name": "anli_must_be_true_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 93620727, "num_examples": 100459}, {"name": "validation", "num_bytes": 1132245, "num_examples": 1200}, {"name": "test", "num_bytes": 1128398, "num_examples": 1200}], "download_size": 29164064, "dataset_size": 95881370}, {"config_name": "anli_must_be_true_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 277221288, "num_examples": 301377}, {"name": "validation", "num_bytes": 3353961, "num_examples": 3600}, {"name": "test", "num_bytes": 3342420, "num_examples": 3600}], "download_size": 37276016, "dataset_size": 283917669}, {"config_name": "anli_should_assume_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16445889, "num_examples": 16946}, {"name": "validation", "num_bytes": 971730, "num_examples": 1000}, {"name": "test", "num_bytes": 970029, "num_examples": 1000}], "download_size": 6863556, "dataset_size": 18387648}, {"config_name": "anli_should_assume_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 48722169, "num_examples": 50838}, {"name": "validation", "num_bytes": 2879566, "num_examples": 3000}, {"name": "test", "num_bytes": 2874463, "num_examples": 3000}], "download_size": 9223555, "dataset_size": 54476198}, {"config_name": "anli_should_assume_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43512815, "num_examples": 45460}, {"name": "validation", "num_bytes": 959445, "num_examples": 1000}, {"name": "test", "num_bytes": 965264, "num_examples": 1000}], "download_size": 14186174, "dataset_size": 45437524}, {"config_name": "anli_should_assume_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 128868798, "num_examples": 136380}, {"name": "validation", "num_bytes": 2842711, "num_examples": 3000}, {"name": "test", "num_bytes": 2860168, "num_examples": 3000}], "download_size": 17939154, "dataset_size": 134571677}, {"config_name": "anli_should_assume_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 92113842, "num_examples": 100459}, {"name": "validation", "num_bytes": 1114245, "num_examples": 1200}, {"name": "test", "num_bytes": 1110398, "num_examples": 1200}], "download_size": 29007024, "dataset_size": 94338485}, {"config_name": "anli_should_assume_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 272700633, "num_examples": 301377}, {"name": "validation", "num_bytes": 3299961, "num_examples": 3600}, {"name": "test", "num_bytes": 3288420, "num_examples": 3600}], "download_size": 37311289, "dataset_size": 279289014}, {"config_name": "anli_take_the_following_as_truth_r1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18052781, "num_examples": 16946}, {"name": "validation", "num_bytes": 1065386, "num_examples": 1000}, {"name": "test", "num_bytes": 1063685, "num_examples": 1000}], "download_size": 6958316, "dataset_size": 20181852}, {"config_name": "anli_take_the_following_as_truth_r1_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 52975615, "num_examples": 50838}, {"name": "validation", "num_bytes": 3130566, "num_examples": 3000}, {"name": "test", "num_bytes": 3125463, "num_examples": 3000}], "download_size": 9296438, "dataset_size": 59231644}, {"config_name": "anli_take_the_following_as_truth_r2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 47847623, "num_examples": 45460}, {"name": "validation", "num_bytes": 1053101, "num_examples": 1000}, {"name": "test", "num_bytes": 1058920, "num_examples": 1000}], "download_size": 14375001, "dataset_size": 49959644}, {"config_name": "anli_take_the_following_as_truth_r2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 140279258, "num_examples": 136380}, {"name": "validation", "num_bytes": 3093711, "num_examples": 3000}, {"name": "test", "num_bytes": 3111168, "num_examples": 3000}], "download_size": 18164060, "dataset_size": 146484137}, {"config_name": "anli_take_the_following_as_truth_r3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 101622945, "num_examples": 100459}, {"name": "validation", "num_bytes": 1226649, "num_examples": 1200}, {"name": "test", "num_bytes": 1222802, "num_examples": 1200}], "download_size": 29425321, "dataset_size": 104072396}, {"config_name": "anli_take_the_following_as_truth_r3_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 297915842, "num_examples": 301377}, {"name": "validation", "num_bytes": 3601161, "num_examples": 3600}, {"name": "test", "num_bytes": 3589620, "num_examples": 3600}], "download_size": 37584887, "dataset_size": 305106623}, {"config_name": "app_reviews_categorize_rating_using_review", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 129261543, "num_examples": 288065}], "download_size": 27269906, "dataset_size": 129261543}, {"config_name": "app_reviews_convert_to_rating", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 109714706, "num_examples": 288065}], "download_size": 26630751, "dataset_size": 109714706}, {"config_name": "app_reviews_convert_to_star_rating", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 131909805, "num_examples": 288065}], "download_size": 26563470, "dataset_size": 131909805}, {"config_name": "app_reviews_generate_review", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 113484842, "num_examples": 288065}], "download_size": 24274319, "dataset_size": 113484842}, {"config_name": "cnn_dailymail_3.0.0_2_or_3_sentences", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1353303824, "num_examples": 287113}, {"name": "validation", "num_bytes": 63377730, "num_examples": 13368}, {"name": "test", "num_bytes": 54248498, "num_examples": 11490}], "download_size": 826634652, "dataset_size": 1470930052}, {"config_name": "cnn_dailymail_3.0.0_generate_story", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1323444072, "num_examples": 287113}, {"name": "validation", "num_bytes": 61987458, "num_examples": 13368}, {"name": "test", "num_bytes": 53053538, "num_examples": 11490}], "download_size": 814354501, "dataset_size": 1438485068}, {"config_name": "cnn_dailymail_3.0.0_news_card_view", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1358758971, "num_examples": 287113}, {"name": "validation", "num_bytes": 63631722, "num_examples": 13368}, {"name": "test", "num_bytes": 54466808, "num_examples": 11490}], "download_size": 828285509, "dataset_size": 1476857501}, {"config_name": "cnn_dailymail_3.0.0_news_stock", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1342393530, "num_examples": 287113}, {"name": "validation", "num_bytes": 62869746, "num_examples": 13368}, {"name": "test", "num_bytes": 53811878, "num_examples": 11490}], "download_size": 823791331, "dataset_size": 1459075154}, {"config_name": "cnn_dailymail_3.0.0_news_summary", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1315404908, "num_examples": 287113}, {"name": "validation", "num_bytes": 61613154, "num_examples": 13368}, {"name": "test", "num_bytes": 52731818, "num_examples": 11490}], "download_size": 816889262, "dataset_size": 1429749880}, {"config_name": "cnn_dailymail_3.0.0_spice_up_story", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1346700225, "num_examples": 287113}, {"name": "validation", "num_bytes": 63070266, "num_examples": 13368}, {"name": "test", "num_bytes": 53984228, "num_examples": 11490}], "download_size": 816375399, "dataset_size": 1463754719}, {"config_name": "cnn_dailymail_3.0.0_sum_in_brief", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1318276038, "num_examples": 287113}, {"name": "validation", "num_bytes": 61746834, "num_examples": 13368}, {"name": "test", "num_bytes": 52846718, "num_examples": 11490}], "download_size": 816868929, "dataset_size": 1432869590}, {"config_name": "cnn_dailymail_3.0.0_tldr_summary", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1362778553, "num_examples": 287113}, {"name": "validation", "num_bytes": 63818874, "num_examples": 13368}, {"name": "test", "num_bytes": 54627668, "num_examples": 11490}], "download_size": 829270743, "dataset_size": 1481225095}, {"config_name": "cnn_dailymail_3.0.0_write_an_outline", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1341819304, "num_examples": 287113}, {"name": "validation", "num_bytes": 62843010, "num_examples": 13368}, {"name": "test", "num_bytes": 53788898, "num_examples": 11490}], "download_size": 823267139, "dataset_size": 1458451212}, {"config_name": "common_gen_Example_prompt", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29031267, "num_examples": 67389}, {"name": "validation", "num_bytes": 1772492, "num_examples": 4018}, {"name": "test", "num_bytes": 506143, "num_examples": 1497}], "download_size": 6812479, "dataset_size": 31309902}, {"config_name": "common_gen_Given_concepts_type_1", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 21820644, "num_examples": 67389}, {"name": "validation", "num_bytes": 1342566, "num_examples": 4018}, {"name": "test", "num_bytes": 345964, "num_examples": 1497}], "download_size": 6585498, "dataset_size": 23509174}, {"config_name": "common_gen_Given_concepts_type_2", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23168424, "num_examples": 67389}, {"name": "validation", "num_bytes": 1422926, "num_examples": 4018}, {"name": "test", "num_bytes": 375904, "num_examples": 1497}], "download_size": 6556584, "dataset_size": 24967254}, {"config_name": "common_gen_Put_together", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18114249, "num_examples": 67389}, {"name": "validation", "num_bytes": 1121576, "num_examples": 4018}, {"name": "test", "num_bytes": 263629, "num_examples": 1497}], "download_size": 6345743, "dataset_size": 19499454}, {"config_name": "common_gen_choice_in_concept_centric_sentence_generation", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23307700, "num_examples": 67389}, {"name": "validation", "num_bytes": 1427491, "num_examples": 4018}, {"name": "test", "num_bytes": 378012, "num_examples": 1497}], "download_size": 7465408, "dataset_size": 25113203}, {"config_name": "common_gen_random_task_template_prompt", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17999994, "num_examples": 67389}, {"name": "validation", "num_bytes": 1113822, "num_examples": 4018}, {"name": "test", "num_bytes": 261700, "num_examples": 1497}], "download_size": 6656542, "dataset_size": 19375516}, {"config_name": "common_gen_sentence_to_concepts", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18929101, "num_examples": 67389}, {"name": "validation", "num_bytes": 1169868, "num_examples": 4018}, {"name": "test", "num_bytes": 287581, "num_examples": 1497}], "download_size": 6675913, "dataset_size": 20386550}, {"config_name": "common_gen_topic_to_sentence", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15085866, "num_examples": 67389}, {"name": "validation", "num_bytes": 914278, "num_examples": 4018}, {"name": "test", "num_bytes": 169777, "num_examples": 1497}], "download_size": 5634470, "dataset_size": 16169921}, {"config_name": "common_gen_topics_from_the_sentence", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16631691, "num_examples": 67389}, {"name": "validation", "num_bytes": 1033180, "num_examples": 4018}, {"name": "test", "num_bytes": 230695, "num_examples": 1497}], "download_size": 6505604, "dataset_size": 17895566}, {"config_name": "cos_e_v1.11_aligned_with_common_sense", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5953379, "num_examples": 9741}, {"name": "validation", "num_bytes": 727452, "num_examples": 1221}], "download_size": 2505981, "dataset_size": 6680831}, {"config_name": "cos_e_v1.11_description_question_option_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4842890, "num_examples": 9741}, {"name": "validation", "num_bytes": 603242, "num_examples": 1221}], "download_size": 1883409, "dataset_size": 5446132}, {"config_name": "cos_e_v1.11_description_question_option_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5269699, "num_examples": 9741}, {"name": "validation", "num_bytes": 656059, "num_examples": 1221}], "download_size": 2370657, "dataset_size": 5925758}, {"config_name": "cos_e_v1.11_explain_why_human", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5427397, "num_examples": 9741}, {"name": "validation", "num_bytes": 661522, "num_examples": 1221}], "download_size": 2543940, "dataset_size": 6088919}, {"config_name": "cos_e_v1.11_generate_explanation_given_text", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4677340, "num_examples": 9741}, {"name": "validation", "num_bytes": 567505, "num_examples": 1221}], "download_size": 2486018, "dataset_size": 5244845}, {"config_name": "cos_e_v1.11_i_think", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6041080, "num_examples": 9741}, {"name": "validation", "num_bytes": 738445, "num_examples": 1221}], "download_size": 2559311, "dataset_size": 6779525}, {"config_name": "cos_e_v1.11_question_description_option_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4570142, "num_examples": 9741}, {"name": "validation", "num_bytes": 569054, "num_examples": 1221}], "download_size": 1857489, "dataset_size": 5139196}, {"config_name": "cos_e_v1.11_question_description_option_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4967728, "num_examples": 9741}, {"name": "validation", "num_bytes": 618208, "num_examples": 1221}], "download_size": 2336489, "dataset_size": 5585936}, {"config_name": "cos_e_v1.11_question_option_description_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3693452, "num_examples": 9741}, {"name": "validation", "num_bytes": 459164, "num_examples": 1221}], "download_size": 1816326, "dataset_size": 4152616}, {"config_name": "cos_e_v1.11_question_option_description_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4120261, "num_examples": 9741}, {"name": "validation", "num_bytes": 511981, "num_examples": 1221}], "download_size": 2303921, "dataset_size": 4632242}, {"config_name": "cos_e_v1.11_rationale", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5252059, "num_examples": 9741}, {"name": "validation", "num_bytes": 639544, "num_examples": 1221}], "download_size": 2527140, "dataset_size": 5891603}, {"config_name": "cosmos_qa_context_answer_to_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26180650, "num_examples": 25262}, {"name": "validation", "num_bytes": 3249006, "num_examples": 2985}, {"name": "test", "num_bytes": 6946224, "num_examples": 6963}], "download_size": 14635073, "dataset_size": 36375880}, {"config_name": "cosmos_qa_context_description_question_answer_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34592659, "num_examples": 25262}, {"name": "validation", "num_bytes": 4377835, "num_examples": 2985}, {"name": "test", "num_bytes": 10239710, "num_examples": 6963}], "download_size": 18447200, "dataset_size": 49210204}, {"config_name": "cosmos_qa_context_description_question_answer_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 39970634, "num_examples": 25262}, {"name": "validation", "num_bytes": 5161781, "num_examples": 2985}, {"name": "test", "num_bytes": 12030085, "num_examples": 6963}], "download_size": 22547457, "dataset_size": 57162500}, {"config_name": "cosmos_qa_context_description_question_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29196303, "num_examples": 25262}, {"name": "validation", "num_bytes": 3705275, "num_examples": 2985}, {"name": "test", "num_bytes": 8646080, "num_examples": 6963}], "download_size": 17329708, "dataset_size": 41547658}, {"config_name": "cosmos_qa_context_question_description_answer_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 31990673, "num_examples": 25262}, {"name": "validation", "num_bytes": 4070380, "num_examples": 2985}, {"name": "test", "num_bytes": 9522521, "num_examples": 6963}], "download_size": 18002331, "dataset_size": 45583574}, {"config_name": "cosmos_qa_context_question_description_answer_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37368648, "num_examples": 25262}, {"name": "validation", "num_bytes": 4854326, "num_examples": 2985}, {"name": "test", "num_bytes": 11312896, "num_examples": 6963}], "download_size": 22181690, "dataset_size": 53535870}, {"config_name": "cosmos_qa_context_question_description_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28514229, "num_examples": 25262}, {"name": "validation", "num_bytes": 3624680, "num_examples": 2985}, {"name": "test", "num_bytes": 8458079, "num_examples": 6963}], "download_size": 17310690, "dataset_size": 40596988}, {"config_name": "cosmos_qa_description_context_question_answer_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34668445, "num_examples": 25262}, {"name": "validation", "num_bytes": 4386790, "num_examples": 2985}, {"name": "test", "num_bytes": 10260599, "num_examples": 6963}], "download_size": 18455761, "dataset_size": 49315834}, {"config_name": "cosmos_qa_description_context_question_answer_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 40046420, "num_examples": 25262}, {"name": "validation", "num_bytes": 5170736, "num_examples": 2985}, {"name": "test", "num_bytes": 12050974, "num_examples": 6963}], "download_size": 22574952, "dataset_size": 57268130}, {"config_name": "cosmos_qa_description_context_question_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 30105735, "num_examples": 25262}, {"name": "validation", "num_bytes": 3812735, "num_examples": 2985}, {"name": "test", "num_bytes": 8896748, "num_examples": 6963}], "download_size": 17392729, "dataset_size": 42815218}, {"config_name": "cosmos_qa_no_prompt_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29843403, "num_examples": 25262}, {"name": "validation", "num_bytes": 3816655, "num_examples": 2985}, {"name": "test", "num_bytes": 8930666, "num_examples": 6963}], "download_size": 17856956, "dataset_size": 42590724}, {"config_name": "cosmos_qa_no_prompt_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35221378, "num_examples": 25262}, {"name": "validation", "num_bytes": 4600601, "num_examples": 2985}, {"name": "test", "num_bytes": 10721041, "num_examples": 6963}], "download_size": 21950786, "dataset_size": 50543020}, {"config_name": "cosmos_qa_only_question_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9307051, "num_examples": 25262}, {"name": "validation", "num_bytes": 1265511, "num_examples": 2985}, {"name": "test", "num_bytes": 2916821, "num_examples": 6963}], "download_size": 6171348, "dataset_size": 13489383}, {"config_name": "dbpedia_14_given_a_choice_of_categories_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 719436519, "num_examples": 560000}, {"name": "test", "num_bytes": 89954668, "num_examples": 70000}], "download_size": 231812702, "dataset_size": 809391187}, {"config_name": "dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 409923864, "num_examples": 560000}, {"name": "test", "num_bytes": 51249097, "num_examples": 70000}], "download_size": 38870531, "dataset_size": 461172961}, {"config_name": "dbpedia_14_given_list_what_category_does_the_paragraph_belong_to", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 698518491, "num_examples": 560000}, {"name": "test", "num_bytes": 87332355, "num_examples": 70000}], "download_size": 219363263, "dataset_size": 785850846}, {"config_name": "dbpedia_14_pick_one_category_for_the_following_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 717756507, "num_examples": 560000}, {"name": "test", "num_bytes": 89744668, "num_examples": 70000}], "download_size": 230680647, "dataset_size": 807501175}, {"config_name": "dream_answer_to_dialogue", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9167493, "num_examples": 6116}, {"name": "validation", "num_bytes": 3008442, "num_examples": 2040}, {"name": "test", "num_bytes": 3008242, "num_examples": 2041}], "download_size": 3571012, "dataset_size": 15184177}, {"config_name": "dream_baseline", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10027147, "num_examples": 6116}, {"name": "validation", "num_bytes": 3280100, "num_examples": 2040}, {"name": "test", "num_bytes": 3289529, "num_examples": 2041}], "download_size": 6311330, "dataset_size": 16596776}, {"config_name": "dream_generate_first_utterance", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7880062, "num_examples": 6116}, {"name": "validation", "num_bytes": 2580535, "num_examples": 2040}, {"name": "test", "num_bytes": 2584957, "num_examples": 2041}], "download_size": 2989013, "dataset_size": 13045554}, {"config_name": "dream_generate_last_utterance", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8125880, "num_examples": 6116}, {"name": "validation", "num_bytes": 2659720, "num_examples": 2040}, {"name": "test", "num_bytes": 2660169, "num_examples": 2041}], "download_size": 3018904, "dataset_size": 13445769}, {"config_name": "dream_read_the_following_conversation_and_answer_the_question", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10461383, "num_examples": 6116}, {"name": "validation", "num_bytes": 3424940, "num_examples": 2040}, {"name": "test", "num_bytes": 3434440, "num_examples": 2041}], "download_size": 6276363, "dataset_size": 17320763}, {"config_name": "duorc_ParaphraseRC_answer_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 307403792, "num_examples": 69524}, {"name": "validation", "num_bytes": 68663700, "num_examples": 15591}, {"name": "test", "num_bytes": 70505620, "num_examples": 15857}], "download_size": 99055163, "dataset_size": 446573112}, {"config_name": "duorc_ParaphraseRC_build_story_around_qa", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 249444969, "num_examples": 58752}, {"name": "validation", "num_bytes": 55541425, "num_examples": 13111}, {"name": "test", "num_bytes": 57135051, "num_examples": 13449}], "download_size": 71643871, "dataset_size": 362121445}, {"config_name": "duorc_ParaphraseRC_decide_worth_it", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 314845789, "num_examples": 69524}, {"name": "validation", "num_bytes": 70331271, "num_examples": 15591}, {"name": "test", "num_bytes": 72204115, "num_examples": 15857}], "download_size": 100794562, "dataset_size": 457381175}, {"config_name": "duorc_ParaphraseRC_extract_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 308636910, "num_examples": 69524}, {"name": "validation", "num_bytes": 68940369, "num_examples": 15591}, {"name": "test", "num_bytes": 70789828, "num_examples": 15857}], "download_size": 99839398, "dataset_size": 448367107}, {"config_name": "duorc_ParaphraseRC_generate_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 289153644, "num_examples": 69524}, {"name": "validation", "num_bytes": 64571759, "num_examples": 15591}, {"name": "test", "num_bytes": 66337503, "num_examples": 15857}], "download_size": 74472346, "dataset_size": 420062906}, {"config_name": "duorc_ParaphraseRC_generate_question_by_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 254613731, "num_examples": 58752}, {"name": "validation", "num_bytes": 56695982, "num_examples": 13111}, {"name": "test", "num_bytes": 58319337, "num_examples": 13449}], "download_size": 85228208, "dataset_size": 369629050}, {"config_name": "duorc_ParaphraseRC_movie_director", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 313618847, "num_examples": 69524}, {"name": "validation", "num_bytes": 70059761, "num_examples": 15591}, {"name": "test", "num_bytes": 71923481, "num_examples": 15857}], "download_size": 97051040, "dataset_size": 455602089}, {"config_name": "duorc_ParaphraseRC_question_answering", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 303335003, "num_examples": 69524}, {"name": "validation", "num_bytes": 67754823, "num_examples": 15591}, {"name": "test", "num_bytes": 69577638, "num_examples": 15857}], "download_size": 97347736, "dataset_size": 440667464}, {"config_name": "duorc_ParaphraseRC_title_generation", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 286267262, "num_examples": 69524}, {"name": "validation", "num_bytes": 63924046, "num_examples": 15591}, {"name": "test", "num_bytes": 65673450, "num_examples": 15857}], "download_size": 69655194, "dataset_size": 415864758}, {"config_name": "duorc_SelfRC_answer_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 263617804, "num_examples": 60721}, {"name": "validation", "num_bytes": 56257282, "num_examples": 12961}, {"name": "test", "num_bytes": 54002992, "num_examples": 12559}], "download_size": 81555005, "dataset_size": 373878078}, {"config_name": "duorc_SelfRC_build_story_around_qa", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 245194648, "num_examples": 60094}, {"name": "validation", "num_bytes": 52411094, "num_examples": 12845}, {"name": "test", "num_bytes": 50178336, "num_examples": 12415}], "download_size": 64377895, "dataset_size": 347784078}, {"config_name": "duorc_SelfRC_decide_worth_it", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 270001960, "num_examples": 60721}, {"name": "validation", "num_bytes": 57619748, "num_examples": 12961}, {"name": "test", "num_bytes": 55323474, "num_examples": 12559}], "download_size": 83633588, "dataset_size": 382945182}, {"config_name": "duorc_SelfRC_extract_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 264596258, "num_examples": 60721}, {"name": "validation", "num_bytes": 56466014, "num_examples": 12961}, {"name": "test", "num_bytes": 54205435, "num_examples": 12559}], "download_size": 81309597, "dataset_size": 375267707}, {"config_name": "duorc_SelfRC_generate_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 247615958, "num_examples": 60721}, {"name": "validation", "num_bytes": 52851295, "num_examples": 12961}, {"name": "test", "num_bytes": 50703125, "num_examples": 12559}], "download_size": 60820233, "dataset_size": 351170378}, {"config_name": "duorc_SelfRC_generate_question_by_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 250482850, "num_examples": 60094}, {"name": "validation", "num_bytes": 53541352, "num_examples": 12845}, {"name": "test", "num_bytes": 51271129, "num_examples": 12415}], "download_size": 76508439, "dataset_size": 355295331}, {"config_name": "duorc_SelfRC_movie_director", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 268967019, "num_examples": 60721}, {"name": "validation", "num_bytes": 57398891, "num_examples": 12961}, {"name": "test", "num_bytes": 55109435, "num_examples": 12559}], "download_size": 80004661, "dataset_size": 381475345}, {"config_name": "duorc_SelfRC_question_answering", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 259527119, "num_examples": 60721}, {"name": "validation", "num_bytes": 55382968, "num_examples": 12961}, {"name": "test", "num_bytes": 53157679, "num_examples": 12559}], "download_size": 79992380, "dataset_size": 368067766}, {"config_name": "duorc_SelfRC_title_generation", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 245154844, "num_examples": 60721}, {"name": "validation", "num_bytes": 52322017, "num_examples": 12961}, {"name": "test", "num_bytes": 50193684, "num_examples": 12559}], "download_size": 57228086, "dataset_size": 347670545}, {"config_name": "gigaword_TLDR", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2050904486, "num_examples": 3803957}, {"name": "validation", "num_bytes": 102511962, "num_examples": 189651}, {"name": "test", "num_bytes": 1022016, "num_examples": 1951}], "download_size": 1034760505, "dataset_size": 2154438464}, {"config_name": "gigaword_first_sentence_title", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2214474621, "num_examples": 3803957}, {"name": "validation", "num_bytes": 110666955, "num_examples": 189651}, {"name": "test", "num_bytes": 1105909, "num_examples": 1951}], "download_size": 1045083572, "dataset_size": 2326247485}, {"config_name": "gigaword_generate_summary_for_this", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2282945863, "num_examples": 3803957}, {"name": "validation", "num_bytes": 114080673, "num_examples": 189651}, {"name": "test", "num_bytes": 1141027, "num_examples": 1951}], "download_size": 1047958875, "dataset_size": 2398167563}, {"config_name": "gigaword_in_a_nutshell", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2107963841, "num_examples": 3803957}, {"name": "validation", "num_bytes": 105356727, "num_examples": 189651}, {"name": "test", "num_bytes": 1051281, "num_examples": 1951}], "download_size": 1039054230, "dataset_size": 2214371849}, {"config_name": "gigaword_make_a_title", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2187846922, "num_examples": 3803957}, {"name": "validation", "num_bytes": 109339398, "num_examples": 189651}, {"name": "test", "num_bytes": 1092252, "num_examples": 1951}], "download_size": 1041468039, "dataset_size": 2298278572}, {"config_name": "gigaword_reverse_writing", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2005257002, "num_examples": 3803957}, {"name": "validation", "num_bytes": 100236150, "num_examples": 189651}, {"name": "test", "num_bytes": 998604, "num_examples": 1951}], "download_size": 1035911157, "dataset_size": 2106491756}, {"config_name": "gigaword_write_a_title_for_this_sentence", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2256318148, "num_examples": 3803957}, {"name": "validation", "num_bytes": 112753116, "num_examples": 189651}, {"name": "test", "num_bytes": 1127370, "num_examples": 1951}], "download_size": 1047096693, "dataset_size": 2370198634}, {"config_name": "gigaword_write_an_article", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2340005218, "num_examples": 3803957}, {"name": "validation", "num_bytes": 116925438, "num_examples": 189651}, {"name": "test", "num_bytes": 1170292, "num_examples": 1951}], "download_size": 1054197705, "dataset_size": 2458100948}, {"config_name": "gigaword_write_its_sentence", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2313377519, "num_examples": 3803957}, {"name": "validation", "num_bytes": 115597881, "num_examples": 189651}, {"name": "test", "num_bytes": 1156635, "num_examples": 1951}], "download_size": 1050253600, "dataset_size": 2430132035}, {"config_name": "glue_mrpc_equivalent", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2501163, "num_examples": 3668}, {"name": "validation", "num_bytes": 278983, "num_examples": 408}, {"name": "test", "num_bytes": 1172357, "num_examples": 1725}], "download_size": 1559623, "dataset_size": 3952503}, {"config_name": "glue_mrpc_generate_paraphrase", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1412371, "num_examples": 2474}, {"name": "validation", "num_bytes": 159956, "num_examples": 279}, {"name": "test", "num_bytes": 655043, "num_examples": 1147}], "download_size": 1319923, "dataset_size": 2227370}, {"config_name": "glue_mrpc_generate_sentence", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1550915, "num_examples": 2474}, {"name": "validation", "num_bytes": 175580, "num_examples": 279}, {"name": "test", "num_bytes": 719275, "num_examples": 1147}], "download_size": 1331017, "dataset_size": 2445770}, {"config_name": "glue_mrpc_paraphrase", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2468409, "num_examples": 3668}, {"name": "validation", "num_bytes": 275374, "num_examples": 408}, {"name": "test", "num_bytes": 1156805, "num_examples": 1725}], "download_size": 1556570, "dataset_size": 3900588}, {"config_name": "glue_mrpc_replace", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2439065, "num_examples": 3668}, {"name": "validation", "num_bytes": 272110, "num_examples": 408}, {"name": "test", "num_bytes": 1143005, "num_examples": 1725}], "download_size": 1568181, "dataset_size": 3854180}, {"config_name": "glue_mrpc_same_thing", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2255665, "num_examples": 3668}, {"name": "validation", "num_bytes": 251710, "num_examples": 408}, {"name": "test", "num_bytes": 1056755, "num_examples": 1725}], "download_size": 1533352, "dataset_size": 3564130}, {"config_name": "glue_mrpc_want_to_know", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2464741, "num_examples": 3668}, {"name": "validation", "num_bytes": 274966, "num_examples": 408}, {"name": "test", "num_bytes": 1155080, "num_examples": 1725}], "download_size": 1564693, "dataset_size": 3894787}, {"config_name": "glue_qqp_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 138150624, "num_examples": 363846}, {"name": "validation", "num_bytes": 15346609, "num_examples": 40430}, {"name": "test", "num_bytes": 150346271, "num_examples": 390965}], "download_size": 123951530, "dataset_size": 303843504}, {"config_name": "glue_qqp_duplicate", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 143209364, "num_examples": 363846}, {"name": "validation", "num_bytes": 15908817, "num_examples": 40430}, {"name": "test", "num_bytes": 155772241, "num_examples": 390965}], "download_size": 124829152, "dataset_size": 314890422}, {"config_name": "glue_qqp_duplicate_or_not", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 166115206, "num_examples": 363846}, {"name": "validation", "num_bytes": 18454224, "num_examples": 40430}, {"name": "test", "num_bytes": 178133060, "num_examples": 390965}], "download_size": 124310599, "dataset_size": 362702490}, {"config_name": "glue_qqp_meaning", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 153364082, "num_examples": 363846}, {"name": "validation", "num_bytes": 17036964, "num_examples": 40430}, {"name": "test", "num_bytes": 166404110, "num_examples": 390965}], "download_size": 125881194, "dataset_size": 336805156}, {"config_name": "glue_qqp_quora", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 246541628, "num_examples": 363846}, {"name": "validation", "num_bytes": 27390937, "num_examples": 40430}, {"name": "test", "num_bytes": 266806301, "num_examples": 390965}], "download_size": 138338190, "dataset_size": 540738866}, {"config_name": "glue_qqp_same_thing", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 138150624, "num_examples": 363846}, {"name": "validation", "num_bytes": 15346609, "num_examples": 40430}, {"name": "test", "num_bytes": 150346271, "num_examples": 390965}], "download_size": 125586835, "dataset_size": 303843504}, {"config_name": "hellaswag_Appropriate_continuation_Yes_or_No", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36636395, "num_examples": 39905}, {"name": "validation", "num_bytes": 9457712, "num_examples": 10042}, {"name": "test", "num_bytes": 9207968, "num_examples": 10003}], "download_size": 22929700, "dataset_size": 55302075}, {"config_name": "hellaswag_Open_ended_completion", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 53208771, "num_examples": 39905}, {"name": "validation", "num_bytes": 13804081, "num_examples": 10042}, {"name": "test", "num_bytes": 13323189, "num_examples": 10003}], "download_size": 44228748, "dataset_size": 80336041}, {"config_name": "hellaswag_Open_ended_start", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 31586178, "num_examples": 39905}, {"name": "validation", "num_bytes": 8175505, "num_examples": 10042}, {"name": "test", "num_bytes": 7918171, "num_examples": 10003}], "download_size": 23750142, "dataset_size": 47679854}, {"config_name": "hellaswag_Predict_ending_with_hint", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 103772125, "num_examples": 39905}, {"name": "validation", "num_bytes": 26953584, "num_examples": 10042}, {"name": "test", "num_bytes": 26056289, "num_examples": 10003}], "download_size": 79049479, "dataset_size": 156781998}, {"config_name": "hellaswag_Predict_ending_with_hint_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 327006481, "num_examples": 159620}, {"name": "validation", "num_bytes": 84933063, "num_examples": 40168}, {"name": "test", "num_bytes": 82304557, "num_examples": 40012}], "download_size": 132747083, "dataset_size": 494244101}, {"config_name": "hellaswag_Randomized_prompts_template", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 101707929, "num_examples": 39905}, {"name": "validation", "num_bytes": 26424150, "num_examples": 10042}, {"name": "test", "num_bytes": 25517504, "num_examples": 10003}], "download_size": 78615384, "dataset_size": 153649583}, {"config_name": "hellaswag_Randomized_prompts_template_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 318749697, "num_examples": 159620}, {"name": "validation", "num_bytes": 82815327, "num_examples": 40168}, {"name": "test", "num_bytes": 80149417, "num_examples": 40012}], "download_size": 133148565, "dataset_size": 481714441}, {"config_name": "hellaswag_Reversed_appropriate_continuation_Yes_or_No", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 37685857, "num_examples": 39905}, {"name": "validation", "num_bytes": 9718940, "num_examples": 10042}, {"name": "test", "num_bytes": 9484298, "num_examples": 10003}], "download_size": 23013938, "dataset_size": 56889095}, {"config_name": "hellaswag_Topic_of_the_context", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 33608243, "num_examples": 39905}, {"name": "validation", "num_bytes": 8699532, "num_examples": 10042}, {"name": "test", "num_bytes": 8451069, "num_examples": 10003}], "download_size": 22556001, "dataset_size": 50758844}, {"config_name": "hellaswag_Topic_without_the_ending_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22237242, "num_examples": 39905}, {"name": "validation", "num_bytes": 5743894, "num_examples": 10042}, {"name": "test", "num_bytes": 5617224, "num_examples": 10003}], "download_size": 14359159, "dataset_size": 33598360}, {"config_name": "hellaswag_complete_first_then", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 102668715, "num_examples": 39905}, {"name": "validation", "num_bytes": 26660776, "num_examples": 10042}, {"name": "test", "num_bytes": 25754067, "num_examples": 10003}], "download_size": 78228282, "dataset_size": 155083558}, {"config_name": "hellaswag_complete_first_then_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 322592841, "num_examples": 159620}, {"name": "validation", "num_bytes": 83761831, "num_examples": 40168}, {"name": "test", "num_bytes": 81095669, "num_examples": 40012}], "download_size": 132338669, "dataset_size": 487450341}, {"config_name": "hellaswag_how_ends", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 71330813, "num_examples": 39905}, {"name": "validation", "num_bytes": 18491297, "num_examples": 10042}, {"name": "test", "num_bytes": 17929217, "num_examples": 10003}], "download_size": 47966583, "dataset_size": 107751327}, {"config_name": "hellaswag_if_begins_how_continues", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 74842453, "num_examples": 39905}, {"name": "validation", "num_bytes": 19374993, "num_examples": 10042}, {"name": "test", "num_bytes": 18809481, "num_examples": 10003}], "download_size": 48306373, "dataset_size": 113026927}, {"config_name": "hellaswag_if_begins_how_continues_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 293643445, "num_examples": 159620}, {"name": "validation", "num_bytes": 76058945, "num_examples": 40168}, {"name": "test", "num_bytes": 73802494, "num_examples": 40012}], "download_size": 94001678, "dataset_size": 443504884}, {"config_name": "imdb_Movie_Expressed_Sentiment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 62032706, "num_examples": 25000}, {"name": "test", "num_bytes": 61156510, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 124406157, "num_examples": 50000}], "download_size": 128577979, "dataset_size": 247595373}, {"config_name": "imdb_Movie_Expressed_Sentiment_2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 62632706, "num_examples": 25000}, {"name": "test", "num_bytes": 61756510, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 125606157, "num_examples": 50000}], "download_size": 128508345, "dataset_size": 249995373}, {"config_name": "imdb_Negation_template_for_positive_and_negative", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 61932706, "num_examples": 25000}, {"name": "test", "num_bytes": 61056510, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 123606157, "num_examples": 50000}], "download_size": 128322307, "dataset_size": 246595373}, {"config_name": "imdb_Reviewer_Enjoyment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 63445206, "num_examples": 25000}, {"name": "test", "num_bytes": 62569010, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 126656157, "num_examples": 50000}], "download_size": 128649514, "dataset_size": 252670373}, {"config_name": "imdb_Reviewer_Enjoyment_Yes_No", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 61545206, "num_examples": 25000}, {"name": "test", "num_bytes": 60669010, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 123456157, "num_examples": 50000}], "download_size": 128440487, "dataset_size": 245670373}, {"config_name": "imdb_Reviewer_Expressed_Sentiment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 63182706, "num_examples": 25000}, {"name": "test", "num_bytes": 62306510, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 126706157, "num_examples": 50000}], "download_size": 128979366, "dataset_size": 252195373}, {"config_name": "imdb_Reviewer_Opinion_bad_good_choices", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 62220206, "num_examples": 25000}, {"name": "test", "num_bytes": 61344010, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 124806157, "num_examples": 50000}], "download_size": 128595877, "dataset_size": 248370373}, {"config_name": "imdb_Reviewer_Sentiment_Feeling", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 62257706, "num_examples": 25000}, {"name": "test", "num_bytes": 61381510, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 124856157, "num_examples": 50000}], "download_size": 128516819, "dataset_size": 248495373}, {"config_name": "imdb_Sentiment_with_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 62082706, "num_examples": 25000}, {"name": "test", "num_bytes": 61206510, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 124506157, "num_examples": 50000}], "download_size": 128468742, "dataset_size": 247795373}, {"config_name": "imdb_Text_Expressed_Sentiment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 62357706, "num_examples": 25000}, {"name": "test", "num_bytes": 61481510, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 125056157, "num_examples": 50000}], "download_size": 128646772, "dataset_size": 248895373}, {"config_name": "imdb_Writer_Expressed_Sentiment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 62657706, "num_examples": 25000}, {"name": "test", "num_bytes": 61781510, "num_examples": 25000}, {"name": "unsupervised", "num_bytes": 125656157, "num_examples": 50000}], "download_size": 128736120, "dataset_size": 250095373}, {"config_name": "kilt_tasks_hotpotqa_combining_facts", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28006020, "num_examples": 88869}, {"name": "validation", "num_bytes": 1631261, "num_examples": 5600}], "download_size": 16337892, "dataset_size": 29637281}, {"config_name": "kilt_tasks_hotpotqa_complex_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 38936907, "num_examples": 88869}, {"name": "validation", "num_bytes": 2320061, "num_examples": 5600}], "download_size": 17061376, "dataset_size": 41256968}, {"config_name": "kilt_tasks_hotpotqa_final_exam", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28094889, "num_examples": 88869}, {"name": "validation", "num_bytes": 1636861, "num_examples": 5600}], "download_size": 16329789, "dataset_size": 29731750}, {"config_name": "kilt_tasks_hotpotqa_formulate", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 30938697, "num_examples": 88869}, {"name": "validation", "num_bytes": 1816061, "num_examples": 5600}], "download_size": 16488556, "dataset_size": 32754758}, {"config_name": "kilt_tasks_hotpotqa_straighforward_qa", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23118225, "num_examples": 88869}, {"name": "validation", "num_bytes": 1323261, "num_examples": 5600}], "download_size": 15949825, "dataset_size": 24441486}, {"config_name": "multi_news_distill", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 526482331, "num_examples": 44972}, {"name": "validation", "num_bytes": 64826209, "num_examples": 5622}, {"name": "test", "num_bytes": 65237355, "num_examples": 5622}], "download_size": 357690260, "dataset_size": 656545895}, {"config_name": "multi_news_expand_reverse_task_", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 267362109, "num_examples": 44972}, {"name": "validation", "num_bytes": 33300262, "num_examples": 5622}, {"name": "test", "num_bytes": 33227745, "num_examples": 5622}], "download_size": 189087861, "dataset_size": 333890116}, {"config_name": "multi_news_summarize", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 525663317, "num_examples": 44972}, {"name": "validation", "num_bytes": 64723513, "num_examples": 5622}, {"name": "test", "num_bytes": 65134796, "num_examples": 5622}], "download_size": 357146250, "dataset_size": 655521626}, {"config_name": "multi_news_summary_scenario", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 527516687, "num_examples": 44972}, {"name": "validation", "num_bytes": 64955515, "num_examples": 5622}, {"name": "test", "num_bytes": 65366661, "num_examples": 5622}], "download_size": 357925759, "dataset_size": 657838863}, {"config_name": "multi_news_synthesize", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 525154825, "num_examples": 44972}, {"name": "validation", "num_bytes": 64662427, "num_examples": 5622}, {"name": "test", "num_bytes": 65072614, "num_examples": 5622}], "download_size": 357282630, "dataset_size": 654889866}, {"config_name": "multi_news_what_are_the_key_points", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 526122555, "num_examples": 44972}, {"name": "validation", "num_bytes": 64781233, "num_examples": 5622}, {"name": "test", "num_bytes": 65192379, "num_examples": 5622}], "download_size": 357472016, "dataset_size": 656096167}, {"config_name": "openbookqa_main_choices", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2153221, "num_examples": 4957}, {"name": "validation", "num_bytes": 236646, "num_examples": 500}, {"name": "test", "num_bytes": 224988, "num_examples": 500}], "download_size": 1525965, "dataset_size": 2614855}, {"config_name": "openbookqa_main_choose_an_answer_with_options", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2351501, "num_examples": 4957}, {"name": "validation", "num_bytes": 256646, "num_examples": 500}, {"name": "test", "num_bytes": 244988, "num_examples": 500}], "download_size": 1540999, "dataset_size": 2853135}, {"config_name": "openbookqa_main_only_options", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2044167, "num_examples": 4957}, {"name": "validation", "num_bytes": 225646, "num_examples": 500}, {"name": "test", "num_bytes": 213988, "num_examples": 500}], "download_size": 1510736, "dataset_size": 2483801}, {"config_name": "openbookqa_main_pick_answer_with_options", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2391157, "num_examples": 4957}, {"name": "validation", "num_bytes": 260646, "num_examples": 500}, {"name": "test", "num_bytes": 248988, "num_examples": 500}], "download_size": 1543503, "dataset_size": 2900791}, {"config_name": "openbookqa_main_pick_using_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2231304, "num_examples": 4957}, {"name": "validation", "num_bytes": 235175, "num_examples": 500}, {"name": "test", "num_bytes": 228627, "num_examples": 500}], "download_size": 1091533, "dataset_size": 2695106}, {"config_name": "openbookqa_main_which_correct", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2311845, "num_examples": 4957}, {"name": "validation", "num_bytes": 252646, "num_examples": 500}, {"name": "test", "num_bytes": 240988, "num_examples": 500}], "download_size": 1539423, "dataset_size": 2805479}, {"config_name": "openbookqa_main_which_correct_inverse", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2311845, "num_examples": 4957}, {"name": "validation", "num_bytes": 252646, "num_examples": 500}, {"name": "test", "num_bytes": 240988, "num_examples": 500}], "download_size": 1557407, "dataset_size": 2805479}, {"config_name": "paws_labeled_final_Concatenation", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35504031, "num_examples": 49401}, {"name": "validation", "num_bytes": 5747157, "num_examples": 8000}, {"name": "test", "num_bytes": 5751626, "num_examples": 8000}], "download_size": 16144636, "dataset_size": 47002814}, {"config_name": "paws_labeled_final_Concatenation_no_label", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34170204, "num_examples": 49401}, {"name": "validation", "num_bytes": 5531157, "num_examples": 8000}, {"name": "test", "num_bytes": 5535626, "num_examples": 8000}], "download_size": 16107402, "dataset_size": 45236987}, {"config_name": "paws_labeled_final_Meaning", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36887259, "num_examples": 49401}, {"name": "validation", "num_bytes": 5971157, "num_examples": 8000}, {"name": "test", "num_bytes": 5975626, "num_examples": 8000}], "download_size": 16398207, "dataset_size": 48834042}, {"config_name": "paws_labeled_final_Meaning_no_label", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35553432, "num_examples": 49401}, {"name": "validation", "num_bytes": 5755157, "num_examples": 8000}, {"name": "test", "num_bytes": 5759626, "num_examples": 8000}], "download_size": 16275164, "dataset_size": 47068215}, {"config_name": "paws_labeled_final_PAWS_ANLI_GPT3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29160017, "num_examples": 49401}, {"name": "validation", "num_bytes": 4719767, "num_examples": 8000}, {"name": "test", "num_bytes": 4724266, "num_examples": 8000}], "download_size": 15896734, "dataset_size": 38604050}, {"config_name": "paws_labeled_final_PAWS_ANLI_GPT3_no_label", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 28587891, "num_examples": 49401}, {"name": "validation", "num_bytes": 4627157, "num_examples": 8000}, {"name": "test", "num_bytes": 4631626, "num_examples": 8000}], "download_size": 15859385, "dataset_size": 37846674}, {"config_name": "paws_labeled_final_Rewrite", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36195645, "num_examples": 49401}, {"name": "validation", "num_bytes": 5859157, "num_examples": 8000}, {"name": "test", "num_bytes": 5863626, "num_examples": 8000}], "download_size": 16218433, "dataset_size": 47918428}, {"config_name": "paws_labeled_final_Rewrite_no_label", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34861818, "num_examples": 49401}, {"name": "validation", "num_bytes": 5643157, "num_examples": 8000}, {"name": "test", "num_bytes": 5647626, "num_examples": 8000}], "download_size": 16128581, "dataset_size": 46152601}, {"config_name": "paws_labeled_final_context_question", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32095286, "num_examples": 49401}, {"name": "validation", "num_bytes": 5195157, "num_examples": 8000}, {"name": "test", "num_bytes": 5199626, "num_examples": 8000}], "download_size": 16025554, "dataset_size": 42490069}, {"config_name": "paws_labeled_final_context_question_no_label", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 30761459, "num_examples": 49401}, {"name": "validation", "num_bytes": 4979157, "num_examples": 8000}, {"name": "test", "num_bytes": 4983626, "num_examples": 8000}], "download_size": 15864193, "dataset_size": 40724242}, {"config_name": "paws_labeled_final_paraphrase_task", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11968844, "num_examples": 21829}, {"name": "validation", "num_bytes": 1934151, "num_examples": 3539}, {"name": "test", "num_bytes": 1926799, "num_examples": 3536}], "download_size": 9170780, "dataset_size": 15829794}, {"config_name": "paws_labeled_final_task_description_no_label", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34417209, "num_examples": 49401}, {"name": "validation", "num_bytes": 5571157, "num_examples": 8000}, {"name": "test", "num_bytes": 5575626, "num_examples": 8000}], "download_size": 16154086, "dataset_size": 45563992}, {"config_name": "piqa_Correct_the_solution", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11641830, "num_examples": 16113}, {"name": "validation", "num_bytes": 1320985, "num_examples": 1838}, {"name": "test", "num_bytes": 1592862, "num_examples": 3084}], "download_size": 5999625, "dataset_size": 14555677}, {"config_name": "piqa_Correct_the_solution_if_false_from_sol_1", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12887919, "num_examples": 16113}, {"name": "validation", "num_bytes": 1464087, "num_examples": 1838}, {"name": "test", "num_bytes": 2420392, "num_examples": 3084}], "download_size": 7007961, "dataset_size": 16772398}, {"config_name": "piqa_Correct_the_solution_if_false_from_sol_2", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13211867, "num_examples": 16113}, {"name": "validation", "num_bytes": 1501638, "num_examples": 1838}, {"name": "test", "num_bytes": 2477792, "num_examples": 3084}], "download_size": 6997845, "dataset_size": 17191297}, {"config_name": "piqa_Does_this_solution_make_sense_sol1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6636301, "num_examples": 16113}, {"name": "validation", "num_bytes": 753973, "num_examples": 1838}, {"name": "test", "num_bytes": 1247802, "num_examples": 3084}], "download_size": 3521901, "dataset_size": 8638076}, {"config_name": "piqa_Does_this_solution_make_sense_sol2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5965494, "num_examples": 16113}, {"name": "validation", "num_bytes": 678150, "num_examples": 1838}, {"name": "test", "num_bytes": 1117926, "num_examples": 3084}], "download_size": 3509157, "dataset_size": 7761570}, {"config_name": "piqa_choose_the_most_appropriate_solution", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13494825, "num_examples": 16113}, {"name": "validation", "num_bytes": 1532355, "num_examples": 1838}, {"name": "test", "num_bytes": 2536713, "num_examples": 3084}], "download_size": 5413070, "dataset_size": 17563893}, {"config_name": "piqa_finish_sentence_with_correct_choice", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16905704, "num_examples": 16113}, {"name": "validation", "num_bytes": 1912341, "num_examples": 1838}, {"name": "test", "num_bytes": 3140101, "num_examples": 3084}], "download_size": 9742835, "dataset_size": 21958146}, {"config_name": "piqa_no_prompt_needed", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4712823, "num_examples": 16113}, {"name": "validation", "num_bytes": 534576, "num_examples": 1838}, {"name": "test", "num_bytes": 876526, "num_examples": 3084}], "download_size": 3629823, "dataset_size": 6123925}, {"config_name": "piqa_pick_correct_choice_index", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11722395, "num_examples": 16113}, {"name": "validation", "num_bytes": 1330175, "num_examples": 1838}, {"name": "test", "num_bytes": 2197473, "num_examples": 3084}], "download_size": 5342526, "dataset_size": 15250043}, {"config_name": "piqa_pick_correct_choice_with_choice_given_before_goal", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18033614, "num_examples": 16113}, {"name": "validation", "num_bytes": 2041001, "num_examples": 1838}, {"name": "test", "num_bytes": 3355981, "num_examples": 3084}], "download_size": 9921311, "dataset_size": 23430596}, {"config_name": "piqa_what_is_the_correct_ending", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16212845, "num_examples": 16113}, {"name": "validation", "num_bytes": 1833307, "num_examples": 1838}, {"name": "test", "num_bytes": 3007489, "num_examples": 3084}], "download_size": 9698311, "dataset_size": 21053641}, {"config_name": "qasc_is_correct_1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3401103, "num_examples": 8134}, {"name": "validation", "num_bytes": 386132, "num_examples": 926}, {"name": "test", "num_bytes": 292623, "num_examples": 920}], "download_size": 1007200, "dataset_size": 4079858}, {"config_name": "qasc_is_correct_2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3224126, "num_examples": 8134}, {"name": "validation", "num_bytes": 366377, "num_examples": 926}, {"name": "test", "num_bytes": 273894, "num_examples": 920}], "download_size": 971146, "dataset_size": 3864397}, {"config_name": "qasc_qa_with_combined_facts_1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5454180, "num_examples": 8134}, {"name": "validation", "num_bytes": 634966, "num_examples": 926}, {"name": "test", "num_bytes": 504845, "num_examples": 920}], "download_size": 2361874, "dataset_size": 6593991}, {"config_name": "qasc_qa_with_separated_facts_1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6720877, "num_examples": 8134}, {"name": "validation", "num_bytes": 775778, "num_examples": 926}, {"name": "test", "num_bytes": 552734, "num_examples": 920}], "download_size": 2660711, "dataset_size": 8049389}, {"config_name": "qasc_qa_with_separated_facts_2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7495374, "num_examples": 8134}, {"name": "validation", "num_bytes": 863300, "num_examples": 926}, {"name": "test", "num_bytes": 639038, "num_examples": 920}], "download_size": 2861838, "dataset_size": 8997712}, {"config_name": "qasc_qa_with_separated_facts_3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4698908, "num_examples": 8134}, {"name": "validation", "num_bytes": 533946, "num_examples": 926}, {"name": "test", "num_bytes": 321095, "num_examples": 920}], "download_size": 1676862, "dataset_size": 5553949}, {"config_name": "qasc_qa_with_separated_facts_4", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7652886, "num_examples": 8134}, {"name": "validation", "num_bytes": 882976, "num_examples": 926}, {"name": "test", "num_bytes": 655598, "num_examples": 920}], "download_size": 2758819, "dataset_size": 9191460}, {"config_name": "qasc_qa_with_separated_facts_5", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6924317, "num_examples": 8134}, {"name": "validation", "num_bytes": 788056, "num_examples": 926}, {"name": "test", "num_bytes": 563751, "num_examples": 920}], "download_size": 1797726, "dataset_size": 8276124}, {"config_name": "quail_context_description_question_answer_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43125519, "num_examples": 10246}, {"name": "validation", "num_bytes": 9171413, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2357827, "num_examples": 556}], "download_size": 11361949, "dataset_size": 54654759}, {"config_name": "quail_context_description_question_answer_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 44439949, "num_examples": 10246}, {"name": "validation", "num_bytes": 9451133, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2421642, "num_examples": 556}], "download_size": 12285007, "dataset_size": 56312724}, {"config_name": "quail_context_description_question_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 41312532, "num_examples": 10246}, {"name": "validation", "num_bytes": 8789051, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2257033, "num_examples": 556}], "download_size": 10325100, "dataset_size": 52358616}, {"config_name": "quail_context_question_answer_description_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 42080427, "num_examples": 10246}, {"name": "validation", "num_bytes": 8950685, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2301115, "num_examples": 556}], "download_size": 10880551, "dataset_size": 53332227}, {"config_name": "quail_context_question_answer_description_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43456333, "num_examples": 10246}, {"name": "validation", "num_bytes": 9243389, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2368266, "num_examples": 556}], "download_size": 12002210, "dataset_size": 55067988}, {"config_name": "quail_context_question_description_answer_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 42070181, "num_examples": 10246}, {"name": "validation", "num_bytes": 8948521, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2300559, "num_examples": 556}], "download_size": 10990498, "dataset_size": 53319261}, {"config_name": "quail_context_question_description_answer_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43384611, "num_examples": 10246}, {"name": "validation", "num_bytes": 9228241, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2364374, "num_examples": 556}], "download_size": 11855007, "dataset_size": 54977226}, {"config_name": "quail_context_question_description_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 41220318, "num_examples": 10246}, {"name": "validation", "num_bytes": 8769575, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2252029, "num_examples": 556}], "download_size": 9797404, "dataset_size": 52241922}, {"config_name": "quail_description_context_question_answer_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 43146011, "num_examples": 10246}, {"name": "validation", "num_bytes": 9175741, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2358939, "num_examples": 556}], "download_size": 11386473, "dataset_size": 54680691}, {"config_name": "quail_description_context_question_answer_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 44460441, "num_examples": 10246}, {"name": "validation", "num_bytes": 9455461, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2422754, "num_examples": 556}], "download_size": 12397346, "dataset_size": 56338656}, {"config_name": "quail_description_context_question_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 41681388, "num_examples": 10246}, {"name": "validation", "num_bytes": 8866955, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2277049, "num_examples": 556}], "download_size": 10025138, "dataset_size": 52825392}, {"config_name": "quail_no_prompt_id", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 41168533, "num_examples": 10246}, {"name": "validation", "num_bytes": 8758089, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2251631, "num_examples": 556}], "download_size": 10997708, "dataset_size": 52178253}, {"config_name": "quail_no_prompt_text", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 42482963, "num_examples": 10246}, {"name": "validation", "num_bytes": 9037809, "num_examples": 2164}, {"name": "challenge", "num_bytes": 2315446, "num_examples": 556}], "download_size": 11939913, "dataset_size": 53836218}, {"config_name": "quarel_choose_between", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1121848, "num_examples": 1941}, {"name": "validation", "num_bytes": 162463, "num_examples": 278}, {"name": "test", "num_bytes": 322405, "num_examples": 552}], "download_size": 744152, "dataset_size": 1606716}, {"config_name": "quarel_do_not_use", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1331476, "num_examples": 1941}, {"name": "validation", "num_bytes": 192487, "num_examples": 278}, {"name": "test", "num_bytes": 382021, "num_examples": 552}], "download_size": 762421, "dataset_size": 1905984}, {"config_name": "quarel_heres_a_story", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1308176, "num_examples": 1941}, {"name": "validation", "num_bytes": 189143, "num_examples": 278}, {"name": "test", "num_bytes": 375385, "num_examples": 552}], "download_size": 755827, "dataset_size": 1872704}, {"config_name": "quarel_logic_test", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1226662, "num_examples": 1941}, {"name": "validation", "num_bytes": 177475, "num_examples": 278}, {"name": "test", "num_bytes": 352213, "num_examples": 552}], "download_size": 750383, "dataset_size": 1756350}, {"config_name": "quarel_testing_students", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1380001, "num_examples": 1941}, {"name": "validation", "num_bytes": 199429, "num_examples": 278}, {"name": "test", "num_bytes": 395809, "num_examples": 552}], "download_size": 764977, "dataset_size": 1975239}, {"config_name": "quartz_answer_question_based_on", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1684739, "num_examples": 2696}, {"name": "validation", "num_bytes": 247716, "num_examples": 384}, {"name": "test", "num_bytes": 493561, "num_examples": 784}], "download_size": 831927, "dataset_size": 2426016}, {"config_name": "quartz_answer_question_below", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1576899, "num_examples": 2696}, {"name": "validation", "num_bytes": 232356, "num_examples": 384}, {"name": "test", "num_bytes": 462201, "num_examples": 784}], "download_size": 816299, "dataset_size": 2271456}, {"config_name": "quartz_given_the_fact_answer_the_q", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1568811, "num_examples": 2696}, {"name": "validation", "num_bytes": 231204, "num_examples": 384}, {"name": "test", "num_bytes": 459849, "num_examples": 784}], "download_size": 820060, "dataset_size": 2259864}, {"config_name": "quartz_having_read_above_passage", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1971956, "num_examples": 2696}, {"name": "validation", "num_bytes": 289568, "num_examples": 384}, {"name": "test", "num_bytes": 576980, "num_examples": 784}], "download_size": 899987, "dataset_size": 2838504}, {"config_name": "quartz_paragraph_question_plain_concat", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1350435, "num_examples": 2696}, {"name": "validation", "num_bytes": 200100, "num_examples": 384}, {"name": "test", "num_bytes": 396345, "num_examples": 784}], "download_size": 819662, "dataset_size": 1946880}, {"config_name": "quartz_read_passage_below_choose", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1939604, "num_examples": 2696}, {"name": "validation", "num_bytes": 284960, "num_examples": 384}, {"name": "test", "num_bytes": 567572, "num_examples": 784}], "download_size": 900803, "dataset_size": 2792136}, {"config_name": "quartz_use_info_from_paragraph_question", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1752139, "num_examples": 2696}, {"name": "validation", "num_bytes": 257316, "num_examples": 384}, {"name": "test", "num_bytes": 513161, "num_examples": 784}], "download_size": 848383, "dataset_size": 2522616}, {"config_name": "quartz_use_info_from_question_paragraph", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1752139, "num_examples": 2696}, {"name": "validation", "num_bytes": 257316, "num_examples": 384}, {"name": "test", "num_bytes": 513161, "num_examples": 784}], "download_size": 839102, "dataset_size": 2522616}, {"config_name": "quoref_Answer_Friend_Question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 77399413, "num_examples": 19399}, {"name": "validation", "num_bytes": 9525595, "num_examples": 2418}], "download_size": 21172797, "dataset_size": 86925008}, {"config_name": "quoref_Answer_Question_Given_Context", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 75906482, "num_examples": 19399}, {"name": "validation", "num_bytes": 9339515, "num_examples": 2418}], "download_size": 21085034, "dataset_size": 85245997}, {"config_name": "quoref_Answer_Test", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 77478073, "num_examples": 19399}, {"name": "validation", "num_bytes": 9535373, "num_examples": 2418}], "download_size": 20833370, "dataset_size": 87013446}, {"config_name": "quoref_Context_Contains_Answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 76410209, "num_examples": 19399}, {"name": "validation", "num_bytes": 9402213, "num_examples": 2418}], "download_size": 20984076, "dataset_size": 85812422}, {"config_name": "quoref_Find_Answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 76972842, "num_examples": 19399}, {"name": "validation", "num_bytes": 9472336, "num_examples": 2418}], "download_size": 21102482, "dataset_size": 86445178}, {"config_name": "quoref_Found_Context_Online", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 76216636, "num_examples": 19399}, {"name": "validation", "num_bytes": 9378034, "num_examples": 2418}], "download_size": 21073714, "dataset_size": 85594670}, {"config_name": "quoref_Given_Context_Answer_Question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 75847706, "num_examples": 19399}, {"name": "validation", "num_bytes": 9331924, "num_examples": 2418}], "download_size": 20955369, "dataset_size": 85179630}, {"config_name": "quoref_Guess_Answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 76701159, "num_examples": 19399}, {"name": "validation", "num_bytes": 9438300, "num_examples": 2418}], "download_size": 20961433, "dataset_size": 86139459}, {"config_name": "quoref_Guess_Title_For_Context", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 73151029, "num_examples": 19399}, {"name": "validation", "num_bytes": 9007516, "num_examples": 2418}], "download_size": 15926200, "dataset_size": 82158545}, {"config_name": "quoref_Read_And_Extract_", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 76216632, "num_examples": 19399}, {"name": "validation", "num_bytes": 9378203, "num_examples": 2418}], "download_size": 21186451, "dataset_size": 85594835}, {"config_name": "quoref_What_Is_The_Answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 76274484, "num_examples": 19399}, {"name": "validation", "num_bytes": 9385073, "num_examples": 2418}], "download_size": 20988976, "dataset_size": 85659557}, {"config_name": "race_high_Is_this_the_right_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 224067250, "num_examples": 62445}, {"name": "validation", "num_bytes": 12288423, "num_examples": 3451}, {"name": "test", "num_bytes": 12402597, "num_examples": 3498}], "download_size": 80907333, "dataset_size": 248758270}, {"config_name": "race_high_Read_the_article_and_answer_the_question_no_option_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 234697713, "num_examples": 62445}, {"name": "validation", "num_bytes": 12871866, "num_examples": 3451}, {"name": "test", "num_bytes": 13001506, "num_examples": 3498}], "download_size": 88903583, "dataset_size": 260571085}, {"config_name": "race_high_Select_the_best_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 241414491, "num_examples": 62445}, {"name": "validation", "num_bytes": 13240279, "num_examples": 3451}, {"name": "test", "num_bytes": 13378074, "num_examples": 3498}], "download_size": 88927188, "dataset_size": 268032844}, {"config_name": "race_high_Select_the_best_answer_generate_span_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 253585983, "num_examples": 62445}, {"name": "validation", "num_bytes": 13907799, "num_examples": 3451}, {"name": "test", "num_bytes": 14065912, "num_examples": 3498}], "download_size": 98442058, "dataset_size": 281559694}, {"config_name": "race_high_Select_the_best_answer_no_instructions_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 233109306, "num_examples": 62445}, {"name": "validation", "num_bytes": 12781296, "num_examples": 3451}, {"name": "test", "num_bytes": 12912840, "num_examples": 3498}], "download_size": 88914316, "dataset_size": 258803442}, {"config_name": "race_high_Taking_a_test", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 247096986, "num_examples": 62445}, {"name": "validation", "num_bytes": 13554320, "num_examples": 3451}, {"name": "test", "num_bytes": 13696392, "num_examples": 3498}], "download_size": 88119386, "dataset_size": 274347698}, {"config_name": "race_high_Write_a_multi_choice_question_for_the_following_article", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 241476936, "num_examples": 62445}, {"name": "validation", "num_bytes": 13243730, "num_examples": 3451}, {"name": "test", "num_bytes": 13381572, "num_examples": 3498}], "download_size": 82830693, "dataset_size": 268102238}, {"config_name": "race_high_Write_a_multi_choice_question_options_given_", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 249780949, "num_examples": 62445}, {"name": "validation", "num_bytes": 13701386, "num_examples": 3451}, {"name": "test", "num_bytes": 13849582, "num_examples": 3498}], "download_size": 90227530, "dataset_size": 277331917}, {"config_name": "race_middle_Is_this_the_right_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 59522502, "num_examples": 25421}, {"name": "validation", "num_bytes": 3374951, "num_examples": 1436}, {"name": "test", "num_bytes": 3426265, "num_examples": 1436}], "download_size": 20970954, "dataset_size": 66323718}, {"config_name": "race_middle_Read_the_article_and_answer_the_question_no_option_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 62603262, "num_examples": 25421}, {"name": "validation", "num_bytes": 3549837, "num_examples": 1436}, {"name": "test", "num_bytes": 3602906, "num_examples": 1436}], "download_size": 23083878, "dataset_size": 69756005}, {"config_name": "race_middle_Select_the_best_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 64964719, "num_examples": 25421}, {"name": "validation", "num_bytes": 3683945, "num_examples": 1436}, {"name": "test", "num_bytes": 3736474, "num_examples": 1436}], "download_size": 23238714, "dataset_size": 72385138}, {"config_name": "race_middle_Select_the_best_answer_generate_span_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 68147373, "num_examples": 25421}, {"name": "validation", "num_bytes": 3865611, "num_examples": 1436}, {"name": "test", "num_bytes": 3920536, "num_examples": 1436}], "download_size": 26118277, "dataset_size": 75933520}, {"config_name": "race_middle_Select_the_best_answer_no_instructions_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 61583726, "num_examples": 25421}, {"name": "validation", "num_bytes": 3492957, "num_examples": 1436}, {"name": "test", "num_bytes": 3545486, "num_examples": 1436}], "download_size": 23049312, "dataset_size": 68622169}, {"config_name": "race_middle_Taking_a_test", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 67278030, "num_examples": 25421}, {"name": "validation", "num_bytes": 3814621, "num_examples": 1436}, {"name": "test", "num_bytes": 3867150, "num_examples": 1436}], "download_size": 23415950, "dataset_size": 74959801}, {"config_name": "race_middle_Write_a_multi_choice_question_for_the_following_article", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 64990140, "num_examples": 25421}, {"name": "validation", "num_bytes": 3685381, "num_examples": 1436}, {"name": "test", "num_bytes": 3737910, "num_examples": 1436}], "download_size": 21692641, "dataset_size": 72413431}, {"config_name": "race_middle_Write_a_multi_choice_question_options_given_", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 67842630, "num_examples": 25421}, {"name": "validation", "num_bytes": 3847385, "num_examples": 1436}, {"name": "test", "num_bytes": 3900558, "num_examples": 1436}], "download_size": 24079756, "dataset_size": 75590573}, {"config_name": "ropes_background_new_situation_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24148867, "num_examples": 10924}, {"name": "validation", "num_bytes": 3456292, "num_examples": 1688}], "download_size": 3693602, "dataset_size": 27605159}, {"config_name": "ropes_background_situation_middle", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24028703, "num_examples": 10924}, {"name": "validation", "num_bytes": 3437724, "num_examples": 1688}], "download_size": 3632205, "dataset_size": 27466427}, {"config_name": "ropes_given_background_situation", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23700983, "num_examples": 10924}, {"name": "validation", "num_bytes": 3387084, "num_examples": 1688}], "download_size": 3700990, "dataset_size": 27088067}, {"config_name": "ropes_new_situation_background_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24312727, "num_examples": 10924}, {"name": "validation", "num_bytes": 3481612, "num_examples": 1688}], "download_size": 3650421, "dataset_size": 27794339}, {"config_name": "ropes_plain_background_situation", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22357331, "num_examples": 10924}, {"name": "validation", "num_bytes": 3179460, "num_examples": 1688}], "download_size": 3644216, "dataset_size": 25536791}, {"config_name": "ropes_plain_bottom_hint", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22553963, "num_examples": 10924}, {"name": "validation", "num_bytes": 3209844, "num_examples": 1688}], "download_size": 3577320, "dataset_size": 25763807}, {"config_name": "ropes_plain_no_background", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7337231, "num_examples": 10924}, {"name": "validation", "num_bytes": 1455200, "num_examples": 1688}], "download_size": 1685636, "dataset_size": 8792431}, {"config_name": "ropes_prompt_beginning", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23963159, "num_examples": 10924}, {"name": "validation", "num_bytes": 3427596, "num_examples": 1688}], "download_size": 3664414, "dataset_size": 27390755}, {"config_name": "ropes_prompt_bottom_hint_beginning", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24170715, "num_examples": 10924}, {"name": "validation", "num_bytes": 3459668, "num_examples": 1688}], "download_size": 3722200, "dataset_size": 27630383}, {"config_name": "ropes_prompt_bottom_no_hint", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 8691807, "num_examples": 10924}, {"name": "validation", "num_bytes": 1664512, "num_examples": 1688}], "download_size": 1734881, "dataset_size": 10356319}, {"config_name": "ropes_prompt_mix", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23919463, "num_examples": 10924}, {"name": "validation", "num_bytes": 3420844, "num_examples": 1688}], "download_size": 3642481, "dataset_size": 27340307}, {"config_name": "ropes_read_background_situation", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26606767, "num_examples": 10924}, {"name": "validation", "num_bytes": 3836092, "num_examples": 1688}], "download_size": 3774488, "dataset_size": 30442859}, {"config_name": "rotten_tomatoes_Movie_Expressed_Sentiment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3167752, "num_examples": 8530}, {"name": "validation", "num_bytes": 396113, "num_examples": 1066}, {"name": "test", "num_bytes": 398890, "num_examples": 1066}], "download_size": 1715193, "dataset_size": 3962755}, {"config_name": "rotten_tomatoes_Movie_Expressed_Sentiment_2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3372472, "num_examples": 8530}, {"name": "validation", "num_bytes": 421697, "num_examples": 1066}, {"name": "test", "num_bytes": 424474, "num_examples": 1066}], "download_size": 1718990, "dataset_size": 4218643}, {"config_name": "rotten_tomatoes_Reviewer_Enjoyment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3619842, "num_examples": 8530}, {"name": "validation", "num_bytes": 452611, "num_examples": 1066}, {"name": "test", "num_bytes": 455388, "num_examples": 1066}], "download_size": 1724405, "dataset_size": 4527841}, {"config_name": "rotten_tomatoes_Reviewer_Enjoyment_Yes_No", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3001417, "num_examples": 8530}, {"name": "validation", "num_bytes": 375326, "num_examples": 1066}, {"name": "test", "num_bytes": 378103, "num_examples": 1066}], "download_size": 1712605, "dataset_size": 3754846}, {"config_name": "rotten_tomatoes_Reviewer_Expressed_Sentiment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3560132, "num_examples": 8530}, {"name": "validation", "num_bytes": 445149, "num_examples": 1066}, {"name": "test", "num_bytes": 447926, "num_examples": 1066}], "download_size": 1752369, "dataset_size": 4453207}, {"config_name": "rotten_tomatoes_Reviewer_Opinion_bad_good_choices", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3231727, "num_examples": 8530}, {"name": "validation", "num_bytes": 404108, "num_examples": 1066}, {"name": "test", "num_bytes": 406885, "num_examples": 1066}], "download_size": 1722171, "dataset_size": 4042720}, {"config_name": "rotten_tomatoes_Reviewer_Sentiment_Feeling", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3244522, "num_examples": 8530}, {"name": "validation", "num_bytes": 405707, "num_examples": 1066}, {"name": "test", "num_bytes": 408484, "num_examples": 1066}], "download_size": 1719424, "dataset_size": 4058713}, {"config_name": "rotten_tomatoes_Sentiment_with_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3184812, "num_examples": 8530}, {"name": "validation", "num_bytes": 398245, "num_examples": 1066}, {"name": "test", "num_bytes": 401022, "num_examples": 1066}], "download_size": 1716500, "dataset_size": 3984079}, {"config_name": "rotten_tomatoes_Text_Expressed_Sentiment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3278642, "num_examples": 8530}, {"name": "validation", "num_bytes": 409971, "num_examples": 1066}, {"name": "test", "num_bytes": 412748, "num_examples": 1066}], "download_size": 1721990, "dataset_size": 4101361}, {"config_name": "rotten_tomatoes_Writer_Expressed_Sentiment", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3381002, "num_examples": 8530}, {"name": "validation", "num_bytes": 422763, "num_examples": 1066}, {"name": "test", "num_bytes": 425540, "num_examples": 1066}], "download_size": 1726264, "dataset_size": 4229305}, {"config_name": "samsum_Generate_a_summary_for_this_dialogue", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20847939, "num_examples": 14732}, {"name": "validation", "num_bytes": 1132408, "num_examples": 818}, {"name": "test", "num_bytes": 1178375, "num_examples": 819}], "download_size": 12231176, "dataset_size": 23158722}, {"config_name": "samsum_Given_the_above_dialogue_write_a_summary", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20995259, "num_examples": 14732}, {"name": "validation", "num_bytes": 1140588, "num_examples": 818}, {"name": "test", "num_bytes": 1186565, "num_examples": 819}], "download_size": 12287796, "dataset_size": 23322412}, {"config_name": "samsum_Sum_up_the_following_dialogue", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20582763, "num_examples": 14732}, {"name": "validation", "num_bytes": 1117684, "num_examples": 818}, {"name": "test", "num_bytes": 1163633, "num_examples": 819}], "download_size": 12224086, "dataset_size": 22864080}, {"config_name": "samsum_Summarize_", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20155535, "num_examples": 14732}, {"name": "validation", "num_bytes": 1093962, "num_examples": 818}, {"name": "test", "num_bytes": 1139882, "num_examples": 819}], "download_size": 12178625, "dataset_size": 22389379}, {"config_name": "samsum_Summarize_this_dialogue_", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20494371, "num_examples": 14732}, {"name": "validation", "num_bytes": 1112776, "num_examples": 818}, {"name": "test", "num_bytes": 1158719, "num_examples": 819}], "download_size": 12217491, "dataset_size": 22765866}, {"config_name": "samsum_To_sum_up_this_dialog", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20450175, "num_examples": 14732}, {"name": "validation", "num_bytes": 1110322, "num_examples": 818}, {"name": "test", "num_bytes": 1156262, "num_examples": 819}], "download_size": 12250518, "dataset_size": 22716759}, {"config_name": "samsum_Write_a_dialogue_that_match_this_summary", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 20951063, "num_examples": 14732}, {"name": "validation", "num_bytes": 1138134, "num_examples": 818}, {"name": "test", "num_bytes": 1184108, "num_examples": 819}], "download_size": 12142707, "dataset_size": 23273305}, {"config_name": "sciq_Direct_Question", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13620270, "num_examples": 11679}, {"name": "validation", "num_bytes": 1155436, "num_examples": 1000}, {"name": "test", "num_bytes": 1179499, "num_examples": 1000}], "download_size": 7728424, "dataset_size": 15955205}, {"config_name": "sciq_Direct_Question_Closed_Book_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3203761, "num_examples": 11679}, {"name": "validation", "num_bytes": 278888, "num_examples": 1000}, {"name": "test", "num_bytes": 272132, "num_examples": 1000}], "download_size": 2012231, "dataset_size": 3754781}, {"config_name": "sciq_Multiple_Choice", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15429508, "num_examples": 11679}, {"name": "validation", "num_bytes": 1311751, "num_examples": 1000}, {"name": "test", "num_bytes": 1331575, "num_examples": 1000}], "download_size": 8635433, "dataset_size": 18072834}, {"config_name": "sciq_Multiple_Choice_Closed_Book_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5012999, "num_examples": 11679}, {"name": "validation", "num_bytes": 435203, "num_examples": 1000}, {"name": "test", "num_bytes": 424208, "num_examples": 1000}], "download_size": 2927347, "dataset_size": 5872410}, {"config_name": "sciq_Multiple_Choice_Question_First", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15943384, "num_examples": 11679}, {"name": "validation", "num_bytes": 1355751, "num_examples": 1000}, {"name": "test", "num_bytes": 1375575, "num_examples": 1000}], "download_size": 8754807, "dataset_size": 18674710}, {"config_name": "social_i_qa_Check_if_a_random_answer_is_valid_or_not", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13459148, "num_examples": 33410}, {"name": "validation", "num_bytes": 789738, "num_examples": 1954}], "download_size": 4919461, "dataset_size": 14248886}, {"config_name": "social_i_qa_Generate_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12738672, "num_examples": 33410}, {"name": "validation", "num_bytes": 748953, "num_examples": 1954}], "download_size": 6421176, "dataset_size": 13487625}, {"config_name": "social_i_qa_Generate_the_question_from_the_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13496939, "num_examples": 33410}, {"name": "validation", "num_bytes": 790867, "num_examples": 1954}], "download_size": 4698667, "dataset_size": 14287806}, {"config_name": "social_i_qa_I_was_wondering", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13607332, "num_examples": 33410}, {"name": "validation", "num_bytes": 799757, "num_examples": 1954}], "download_size": 6486811, "dataset_size": 14407089}, {"config_name": "social_i_qa_Show_choices_and_generate_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 17810931, "num_examples": 33410}, {"name": "validation", "num_bytes": 1050997, "num_examples": 1954}], "download_size": 8848333, "dataset_size": 18861928}, {"config_name": "social_i_qa_Show_choices_and_generate_index", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 19481067, "num_examples": 33410}, {"name": "validation", "num_bytes": 1144381, "num_examples": 1954}], "download_size": 6800886, "dataset_size": 20625448}, {"config_name": "squad_v2_Jeopardy_with_Context", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 162658727, "num_examples": 86821}, {"name": "validation", "num_bytes": 11632760, "num_examples": 5928}], "download_size": 47938364, "dataset_size": 174291487}, {"config_name": "squad_v2_Jeopardy_without_Context", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 27943826, "num_examples": 86821}, {"name": "validation", "num_bytes": 1932710, "num_examples": 5928}], "download_size": 10250181, "dataset_size": 29876536}, {"config_name": "squad_v2_Questions_with_Context", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 228499124, "num_examples": 130319}, {"name": "validation", "num_bytes": 21788313, "num_examples": 11873}], "download_size": 59960262, "dataset_size": 250287437}, {"config_name": "squad_v2_Questions_with_Context_Without_Prompt_Keywords", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 215624139, "num_examples": 130319}, {"name": "validation", "num_bytes": 20614543, "num_examples": 11873}], "download_size": 60874266, "dataset_size": 236238682}, {"config_name": "squad_v2_Questions_with_Context_Without_Prompt_Keywords_unanswerable", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 231512168, "num_examples": 130319}, {"name": "validation", "num_bytes": 22043171, "num_examples": 11873}], "download_size": 60038597, "dataset_size": 253555339}, {"config_name": "squad_v2_Questions_with_Context_unanswerable", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 244112278, "num_examples": 130319}, {"name": "validation", "num_bytes": 23192958, "num_examples": 11873}], "download_size": 60081358, "dataset_size": 267305236}, {"config_name": "squad_v2_Topic_Prediction_Context", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 204107251, "num_examples": 130319}, {"name": "validation", "num_bytes": 19537183, "num_examples": 11873}], "download_size": 36038550, "dataset_size": 223644434}, {"config_name": "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 202172444, "num_examples": 130319}, {"name": "validation", "num_bytes": 19361062, "num_examples": 11873}], "download_size": 43519623, "dataset_size": 221533506}, {"config_name": "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options_placed_in_the_end", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 201426597, "num_examples": 130319}, {"name": "validation", "num_bytes": 19292369, "num_examples": 11873}], "download_size": 44546673, "dataset_size": 220718966}, {"config_name": "squad_v2_Topic_Prediction_Question_and_Answer_Pair", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29250830, "num_examples": 86821}, {"name": "validation", "num_bytes": 2015099, "num_examples": 5928}], "download_size": 9794616, "dataset_size": 31265929}, {"config_name": "squad_v2_Trivia", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15357357, "num_examples": 86821}, {"name": "validation", "num_bytes": 1073346, "num_examples": 5928}], "download_size": 9336599, "dataset_size": 16430703}, {"config_name": "squad_v2_Unanwerable_question", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 223883460, "num_examples": 130319}, {"name": "validation", "num_bytes": 21366141, "num_examples": 11873}], "download_size": 55657772, "dataset_size": 245249601}, {"config_name": "super_glue_boolq_GPT_3_Style", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12429618, "num_examples": 9427}, {"name": "validation", "num_bytes": 4259837, "num_examples": 3270}, {"name": "test", "num_bytes": 4346276, "num_examples": 3245}], "download_size": 11729367, "dataset_size": 21035731}, {"config_name": "super_glue_boolq_I_wonder_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12684151, "num_examples": 9427}, {"name": "validation", "num_bytes": 4348127, "num_examples": 3270}, {"name": "test", "num_bytes": 4433891, "num_examples": 3245}], "download_size": 11746846, "dataset_size": 21466169}, {"config_name": "super_glue_boolq_after_reading", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13662381, "num_examples": 9427}, {"name": "validation", "num_bytes": 4687497, "num_examples": 3270}, {"name": "test", "num_bytes": 4755146, "num_examples": 3245}], "download_size": 11828199, "dataset_size": 23105024}, {"config_name": "super_glue_boolq_based_on_the_following_passage", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12674724, "num_examples": 9427}, {"name": "validation", "num_bytes": 4344857, "num_examples": 3270}, {"name": "test", "num_bytes": 4430646, "num_examples": 3245}], "download_size": 11703792, "dataset_size": 21450227}, {"config_name": "super_glue_boolq_based_on_the_previous_passage", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12665297, "num_examples": 9427}, {"name": "validation", "num_bytes": 4341587, "num_examples": 3270}, {"name": "test", "num_bytes": 4427401, "num_examples": 3245}], "download_size": 11739702, "dataset_size": 21434285}, {"config_name": "super_glue_boolq_could_you_tell_me_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12844410, "num_examples": 9427}, {"name": "validation", "num_bytes": 4403717, "num_examples": 3270}, {"name": "test", "num_bytes": 4489056, "num_examples": 3245}], "download_size": 11772122, "dataset_size": 21737183}, {"config_name": "super_glue_boolq_exam", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13146074, "num_examples": 9427}, {"name": "validation", "num_bytes": 4508357, "num_examples": 3270}, {"name": "test", "num_bytes": 4592896, "num_examples": 3245}], "download_size": 11785041, "dataset_size": 22247327}, {"config_name": "super_glue_boolq_exercise", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13766078, "num_examples": 9427}, {"name": "validation", "num_bytes": 4723467, "num_examples": 3270}, {"name": "test", "num_bytes": 4790841, "num_examples": 3245}], "download_size": 11847577, "dataset_size": 23280386}, {"config_name": "super_glue_boolq_valid_binary", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12710254, "num_examples": 9427}, {"name": "validation", "num_bytes": 4357227, "num_examples": 3270}, {"name": "test", "num_bytes": 4427401, "num_examples": 3245}], "download_size": 11791500, "dataset_size": 21494882}, {"config_name": "super_glue_boolq_yes_no_question", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 13240344, "num_examples": 9427}, {"name": "validation", "num_bytes": 4541057, "num_examples": 3270}, {"name": "test", "num_bytes": 4625346, "num_examples": 3245}], "download_size": 11825029, "dataset_size": 22406747}, {"config_name": "super_glue_cb_GPT_3_style", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 206745, "num_examples": 250}, {"name": "validation", "num_bytes": 51198, "num_examples": 56}, {"name": "test", "num_bytes": 225575, "num_examples": 250}], "download_size": 232846, "dataset_size": 483518}, {"config_name": "super_glue_cb_GPT_3_style_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 608780, "num_examples": 750}, {"name": "validation", "num_bytes": 150962, "num_examples": 168}, {"name": "test", "num_bytes": 646319, "num_examples": 750}], "download_size": 293849, "dataset_size": 1406061}, {"config_name": "super_glue_cb_MNLI_crowdsource", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 249234, "num_examples": 250}, {"name": "validation", "num_bytes": 60676, "num_examples": 56}, {"name": "test", "num_bytes": 267315, "num_examples": 250}], "download_size": 240138, "dataset_size": 577225}, {"config_name": "super_glue_cb_MNLI_crowdsource_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 730396, "num_examples": 750}, {"name": "validation", "num_bytes": 178038, "num_examples": 168}, {"name": "test", "num_bytes": 767539, "num_examples": 750}], "download_size": 303137, "dataset_size": 1675973}, {"config_name": "super_glue_cb_always_sometimes_never", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 224613, "num_examples": 250}, {"name": "validation", "num_bytes": 55126, "num_examples": 56}, {"name": "test", "num_bytes": 244065, "num_examples": 250}], "download_size": 237380, "dataset_size": 523804}, {"config_name": "super_glue_cb_always_sometimes_never_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 659646, "num_examples": 750}, {"name": "validation", "num_bytes": 162190, "num_examples": 168}, {"name": "test", "num_bytes": 696789, "num_examples": 750}], "download_size": 300429, "dataset_size": 1518625}, {"config_name": "super_glue_cb_based_on_the_previous_passage", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 220597, "num_examples": 250}, {"name": "validation", "num_bytes": 54225, "num_examples": 56}, {"name": "test", "num_bytes": 240815, "num_examples": 250}], "download_size": 237047, "dataset_size": 515637}, {"config_name": "super_glue_cb_based_on_the_previous_passage_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 654896, "num_examples": 750}, {"name": "validation", "num_bytes": 161126, "num_examples": 168}, {"name": "test", "num_bytes": 692039, "num_examples": 750}], "download_size": 297139, "dataset_size": 1508061}, {"config_name": "super_glue_cb_can_we_infer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 212347, "num_examples": 250}, {"name": "validation", "num_bytes": 52377, "num_examples": 56}, {"name": "test", "num_bytes": 232565, "num_examples": 250}], "download_size": 235287, "dataset_size": 497289}, {"config_name": "super_glue_cb_can_we_infer_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 630146, "num_examples": 750}, {"name": "validation", "num_bytes": 155582, "num_examples": 168}, {"name": "test", "num_bytes": 667289, "num_examples": 750}], "download_size": 296416, "dataset_size": 1453017}, {"config_name": "super_glue_cb_claim_true_false_inconclusive", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 228139, "num_examples": 250}, {"name": "validation", "num_bytes": 55959, "num_examples": 56}, {"name": "test", "num_bytes": 246565, "num_examples": 250}], "download_size": 236784, "dataset_size": 530663}, {"config_name": "super_glue_cb_claim_true_false_inconclusive_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 672646, "num_examples": 750}, {"name": "validation", "num_bytes": 165102, "num_examples": 168}, {"name": "test", "num_bytes": 709789, "num_examples": 750}], "download_size": 299461, "dataset_size": 1547537}, {"config_name": "super_glue_cb_consider_always_sometimes_never", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 229491, "num_examples": 250}, {"name": "validation", "num_bytes": 56274, "num_examples": 56}, {"name": "test", "num_bytes": 249075, "num_examples": 250}], "download_size": 235869, "dataset_size": 534840}, {"config_name": "super_glue_cb_consider_always_sometimes_never_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 674280, "num_examples": 750}, {"name": "validation", "num_bytes": 165634, "num_examples": 168}, {"name": "test", "num_bytes": 711819, "num_examples": 750}], "download_size": 297079, "dataset_size": 1551733}, {"config_name": "super_glue_cb_does_it_follow_that", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 208475, "num_examples": 250}, {"name": "validation", "num_bytes": 51565, "num_examples": 56}, {"name": "test", "num_bytes": 228825, "num_examples": 250}], "download_size": 233857, "dataset_size": 488865}, {"config_name": "super_glue_cb_does_it_follow_that_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 618530, "num_examples": 750}, {"name": "validation", "num_bytes": 153146, "num_examples": 168}, {"name": "test", "num_bytes": 656069, "num_examples": 750}], "download_size": 293804, "dataset_size": 1427745}, {"config_name": "super_glue_cb_does_this_imply", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 214097, "num_examples": 250}, {"name": "validation", "num_bytes": 52769, "num_examples": 56}, {"name": "test", "num_bytes": 234315, "num_examples": 250}], "download_size": 235640, "dataset_size": 501181}, {"config_name": "super_glue_cb_does_this_imply_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 635396, "num_examples": 750}, {"name": "validation", "num_bytes": 156758, "num_examples": 168}, {"name": "test", "num_bytes": 672539, "num_examples": 750}], "download_size": 296952, "dataset_size": 1464693}, {"config_name": "super_glue_cb_guaranteed_possible_impossible", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 230040, "num_examples": 250}, {"name": "validation", "num_bytes": 56341, "num_examples": 56}, {"name": "test", "num_bytes": 246565, "num_examples": 250}], "download_size": 238566, "dataset_size": 532946}, {"config_name": "super_glue_cb_guaranteed_possible_impossible_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 667146, "num_examples": 750}, {"name": "validation", "num_bytes": 163870, "num_examples": 168}, {"name": "test", "num_bytes": 704289, "num_examples": 750}], "download_size": 305681, "dataset_size": 1535305}, {"config_name": "super_glue_cb_guaranteed_true", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 214097, "num_examples": 250}, {"name": "validation", "num_bytes": 52769, "num_examples": 56}, {"name": "test", "num_bytes": 234315, "num_examples": 250}], "download_size": 237038, "dataset_size": 501181}, {"config_name": "super_glue_cb_guaranteed_true_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 635396, "num_examples": 750}, {"name": "validation", "num_bytes": 156758, "num_examples": 168}, {"name": "test", "num_bytes": 672539, "num_examples": 750}], "download_size": 298087, "dataset_size": 1464693}, {"config_name": "super_glue_cb_justified_in_saying", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 212847, "num_examples": 250}, {"name": "validation", "num_bytes": 52489, "num_examples": 56}, {"name": "test", "num_bytes": 233065, "num_examples": 250}], "download_size": 235860, "dataset_size": 498401}, {"config_name": "super_glue_cb_justified_in_saying_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 631646, "num_examples": 750}, {"name": "validation", "num_bytes": 155918, "num_examples": 168}, {"name": "test", "num_bytes": 668789, "num_examples": 750}], "download_size": 295846, "dataset_size": 1456353}, {"config_name": "super_glue_cb_must_be_true", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 218597, "num_examples": 250}, {"name": "validation", "num_bytes": 53777, "num_examples": 56}, {"name": "test", "num_bytes": 238815, "num_examples": 250}], "download_size": 237859, "dataset_size": 511189}, {"config_name": "super_glue_cb_must_be_true_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 648896, "num_examples": 750}, {"name": "validation", "num_bytes": 159782, "num_examples": 168}, {"name": "test", "num_bytes": 686039, "num_examples": 750}], "download_size": 299911, "dataset_size": 1494717}, {"config_name": "super_glue_cb_should_assume", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 214847, "num_examples": 250}, {"name": "validation", "num_bytes": 52937, "num_examples": 56}, {"name": "test", "num_bytes": 235065, "num_examples": 250}], "download_size": 236740, "dataset_size": 502849}, {"config_name": "super_glue_cb_should_assume_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 637646, "num_examples": 750}, {"name": "validation", "num_bytes": 157262, "num_examples": 168}, {"name": "test", "num_bytes": 674789, "num_examples": 750}], "download_size": 297354, "dataset_size": 1469697}, {"config_name": "super_glue_cb_take_the_following_as_truth", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 237389, "num_examples": 250}, {"name": "validation", "num_bytes": 58031, "num_examples": 56}, {"name": "test", "num_bytes": 255815, "num_examples": 250}], "download_size": 238453, "dataset_size": 551235}, {"config_name": "super_glue_cb_take_the_following_as_truth_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 700396, "num_examples": 750}, {"name": "validation", "num_bytes": 171318, "num_examples": 168}, {"name": "test", "num_bytes": 737539, "num_examples": 750}], "download_size": 301514, "dataset_size": 1609253}, {"config_name": "super_glue_copa_C1_or_C2_premise_so_because_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 145012, "num_examples": 400}, {"name": "validation", "num_bytes": 36931, "num_examples": 100}, {"name": "test", "num_bytes": 168625, "num_examples": 500}], "download_size": 196088, "dataset_size": 350568}, {"config_name": "super_glue_copa_C1_or_C2_premise_so_because__score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 249441, "num_examples": 800}, {"name": "validation", "num_bytes": 63425, "num_examples": 200}, {"name": "test", "num_bytes": 305078, "num_examples": 1000}], "download_size": 248725, "dataset_size": 617944}, {"config_name": "super_glue_copa__As_a_result_C1_or_C2_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 78677, "num_examples": 202}, {"name": "validation", "num_bytes": 18455, "num_examples": 48}, {"name": "test", "num_bytes": 90701, "num_examples": 250}], "download_size": 109360, "dataset_size": 187833}, {"config_name": "super_glue_copa__As_a_result_C1_or_C2__score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 136724, "num_examples": 404}, {"name": "validation", "num_bytes": 32033, "num_examples": 96}, {"name": "test", "num_bytes": 165575, "num_examples": 500}], "download_size": 139645, "dataset_size": 334332}, {"config_name": "super_glue_copa__What_could_happen_next_C1_or_C2_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 80899, "num_examples": 202}, {"name": "validation", "num_bytes": 18983, "num_examples": 48}, {"name": "test", "num_bytes": 93451, "num_examples": 250}], "download_size": 109831, "dataset_size": 193333}, {"config_name": "super_glue_copa__What_could_happen_next_C1_or_C2__score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 141168, "num_examples": 404}, {"name": "validation", "num_bytes": 33089, "num_examples": 96}, {"name": "test", "num_bytes": 171075, "num_examples": 500}], "download_size": 140116, "dataset_size": 345332}, {"config_name": "super_glue_copa__which_may_be_caused_by", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 77325, "num_examples": 198}, {"name": "validation", "num_bytes": 21236, "num_examples": 52}, {"name": "test", "num_bytes": 91674, "num_examples": 250}], "download_size": 109280, "dataset_size": 190235}, {"config_name": "super_glue_copa__which_may_be_caused_by_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 134698, "num_examples": 396}, {"name": "validation", "num_bytes": 36912, "num_examples": 104}, {"name": "test", "num_bytes": 167004, "num_examples": 500}], "download_size": 139320, "dataset_size": 338614}, {"config_name": "super_glue_copa__why_C1_or_C2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 71385, "num_examples": 198}, {"name": "validation", "num_bytes": 19676, "num_examples": 52}, {"name": "test", "num_bytes": 84174, "num_examples": 250}], "download_size": 108308, "dataset_size": 175235}, {"config_name": "super_glue_copa__why_C1_or_C2_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 122818, "num_examples": 396}, {"name": "validation", "num_bytes": 33792, "num_examples": 104}, {"name": "test", "num_bytes": 152004, "num_examples": 500}], "download_size": 137970, "dataset_size": 308614}, {"config_name": "super_glue_copa_best_option", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 182827, "num_examples": 400}, {"name": "validation", "num_bytes": 46371, "num_examples": 100}, {"name": "test", "num_bytes": 215833, "num_examples": 500}], "download_size": 202995, "dataset_size": 445031}, {"config_name": "super_glue_copa_best_option_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 325071, "num_examples": 800}, {"name": "validation", "num_bytes": 82305, "num_examples": 200}, {"name": "test", "num_bytes": 399494, "num_examples": 1000}], "download_size": 257050, "dataset_size": 806870}, {"config_name": "super_glue_copa_cause_effect", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 163033, "num_examples": 400}, {"name": "validation", "num_bytes": 41415, "num_examples": 100}, {"name": "test", "num_bytes": 191083, "num_examples": 500}], "download_size": 197901, "dataset_size": 395531}, {"config_name": "super_glue_copa_cause_effect_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 285483, "num_examples": 800}, {"name": "validation", "num_bytes": 72393, "num_examples": 200}, {"name": "test", "num_bytes": 349994, "num_examples": 1000}], "download_size": 250800, "dataset_size": 707870}, {"config_name": "super_glue_copa_choose", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 157421, "num_examples": 400}, {"name": "validation", "num_bytes": 40027, "num_examples": 100}, {"name": "test", "num_bytes": 184083, "num_examples": 500}], "download_size": 195870, "dataset_size": 381531}, {"config_name": "super_glue_copa_choose_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 274259, "num_examples": 800}, {"name": "validation", "num_bytes": 69617, "num_examples": 200}, {"name": "test", "num_bytes": 335994, "num_examples": 1000}], "download_size": 248339, "dataset_size": 679870}, {"config_name": "super_glue_copa_exercise", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 179021, "num_examples": 400}, {"name": "validation", "num_bytes": 45427, "num_examples": 100}, {"name": "test", "num_bytes": 211083, "num_examples": 500}], "download_size": 200024, "dataset_size": 435531}, {"config_name": "super_glue_copa_exercise_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 317459, "num_examples": 800}, {"name": "validation", "num_bytes": 80417, "num_examples": 200}, {"name": "test", "num_bytes": 389994, "num_examples": 1000}], "download_size": 253031, "dataset_size": 787870}, {"config_name": "super_glue_copa_i_am_hesitating", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 201033, "num_examples": 400}, {"name": "validation", "num_bytes": 50915, "num_examples": 100}, {"name": "test", "num_bytes": 238583, "num_examples": 500}], "download_size": 204671, "dataset_size": 490531}, {"config_name": "super_glue_copa_i_am_hesitating_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 361483, "num_examples": 800}, {"name": "validation", "num_bytes": 91393, "num_examples": 200}, {"name": "test", "num_bytes": 444994, "num_examples": 1000}], "download_size": 258257, "dataset_size": 897870}, {"config_name": "super_glue_copa_more_likely", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 195627, "num_examples": 400}, {"name": "validation", "num_bytes": 49571, "num_examples": 100}, {"name": "test", "num_bytes": 231833, "num_examples": 500}], "download_size": 205679, "dataset_size": 477031}, {"config_name": "super_glue_copa_more_likely_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 350671, "num_examples": 800}, {"name": "validation", "num_bytes": 88705, "num_examples": 200}, {"name": "test", "num_bytes": 431494, "num_examples": 1000}], "download_size": 260606, "dataset_size": 870870}, {"config_name": "super_glue_copa_plausible_alternatives", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 184629, "num_examples": 400}, {"name": "validation", "num_bytes": 46819, "num_examples": 100}, {"name": "test", "num_bytes": 218083, "num_examples": 500}], "download_size": 201203, "dataset_size": 449531}, {"config_name": "super_glue_copa_plausible_alternatives_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 328675, "num_examples": 800}, {"name": "validation", "num_bytes": 83201, "num_examples": 200}, {"name": "test", "num_bytes": 403994, "num_examples": 1000}], "download_size": 254263, "dataset_size": 815870}, {"config_name": "super_glue_multirc_I_was_going_to_say_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 87327367, "num_examples": 27243}, {"name": "validation", "num_bytes": 15270172, "num_examples": 4848}, {"name": "test", "num_bytes": 29317947, "num_examples": 9693}], "download_size": 10202981, "dataset_size": 131915486}, {"config_name": "super_glue_multirc_Would_it_be_good_to_answer_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 86590210, "num_examples": 27243}, {"name": "validation", "num_bytes": 15138916, "num_examples": 4848}, {"name": "test", "num_bytes": 29055844, "num_examples": 9693}], "download_size": 10145179, "dataset_size": 130784970}, {"config_name": "super_glue_multirc_confirm", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 88851379, "num_examples": 27243}, {"name": "validation", "num_bytes": 15541300, "num_examples": 4848}, {"name": "test", "num_bytes": 29860363, "num_examples": 9693}], "download_size": 10343037, "dataset_size": 134253042}, {"config_name": "super_glue_multirc_correct", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 89540386, "num_examples": 27243}, {"name": "validation", "num_bytes": 15663439, "num_examples": 4848}, {"name": "test", "num_bytes": 30104448, "num_examples": 9693}], "download_size": 10428485, "dataset_size": 135308273}, {"config_name": "super_glue_multirc_decide_valid", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 89151052, "num_examples": 27243}, {"name": "validation", "num_bytes": 15594628, "num_examples": 4848}, {"name": "test", "num_bytes": 29966986, "num_examples": 9693}], "download_size": 10388384, "dataset_size": 134712666}, {"config_name": "super_glue_multirc_found_this_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 88308115, "num_examples": 27243}, {"name": "validation", "num_bytes": 15444700, "num_examples": 4848}, {"name": "test", "num_bytes": 29666895, "num_examples": 9693}], "download_size": 10310634, "dataset_size": 133419710}, {"config_name": "super_glue_multirc_grading", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 88933108, "num_examples": 27243}, {"name": "validation", "num_bytes": 15555844, "num_examples": 4848}, {"name": "test", "num_bytes": 29889442, "num_examples": 9693}], "download_size": 10380847, "dataset_size": 134378394}, {"config_name": "super_glue_multirc_is_a_correct_answer_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 87897874, "num_examples": 27243}, {"name": "validation", "num_bytes": 15371620, "num_examples": 4848}, {"name": "test", "num_bytes": 29521108, "num_examples": 9693}], "download_size": 10277901, "dataset_size": 132790602}, {"config_name": "super_glue_multirc_is_the_correct_answer_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 86487255, "num_examples": 27243}, {"name": "validation", "num_bytes": 15121640, "num_examples": 4848}, {"name": "test", "num_bytes": 29019715, "num_examples": 9693}], "download_size": 10063584, "dataset_size": 130628610}, {"config_name": "super_glue_multirc_paragraph_question_is_it_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 85833423, "num_examples": 27243}, {"name": "validation", "num_bytes": 15005288, "num_examples": 4848}, {"name": "test", "num_bytes": 28787083, "num_examples": 9693}], "download_size": 10024769, "dataset_size": 129625794}, {"config_name": "super_glue_record_Add_sentence_after_after_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 405851847, "num_examples": 100730}, {"name": "validation", "num_bytes": 40002369, "num_examples": 10000}, {"name": "test", "num_bytes": 37604835, "num_examples": 10000}], "download_size": 161336040, "dataset_size": 483459051}, {"config_name": "super_glue_record_Add_sentence_after_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 397869219, "num_examples": 100730}, {"name": "validation", "num_bytes": 39209961, "num_examples": 10000}, {"name": "test", "num_bytes": 36813541, "num_examples": 10000}], "download_size": 160939894, "dataset_size": 473892721}, {"config_name": "super_glue_record_Can_you_figure_out_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 265384317, "num_examples": 100730}, {"name": "validation", "num_bytes": 25888812, "num_examples": 10000}, {"name": "test", "num_bytes": 26013119, "num_examples": 10000}], "download_size": 137075723, "dataset_size": 317286248}, {"config_name": "super_glue_record_GPT_3_style_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 389547353, "num_examples": 100730}, {"name": "validation", "num_bytes": 38377029, "num_examples": 10000}, {"name": "test", "num_bytes": 35877641, "num_examples": 10000}], "download_size": 161606657, "dataset_size": 463802023}, {"config_name": "super_glue_record_GPT_3_style_summary_only_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 391488841, "num_examples": 100730}, {"name": "validation", "num_bytes": 38568843, "num_examples": 10000}, {"name": "test", "num_bytes": 36068935, "num_examples": 10000}], "download_size": 161430527, "dataset_size": 466126619}, {"config_name": "super_glue_record_GPT_3_style_with_labels_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 394006123, "num_examples": 100730}, {"name": "validation", "num_bytes": 38818755, "num_examples": 10000}, {"name": "test", "num_bytes": 36318935, "num_examples": 10000}], "download_size": 161657804, "dataset_size": 469143813}, {"config_name": "super_glue_record_GPT_3_style_with_labels_without_hyphens_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 386704249, "num_examples": 100730}, {"name": "validation", "num_bytes": 38142115, "num_examples": 10000}, {"name": "test", "num_bytes": 35743760, "num_examples": 10000}], "download_size": 161860960, "dataset_size": 460590124}, {"config_name": "super_glue_record_GPT_3_style_without_hyphens_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 382247592, "num_examples": 100730}, {"name": "validation", "num_bytes": 37700089, "num_examples": 10000}, {"name": "test", "num_bytes": 35302531, "num_examples": 10000}], "download_size": 161214381, "dataset_size": 455250212}, {"config_name": "super_glue_record_In_the_question_above_the_placeholder_stands_for", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 263170377, "num_examples": 100730}, {"name": "validation", "num_bytes": 25668732, "num_examples": 10000}, {"name": "test", "num_bytes": 25793119, "num_examples": 10000}], "download_size": 136915415, "dataset_size": 314632228}, {"config_name": "super_glue_record_New_highlight_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 398639353, "num_examples": 100730}, {"name": "validation", "num_bytes": 39278843, "num_examples": 10000}, {"name": "test", "num_bytes": 36778935, "num_examples": 10000}], "download_size": 161410433, "dataset_size": 474697131}, {"config_name": "super_glue_record_News_article_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 400384809, "num_examples": 100730}, {"name": "validation", "num_bytes": 39459961, "num_examples": 10000}, {"name": "test", "num_bytes": 37063541, "num_examples": 10000}], "download_size": 161149940, "dataset_size": 476908311}, {"config_name": "super_glue_record_Summary_first_continuation_choices_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 389936507, "num_examples": 100730}, {"name": "validation", "num_bytes": 38422422, "num_examples": 10000}, {"name": "test", "num_bytes": 36024835, "num_examples": 10000}], "download_size": 161510844, "dataset_size": 464383764}, {"config_name": "super_glue_record_What_could_the_placeholder_be_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 291017905, "num_examples": 100730}, {"name": "validation", "num_bytes": 28253736, "num_examples": 10000}, {"name": "test", "num_bytes": 28355871, "num_examples": 10000}], "download_size": 149257838, "dataset_size": 347627512}, {"config_name": "super_glue_record_Which_one_is_the_placeholder_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 290920684, "num_examples": 100730}, {"name": "validation", "num_bytes": 28243964, "num_examples": 10000}, {"name": "test", "num_bytes": 28345871, "num_examples": 10000}], "download_size": 149149764, "dataset_size": 347510519}, {"config_name": "super_glue_record_choose_between", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 303576388, "num_examples": 100730}, {"name": "validation", "num_bytes": 29481844, "num_examples": 10000}, {"name": "test", "num_bytes": 29577381, "num_examples": 10000}], "download_size": 150960677, "dataset_size": 362635613}, {"config_name": "super_glue_record_corrupted", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 272131126, "num_examples": 100730}, {"name": "validation", "num_bytes": 26559245, "num_examples": 10000}, {"name": "test", "num_bytes": 26683119, "num_examples": 10000}], "download_size": 137380371, "dataset_size": 325373490}, {"config_name": "super_glue_record_exercise", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 269411416, "num_examples": 100730}, {"name": "validation", "num_bytes": 26288732, "num_examples": 10000}, {"name": "test", "num_bytes": 26413119, "num_examples": 10000}], "download_size": 137400236, "dataset_size": 322113267}, {"config_name": "super_glue_record_pick_one_option", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 298946149, "num_examples": 100730}, {"name": "validation", "num_bytes": 29021173, "num_examples": 10000}, {"name": "test", "num_bytes": 29117381, "num_examples": 10000}], "download_size": 149959507, "dataset_size": 357084703}, {"config_name": "super_glue_record_the_placeholder_refers_to_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 258633939, "num_examples": 100730}, {"name": "validation", "num_bytes": 25218812, "num_examples": 10000}, {"name": "test", "num_bytes": 25343119, "num_examples": 10000}], "download_size": 137051827, "dataset_size": 309195870}, {"config_name": "super_glue_record_trying_to_decide", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 309721314, "num_examples": 100730}, {"name": "validation", "num_bytes": 30091894, "num_examples": 10000}, {"name": "test", "num_bytes": 30187381, "num_examples": 10000}], "download_size": 151048548, "dataset_size": 370000589}, {"config_name": "super_glue_rte_GPT_3_style", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1822276, "num_examples": 2490}, {"name": "validation", "num_bytes": 196922, "num_examples": 277}, {"name": "test", "num_bytes": 2177860, "num_examples": 3000}], "download_size": 2192949, "dataset_size": 4197058}, {"config_name": "super_glue_rte_GPT_3_style_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3620347, "num_examples": 4980}, {"name": "validation", "num_bytes": 391279, "num_examples": 554}, {"name": "test", "num_bytes": 4173470, "num_examples": 6000}], "download_size": 2981743, "dataset_size": 8185096}, {"config_name": "super_glue_rte_MNLI_crowdsource", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2152454, "num_examples": 2490}, {"name": "validation", "num_bytes": 233726, "num_examples": 277}, {"name": "test", "num_bytes": 2592972, "num_examples": 3000}], "download_size": 2264401, "dataset_size": 4979152}, {"config_name": "super_glue_rte_MNLI_crowdsource_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 4300543, "num_examples": 4980}, {"name": "validation", "num_bytes": 466953, "num_examples": 554}, {"name": "test", "num_bytes": 4991694, "num_examples": 6000}], "download_size": 3056693, "dataset_size": 9759190}, {"config_name": "super_glue_rte_based_on_the_previous_passage", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1975664, "num_examples": 2490}, {"name": "validation", "num_bytes": 214059, "num_examples": 277}, {"name": "test", "num_bytes": 2379972, "num_examples": 3000}], "download_size": 2228456, "dataset_size": 4569695}, {"config_name": "super_glue_rte_based_on_the_previous_passage_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3946963, "num_examples": 4980}, {"name": "validation", "num_bytes": 427619, "num_examples": 554}, {"name": "test", "num_bytes": 4565694, "num_examples": 6000}], "download_size": 2997816, "dataset_size": 8940276}, {"config_name": "super_glue_rte_can_we_infer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1893494, "num_examples": 2490}, {"name": "validation", "num_bytes": 204918, "num_examples": 277}, {"name": "test", "num_bytes": 2280972, "num_examples": 3000}], "download_size": 2218834, "dataset_size": 4379384}, {"config_name": "super_glue_rte_can_we_infer_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3782623, "num_examples": 4980}, {"name": "validation", "num_bytes": 409337, "num_examples": 554}, {"name": "test", "num_bytes": 4367694, "num_examples": 6000}], "download_size": 3017504, "dataset_size": 8559654}, {"config_name": "super_glue_rte_does_it_follow_that", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1859666, "num_examples": 2490}, {"name": "validation", "num_bytes": 201152, "num_examples": 277}, {"name": "test", "num_bytes": 2240860, "num_examples": 3000}], "download_size": 2207694, "dataset_size": 4301678}, {"config_name": "super_glue_rte_does_it_follow_that_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3714967, "num_examples": 4980}, {"name": "validation", "num_bytes": 401805, "num_examples": 554}, {"name": "test", "num_bytes": 4287470, "num_examples": 6000}], "download_size": 2971692, "dataset_size": 8404242}, {"config_name": "super_glue_rte_does_this_imply", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1910924, "num_examples": 2490}, {"name": "validation", "num_bytes": 206857, "num_examples": 277}, {"name": "test", "num_bytes": 2301972, "num_examples": 3000}], "download_size": 2226281, "dataset_size": 4419753}, {"config_name": "super_glue_rte_does_this_imply_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3817483, "num_examples": 4980}, {"name": "validation", "num_bytes": 413215, "num_examples": 554}, {"name": "test", "num_bytes": 4409694, "num_examples": 6000}], "download_size": 3002523, "dataset_size": 8640392}, {"config_name": "super_glue_rte_guaranteed_true", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1910924, "num_examples": 2490}, {"name": "validation", "num_bytes": 206857, "num_examples": 277}, {"name": "test", "num_bytes": 2301972, "num_examples": 3000}], "download_size": 2225019, "dataset_size": 4419753}, {"config_name": "super_glue_rte_guaranteed_true_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3817483, "num_examples": 4980}, {"name": "validation", "num_bytes": 413215, "num_examples": 554}, {"name": "test", "num_bytes": 4409694, "num_examples": 6000}], "download_size": 3007337, "dataset_size": 8640392}, {"config_name": "super_glue_rte_justified_in_saying", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1898474, "num_examples": 2490}, {"name": "validation", "num_bytes": 205472, "num_examples": 277}, {"name": "test", "num_bytes": 2286972, "num_examples": 3000}], "download_size": 2216017, "dataset_size": 4390918}, {"config_name": "super_glue_rte_justified_in_saying_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3792583, "num_examples": 4980}, {"name": "validation", "num_bytes": 410445, "num_examples": 554}, {"name": "test", "num_bytes": 4379694, "num_examples": 6000}], "download_size": 2990847, "dataset_size": 8582722}, {"config_name": "super_glue_rte_must_be_true", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1955744, "num_examples": 2490}, {"name": "validation", "num_bytes": 211843, "num_examples": 277}, {"name": "test", "num_bytes": 2355972, "num_examples": 3000}], "download_size": 2242926, "dataset_size": 4523559}, {"config_name": "super_glue_rte_must_be_true_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3907123, "num_examples": 4980}, {"name": "validation", "num_bytes": 423187, "num_examples": 554}, {"name": "test", "num_bytes": 4517694, "num_examples": 6000}], "download_size": 3019993, "dataset_size": 8848004}, {"config_name": "super_glue_rte_should_assume", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1918394, "num_examples": 2490}, {"name": "validation", "num_bytes": 207688, "num_examples": 277}, {"name": "test", "num_bytes": 2310972, "num_examples": 3000}], "download_size": 2229173, "dataset_size": 4437054}, {"config_name": "super_glue_rte_should_assume_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3832423, "num_examples": 4980}, {"name": "validation", "num_bytes": 414877, "num_examples": 554}, {"name": "test", "num_bytes": 4427694, "num_examples": 6000}], "download_size": 2991273, "dataset_size": 8674994}, {"config_name": "super_glue_wic_GPT_3_prompt", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1983607, "num_examples": 5428}, {"name": "validation", "num_bytes": 241938, "num_examples": 638}, {"name": "test", "num_bytes": 574759, "num_examples": 1400}], "download_size": 957361, "dataset_size": 2800304}, {"config_name": "super_glue_wic_GPT_3_prompt_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3957715, "num_examples": 10856}, {"name": "validation", "num_bytes": 482760, "num_examples": 1276}, {"name": "test", "num_bytes": 1058868, "num_examples": 2800}], "download_size": 1238602, "dataset_size": 5499343}, {"config_name": "super_glue_wic_GPT_3_prompt_with_label", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2119307, "num_examples": 5428}, {"name": "validation", "num_bytes": 257888, "num_examples": 638}, {"name": "test", "num_bytes": 609759, "num_examples": 1400}], "download_size": 964203, "dataset_size": 2986954}, {"config_name": "super_glue_wic_GPT_3_prompt_with_label_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 4229115, "num_examples": 10856}, {"name": "validation", "num_bytes": 514660, "num_examples": 1276}, {"name": "test", "num_bytes": 1128868, "num_examples": 2800}], "download_size": 1250446, "dataset_size": 5872643}, {"config_name": "super_glue_wic_affirmation_true_or_false", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2293003, "num_examples": 5428}, {"name": "validation", "num_bytes": 278304, "num_examples": 638}, {"name": "test", "num_bytes": 646159, "num_examples": 1400}], "download_size": 983242, "dataset_size": 3217466}, {"config_name": "super_glue_wic_affirmation_true_or_false_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 4533083, "num_examples": 10856}, {"name": "validation", "num_bytes": 550388, "num_examples": 1276}, {"name": "test", "num_bytes": 1207268, "num_examples": 2800}], "download_size": 1275345, "dataset_size": 6290739}, {"config_name": "super_glue_wic_grammar_homework", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2374423, "num_examples": 5428}, {"name": "validation", "num_bytes": 287874, "num_examples": 638}, {"name": "test", "num_bytes": 675559, "num_examples": 1400}], "download_size": 984415, "dataset_size": 3337856}, {"config_name": "super_glue_wic_grammar_homework_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 4739347, "num_examples": 10856}, {"name": "validation", "num_bytes": 574632, "num_examples": 1276}, {"name": "test", "num_bytes": 1260468, "num_examples": 2800}], "download_size": 1274392, "dataset_size": 6574447}, {"config_name": "super_glue_wic_polysemous", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2564403, "num_examples": 5428}, {"name": "validation", "num_bytes": 310204, "num_examples": 638}, {"name": "test", "num_bytes": 724559, "num_examples": 1400}], "download_size": 1002838, "dataset_size": 3599166}, {"config_name": "super_glue_wic_polysemous_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 5119307, "num_examples": 10856}, {"name": "validation", "num_bytes": 619292, "num_examples": 1276}, {"name": "test", "num_bytes": 1358468, "num_examples": 2800}], "download_size": 1301826, "dataset_size": 7097067}, {"config_name": "super_glue_wic_question_context", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1994463, "num_examples": 5428}, {"name": "validation", "num_bytes": 243214, "num_examples": 638}, {"name": "test", "num_bytes": 577559, "num_examples": 1400}], "download_size": 943605, "dataset_size": 2815236}, {"config_name": "super_glue_wic_question_context_meaning", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1782771, "num_examples": 5428}, {"name": "validation", "num_bytes": 218332, "num_examples": 638}, {"name": "test", "num_bytes": 522959, "num_examples": 1400}], "download_size": 930660, "dataset_size": 2524062}, {"config_name": "super_glue_wic_question_context_meaning_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3556043, "num_examples": 10856}, {"name": "validation", "num_bytes": 435548, "num_examples": 1276}, {"name": "test", "num_bytes": 955268, "num_examples": 2800}], "download_size": 1205881, "dataset_size": 4946859}, {"config_name": "super_glue_wic_question_context_meaning_with_label", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1918471, "num_examples": 5428}, {"name": "validation", "num_bytes": 234282, "num_examples": 638}, {"name": "test", "num_bytes": 557959, "num_examples": 1400}], "download_size": 936102, "dataset_size": 2710712}, {"config_name": "super_glue_wic_question_context_meaning_with_label_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3827443, "num_examples": 10856}, {"name": "validation", "num_bytes": 467448, "num_examples": 1276}, {"name": "test", "num_bytes": 1025268, "num_examples": 2800}], "download_size": 1214072, "dataset_size": 5320159}, {"config_name": "super_glue_wic_question_context_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 3979427, "num_examples": 10856}, {"name": "validation", "num_bytes": 485312, "num_examples": 1276}, {"name": "test", "num_bytes": 1064468, "num_examples": 2800}], "download_size": 1226262, "dataset_size": 5529207}, {"config_name": "super_glue_wic_same_sense", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2390707, "num_examples": 5428}, {"name": "validation", "num_bytes": 289788, "num_examples": 638}, {"name": "test", "num_bytes": 679759, "num_examples": 1400}], "download_size": 991665, "dataset_size": 3360254}, {"config_name": "super_glue_wic_same_sense_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 4771915, "num_examples": 10856}, {"name": "validation", "num_bytes": 578460, "num_examples": 1276}, {"name": "test", "num_bytes": 1268868, "num_examples": 2800}], "download_size": 1288864, "dataset_size": 6619243}, {"config_name": "super_glue_wic_similar_sense", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1316903, "num_examples": 5428}, {"name": "validation", "num_bytes": 162928, "num_examples": 638}, {"name": "test", "num_bytes": 401667, "num_examples": 1400}], "download_size": 879241, "dataset_size": 1881498}, {"config_name": "super_glue_wic_similar_sense_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 2624307, "num_examples": 10856}, {"name": "validation", "num_bytes": 324740, "num_examples": 1276}, {"name": "test", "num_bytes": 712684, "num_examples": 2800}], "download_size": 1137914, "dataset_size": 3661731}, {"config_name": "super_glue_wsc.fixed_GPT_3_Style", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 264750, "num_examples": 554}, {"name": "validation", "num_bytes": 58787, "num_examples": 104}, {"name": "test", "num_bytes": 90504, "num_examples": 146}], "download_size": 112061, "dataset_size": 414041}, {"config_name": "super_glue_wsc.fixed_GPT_3_Style_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 528567, "num_examples": 1108}, {"name": "validation", "num_bytes": 117420, "num_examples": 208}, {"name": "test", "num_bytes": 171555, "num_examples": 292}], "download_size": 162969, "dataset_size": 817542}, {"config_name": "super_glue_wsc.fixed_I_think_they_mean", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 245820, "num_examples": 554}, {"name": "validation", "num_bytes": 57798, "num_examples": 104}, {"name": "test", "num_bytes": 86703, "num_examples": 146}], "download_size": 118405, "dataset_size": 390321}, {"config_name": "super_glue_wsc.fixed_I_think_they_mean_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 490707, "num_examples": 1108}, {"name": "validation", "num_bytes": 115442, "num_examples": 208}, {"name": "test", "num_bytes": 163953, "num_examples": 292}], "download_size": 162352, "dataset_size": 770102}, {"config_name": "super_glue_wsc.fixed_Who_or_what_is_are", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 228569, "num_examples": 554}, {"name": "validation", "num_bytes": 51844, "num_examples": 104}, {"name": "test", "num_bytes": 81002, "num_examples": 146}], "download_size": 106806, "dataset_size": 361415}, {"config_name": "super_glue_wsc.fixed_Who_or_what_is_are_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 456205, "num_examples": 1108}, {"name": "validation", "num_bytes": 103534, "num_examples": 208}, {"name": "test", "num_bytes": 152551, "num_examples": 292}], "download_size": 146175, "dataset_size": 712290}, {"config_name": "super_glue_wsc.fixed_by_p_they_mean", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 220922, "num_examples": 554}, {"name": "validation", "num_bytes": 50643, "num_examples": 104}, {"name": "test", "num_bytes": 78988, "num_examples": 146}], "download_size": 108198, "dataset_size": 350553}, {"config_name": "super_glue_wsc.fixed_by_p_they_mean_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 440911, "num_examples": 1108}, {"name": "validation", "num_bytes": 101132, "num_examples": 208}, {"name": "test", "num_bytes": 148523, "num_examples": 292}], "download_size": 147153, "dataset_size": 690566}, {"config_name": "super_glue_wsc.fixed_does_p_stand_for", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 217102, "num_examples": 554}, {"name": "validation", "num_bytes": 49843, "num_examples": 104}, {"name": "test", "num_bytes": 77984, "num_examples": 146}], "download_size": 109493, "dataset_size": 344929}, {"config_name": "super_glue_wsc.fixed_does_p_stand_for_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 433271, "num_examples": 1108}, {"name": "validation", "num_bytes": 99532, "num_examples": 208}, {"name": "test", "num_bytes": 146515, "num_examples": 292}], "download_size": 144454, "dataset_size": 679318}, {"config_name": "super_glue_wsc.fixed_does_the_pronoun_refer_to", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 249788, "num_examples": 554}, {"name": "validation", "num_bytes": 55979, "num_examples": 104}, {"name": "test", "num_bytes": 86598, "num_examples": 146}], "download_size": 110787, "dataset_size": 392365}, {"config_name": "super_glue_wsc.fixed_does_the_pronoun_refer_to_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 498643, "num_examples": 1108}, {"name": "validation", "num_bytes": 111804, "num_examples": 208}, {"name": "test", "num_bytes": 163743, "num_examples": 292}], "download_size": 152623, "dataset_size": 774190}, {"config_name": "super_glue_wsc.fixed_in_other_words", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 248700, "num_examples": 554}, {"name": "validation", "num_bytes": 58350, "num_examples": 104}, {"name": "test", "num_bytes": 86507, "num_examples": 146}], "download_size": 119385, "dataset_size": 393557}, {"config_name": "super_glue_wsc.fixed_in_other_words_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 491675, "num_examples": 1108}, {"name": "validation", "num_bytes": 115434, "num_examples": 208}, {"name": "test", "num_bytes": 164145, "num_examples": 292}], "download_size": 162110, "dataset_size": 771254}, {"config_name": "super_glue_wsc.fixed_p_is_are_r", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 239521, "num_examples": 554}, {"name": "validation", "num_bytes": 54166, "num_examples": 104}, {"name": "test", "num_bytes": 82932, "num_examples": 146}], "download_size": 109490, "dataset_size": 376619}, {"config_name": "super_glue_wsc.fixed_p_is_are_r_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 473317, "num_examples": 1108}, {"name": "validation", "num_bytes": 107066, "num_examples": 208}, {"name": "test", "num_bytes": 156995, "num_examples": 292}], "download_size": 149543, "dataset_size": 737378}, {"config_name": "super_glue_wsc.fixed_replaced_with", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 263026, "num_examples": 554}, {"name": "validation", "num_bytes": 58547, "num_examples": 104}, {"name": "test", "num_bytes": 90084, "num_examples": 146}], "download_size": 112203, "dataset_size": 411657}, {"config_name": "super_glue_wsc.fixed_replaced_with_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 525119, "num_examples": 1108}, {"name": "validation", "num_bytes": 116940, "num_examples": 208}, {"name": "test", "num_bytes": 170715, "num_examples": 292}], "download_size": 155805, "dataset_size": 812774}, {"config_name": "super_glue_wsc.fixed_the_pronoun_refers_to", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 253850, "num_examples": 554}, {"name": "validation", "num_bytes": 56847, "num_examples": 104}, {"name": "test", "num_bytes": 86708, "num_examples": 146}], "download_size": 110888, "dataset_size": 397405}, {"config_name": "super_glue_wsc.fixed_the_pronoun_refers_to_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 501975, "num_examples": 1108}, {"name": "validation", "num_bytes": 112428, "num_examples": 208}, {"name": "test", "num_bytes": 164547, "num_examples": 292}], "download_size": 152745, "dataset_size": 778950}, {"config_name": "trec_fine_grained_ABBR", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29061, "num_examples": 86}, {"name": "test", "num_bytes": 2872, "num_examples": 9}], "download_size": 13471, "dataset_size": 31933}, {"config_name": "trec_fine_grained_ABBR_context_first", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29147, "num_examples": 86}, {"name": "test", "num_bytes": 2881, "num_examples": 9}], "download_size": 13476, "dataset_size": 32028}, {"config_name": "trec_fine_grained_DESC", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 393977, "num_examples": 1162}, {"name": "test", "num_bytes": 41418, "num_examples": 138}], "download_size": 94925, "dataset_size": 435395}, {"config_name": "trec_fine_grained_DESC_context_first", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 395139, "num_examples": 1162}, {"name": "test", "num_bytes": 41556, "num_examples": 138}], "download_size": 95790, "dataset_size": 436695}, {"config_name": "trec_fine_grained_ENTY", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1190181, "num_examples": 1250}, {"name": "test", "num_bytes": 87266, "num_examples": 94}], "download_size": 150983, "dataset_size": 1277447}, {"config_name": "trec_fine_grained_HUM", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 405413, "num_examples": 1223}, {"name": "test", "num_bytes": 19663, "num_examples": 65}], "download_size": 120132, "dataset_size": 425076}, {"config_name": "trec_fine_grained_HUM_context_first", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 405413, "num_examples": 1223}, {"name": "test", "num_bytes": 19663, "num_examples": 65}], "download_size": 120510, "dataset_size": 425076}, {"config_name": "trec_fine_grained_LOC", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 293654, "num_examples": 835}, {"name": "test", "num_bytes": 26894, "num_examples": 81}], "download_size": 73853, "dataset_size": 320548}, {"config_name": "trec_fine_grained_LOC_context_first", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 294489, "num_examples": 835}, {"name": "test", "num_bytes": 26975, "num_examples": 81}], "download_size": 74431, "dataset_size": 321464}, {"config_name": "trec_fine_grained_NUM", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 517672, "num_examples": 896}, {"name": "test", "num_bytes": 62715, "num_examples": 113}], "download_size": 87233, "dataset_size": 580387}, {"config_name": "trec_fine_grained_NUM_context_first", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 518568, "num_examples": 896}, {"name": "test", "num_bytes": 62828, "num_examples": 113}], "download_size": 88066, "dataset_size": 581396}, {"config_name": "trec_fine_grained_open", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4097073, "num_examples": 5452}, {"name": "test", "num_bytes": 361374, "num_examples": 500}], "download_size": 483505, "dataset_size": 4458447}, {"config_name": "trec_fine_grained_open_context_first", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4097073, "num_examples": 5452}, {"name": "test", "num_bytes": 361374, "num_examples": 500}], "download_size": 487935, "dataset_size": 4458447}, {"config_name": "trec_pick_the_best_descriptor", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2383862, "num_examples": 5452}, {"name": "test", "num_bytes": 203911, "num_examples": 500}], "download_size": 501452, "dataset_size": 2587773}, {"config_name": "trec_trec1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2149426, "num_examples": 5452}, {"name": "test", "num_bytes": 182411, "num_examples": 500}], "download_size": 492132, "dataset_size": 2331837}, {"config_name": "trec_trec2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2291178, "num_examples": 5452}, {"name": "test", "num_bytes": 195411, "num_examples": 500}], "download_size": 492952, "dataset_size": 2486589}, {"config_name": "trec_what_category_best_describe", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2372958, "num_examples": 5452}, {"name": "test", "num_bytes": 202911, "num_examples": 500}], "download_size": 500367, "dataset_size": 2575869}, {"config_name": "trec_which_category_best_describes", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2689174, "num_examples": 5452}, {"name": "test", "num_bytes": 231911, "num_examples": 500}], "download_size": 511984, "dataset_size": 2921085}, {"config_name": "trivia_qa_unfiltered_first_person_context", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23222479, "num_examples": 87622}, {"name": "validation", "num_bytes": 2998592, "num_examples": 11313}, {"name": "test", "num_bytes": 2891859, "num_examples": 10832}], "download_size": 15869519, "dataset_size": 29112930}, {"config_name": "trivia_qa_unfiltered_formal_description", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35314285, "num_examples": 87622}, {"name": "validation", "num_bytes": 4560592, "num_examples": 11313}, {"name": "test", "num_bytes": 4386675, "num_examples": 10832}], "download_size": 16841793, "dataset_size": 44261552}, {"config_name": "trivia_qa_unfiltered_guess_question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 26388503, "num_examples": 87622}, {"name": "validation", "num_bytes": 3405357, "num_examples": 11313}], "download_size": 14849804, "dataset_size": 29793860}, {"config_name": "trivia_qa_unfiltered_question_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23047205, "num_examples": 87622}, {"name": "validation", "num_bytes": 2974273, "num_examples": 11313}, {"name": "test", "num_bytes": 2870195, "num_examples": 10832}], "download_size": 15992511, "dataset_size": 28891673}, {"config_name": "trivia_qa_unfiltered_question_with_instruction", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23660575, "num_examples": 87622}, {"name": "validation", "num_bytes": 3054737, "num_examples": 11313}, {"name": "test", "num_bytes": 2946019, "num_examples": 10832}], "download_size": 15886084, "dataset_size": 29661331}, {"config_name": "web_questions_get_the_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 804337, "num_examples": 3778}, {"name": "test", "num_bytes": 436882, "num_examples": 2032}], "download_size": 489913, "dataset_size": 1241219}, {"config_name": "web_questions_potential_correct_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 872716, "num_examples": 3778}, {"name": "test", "num_bytes": 472848, "num_examples": 2032}], "download_size": 495767, "dataset_size": 1345564}, {"config_name": "web_questions_question_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 509600, "num_examples": 3778}, {"name": "test", "num_bytes": 277649, "num_examples": 2032}], "download_size": 463024, "dataset_size": 787249}, {"config_name": "web_questions_short_general_knowledge_q", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 713665, "num_examples": 3778}, {"name": "test", "num_bytes": 387500, "num_examples": 2032}], "download_size": 480185, "dataset_size": 1101165}, {"config_name": "web_questions_whats_the_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 782036, "num_examples": 3778}, {"name": "test", "num_bytes": 424624, "num_examples": 2032}], "download_size": 488302, "dataset_size": 1206660}, {"config_name": "wiki_bio_comprehension", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1630510502, "num_examples": 582639}, {"name": "test", "num_bytes": 203505789, "num_examples": 72829}, {"name": "val", "num_bytes": 203916390, "num_examples": 72831}], "download_size": 888828114, "dataset_size": 2037932681}, {"config_name": "wiki_bio_guess_person", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 709582624, "num_examples": 582639}, {"name": "test", "num_bytes": 88627789, "num_examples": 72829}, {"name": "val", "num_bytes": 88793147, "num_examples": 72831}], "download_size": 369465704, "dataset_size": 887003560}, {"config_name": "wiki_bio_key_content", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1427894706, "num_examples": 582639}, {"name": "test", "num_bytes": 178164868, "num_examples": 72829}, {"name": "val", "num_bytes": 178545380, "num_examples": 72831}], "download_size": 805077501, "dataset_size": 1784604954}, {"config_name": "wiki_bio_what_content", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1005721358, "num_examples": 582639}, {"name": "test", "num_bytes": 125491764, "num_examples": 72829}, {"name": "val", "num_bytes": 125718669, "num_examples": 72831}], "download_size": 509911784, "dataset_size": 1256931791}, {"config_name": "wiki_bio_who", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1439607119, "num_examples": 582639}, {"name": "test", "num_bytes": 179628525, "num_examples": 72829}, {"name": "val", "num_bytes": 180006405, "num_examples": 72831}], "download_size": 808442534, "dataset_size": 1799242049}, {"config_name": "wiki_hop_original_choose_best_object_affirmative_1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 663150479, "num_examples": 43738}, {"name": "validation", "num_bytes": 83041884, "num_examples": 5129}], "download_size": 385675449, "dataset_size": 746192363}, {"config_name": "wiki_hop_original_choose_best_object_affirmative_2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 663019265, "num_examples": 43738}, {"name": "validation", "num_bytes": 83026497, "num_examples": 5129}], "download_size": 385780787, "dataset_size": 746045762}, {"config_name": "wiki_hop_original_choose_best_object_affirmative_3", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 666212139, "num_examples": 43738}, {"name": "validation", "num_bytes": 83400914, "num_examples": 5129}], "download_size": 386516604, "dataset_size": 749613053}, {"config_name": "wiki_hop_original_choose_best_object_interrogative_1", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 658557989, "num_examples": 43738}, {"name": "validation", "num_bytes": 82503339, "num_examples": 5129}], "download_size": 384888543, "dataset_size": 741061328}, {"config_name": "wiki_hop_original_choose_best_object_interrogative_2", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 658601727, "num_examples": 43738}, {"name": "validation", "num_bytes": 82508468, "num_examples": 5129}], "download_size": 385067937, "dataset_size": 741110195}, {"config_name": "wiki_hop_original_explain_relation", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 620991073, "num_examples": 43738}, {"name": "validation", "num_bytes": 77941958, "num_examples": 5129}], "download_size": 366004566, "dataset_size": 698933031}, {"config_name": "wiki_hop_original_generate_object", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 621316721, "num_examples": 43738}, {"name": "validation", "num_bytes": 77980628, "num_examples": 5129}], "download_size": 366787046, "dataset_size": 699297349}, {"config_name": "wiki_hop_original_generate_subject", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 623714465, "num_examples": 43738}, {"name": "validation", "num_bytes": 78260730, "num_examples": 5129}], "download_size": 367748453, "dataset_size": 701975195}, {"config_name": "wiki_hop_original_generate_subject_and_object", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 624675259, "num_examples": 43738}, {"name": "validation", "num_bytes": 78374281, "num_examples": 5129}], "download_size": 367493299, "dataset_size": 703049540}, {"config_name": "wiki_qa_Decide_good_answer", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11928327, "num_examples": 20360}, {"name": "validation", "num_bytes": 1588513, "num_examples": 2733}, {"name": "test", "num_bytes": 3601306, "num_examples": 6165}], "download_size": 6026723, "dataset_size": 17118146}, {"config_name": "wiki_qa_Direct_Answer_to_Question", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 464780, "num_examples": 1040}, {"name": "validation", "num_bytes": 62282, "num_examples": 140}, {"name": "test", "num_bytes": 128388, "num_examples": 293}], "download_size": 395128, "dataset_size": 655450}, {"config_name": "wiki_qa_Generate_Question_from_Topic", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 600344, "num_examples": 1040}, {"name": "validation", "num_bytes": 80494, "num_examples": 140}, {"name": "test", "num_bytes": 166291, "num_examples": 293}], "download_size": 434236, "dataset_size": 847129}, {"config_name": "wiki_qa_Is_This_True_", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9652071, "num_examples": 20360}, {"name": "validation", "num_bytes": 1282191, "num_examples": 2733}, {"name": "test", "num_bytes": 2918012, "num_examples": 6165}], "download_size": 5726813, "dataset_size": 13852274}, {"config_name": "wiki_qa_Jeopardy_style", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 563988, "num_examples": 1040}, {"name": "validation", "num_bytes": 75570, "num_examples": 140}, {"name": "test", "num_bytes": 155917, "num_examples": 293}], "download_size": 435303, "dataset_size": 795475}, {"config_name": "wiki_qa_Topic_Prediction_Answer_Only", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 476970, "num_examples": 1040}, {"name": "validation", "num_bytes": 63658, "num_examples": 140}, {"name": "test", "num_bytes": 131049, "num_examples": 293}], "download_size": 377885, "dataset_size": 671677}, {"config_name": "wiki_qa_Topic_Prediction_Question_Only", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 242922, "num_examples": 1040}, {"name": "validation", "num_bytes": 32780, "num_examples": 140}, {"name": "test", "num_bytes": 68566, "num_examples": 293}], "download_size": 130561, "dataset_size": 344268}, {"config_name": "wiki_qa_Topic_Prediction_Question_and_Answer_Pair", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 637104, "num_examples": 1040}, {"name": "validation", "num_bytes": 85410, "num_examples": 140}, {"name": "test", "num_bytes": 176567, "num_examples": 293}], "download_size": 443010, "dataset_size": 899081}, {"config_name": "wiki_qa_automatic_system", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 12887927, "num_examples": 20360}, {"name": "validation", "num_bytes": 1715972, "num_examples": 2733}, {"name": "test", "num_bytes": 3899289, "num_examples": 6165}], "download_size": 5942624, "dataset_size": 18503188}, {"config_name": "wiki_qa_exercise", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14832087, "num_examples": 20360}, {"name": "validation", "num_bytes": 1976940, "num_examples": 2733}, {"name": "test", "num_bytes": 4488199, "num_examples": 6165}], "download_size": 6093460, "dataset_size": 21297226}, {"config_name": "wiki_qa_found_on_google", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11401647, "num_examples": 20360}, {"name": "validation", "num_bytes": 1516463, "num_examples": 2733}, {"name": "test", "num_bytes": 3449244, "num_examples": 6165}], "download_size": 5814247, "dataset_size": 16367354}, {"config_name": "winogrande_winogrande_debiased_Replace", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3875803, "num_examples": 9248}, {"name": "validation", "num_bytes": 528582, "num_examples": 1267}, {"name": "test", "num_bytes": 739620, "num_examples": 1767}], "download_size": 1782977, "dataset_size": 5144005}, {"config_name": "winogrande_winogrande_debiased_Replace_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 7551668, "num_examples": 18496}, {"name": "validation", "num_bytes": 1030154, "num_examples": 2534}, {"name": "test", "num_bytes": 1440851, "num_examples": 3534}], "download_size": 2298663, "dataset_size": 10022673}, {"config_name": "winogrande_winogrande_debiased_does_underscore_refer_to", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3515131, "num_examples": 9248}, {"name": "validation", "num_bytes": 479169, "num_examples": 1267}, {"name": "test", "num_bytes": 670707, "num_examples": 1767}], "download_size": 1745005, "dataset_size": 4665007}, {"config_name": "winogrande_winogrande_debiased_does_underscore_refer_to_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 6830324, "num_examples": 18496}, {"name": "validation", "num_bytes": 931328, "num_examples": 2534}, {"name": "test", "num_bytes": 1303025, "num_examples": 3534}], "download_size": 2251303, "dataset_size": 9064677}, {"config_name": "winogrande_winogrande_debiased_fill_in_the_blank", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3894299, "num_examples": 9248}, {"name": "validation", "num_bytes": 531116, "num_examples": 1267}, {"name": "test", "num_bytes": 743154, "num_examples": 1767}], "download_size": 1791464, "dataset_size": 5168569}, {"config_name": "winogrande_winogrande_debiased_fill_in_the_blank_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 7588660, "num_examples": 18496}, {"name": "validation", "num_bytes": 1035222, "num_examples": 2534}, {"name": "test", "num_bytes": 1447919, "num_examples": 3534}], "download_size": 2325131, "dataset_size": 10071801}, {"config_name": "winogrande_winogrande_debiased_stand_for", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3533627, "num_examples": 9248}, {"name": "validation", "num_bytes": 481703, "num_examples": 1267}, {"name": "test", "num_bytes": 674241, "num_examples": 1767}], "download_size": 1726262, "dataset_size": 4689571}, {"config_name": "winogrande_winogrande_debiased_stand_for_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 6904308, "num_examples": 18496}, {"name": "validation", "num_bytes": 941464, "num_examples": 2534}, {"name": "test", "num_bytes": 1317161, "num_examples": 3534}], "download_size": 2236146, "dataset_size": 9162933}, {"config_name": "winogrande_winogrande_debiased_underscore_refer_to", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3635355, "num_examples": 9248}, {"name": "validation", "num_bytes": 495640, "num_examples": 1267}, {"name": "test", "num_bytes": 693678, "num_examples": 1767}], "download_size": 1753140, "dataset_size": 4824673}, {"config_name": "winogrande_winogrande_debiased_underscore_refer_to_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 7070772, "num_examples": 18496}, {"name": "validation", "num_bytes": 964270, "num_examples": 2534}, {"name": "test", "num_bytes": 1348967, "num_examples": 3534}], "download_size": 2260695, "dataset_size": 9384009}, {"config_name": "winogrande_winogrande_xl_Replace", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16754221, "num_examples": 40398}, {"name": "validation", "num_bytes": 528582, "num_examples": 1267}, {"name": "test", "num_bytes": 739620, "num_examples": 1767}], "download_size": 5219643, "dataset_size": 18022423}, {"config_name": "winogrande_winogrande_xl_Replace_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 32627062, "num_examples": 80796}, {"name": "validation", "num_bytes": 1030154, "num_examples": 2534}, {"name": "test", "num_bytes": 1440851, "num_examples": 3534}], "download_size": 7524715, "dataset_size": 35098067}, {"config_name": "winogrande_winogrande_xl_does_underscore_refer_to", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15178699, "num_examples": 40398}, {"name": "validation", "num_bytes": 479169, "num_examples": 1267}, {"name": "test", "num_bytes": 670707, "num_examples": 1767}], "download_size": 5110009, "dataset_size": 16328575}, {"config_name": "winogrande_winogrande_xl_does_underscore_refer_to_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 29476018, "num_examples": 80796}, {"name": "validation", "num_bytes": 931328, "num_examples": 2534}, {"name": "test", "num_bytes": 1303025, "num_examples": 3534}], "download_size": 7414291, "dataset_size": 31710371}, {"config_name": "winogrande_winogrande_xl_fill_in_the_blank", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16835017, "num_examples": 40398}, {"name": "validation", "num_bytes": 531116, "num_examples": 1267}, {"name": "test", "num_bytes": 743154, "num_examples": 1767}], "download_size": 5218314, "dataset_size": 18109287}, {"config_name": "winogrande_winogrande_xl_fill_in_the_blank_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 32788654, "num_examples": 80796}, {"name": "validation", "num_bytes": 1035222, "num_examples": 2534}, {"name": "test", "num_bytes": 1447919, "num_examples": 3534}], "download_size": 7679499, "dataset_size": 35271795}, {"config_name": "winogrande_winogrande_xl_stand_for", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15259495, "num_examples": 40398}, {"name": "validation", "num_bytes": 481703, "num_examples": 1267}, {"name": "test", "num_bytes": 674241, "num_examples": 1767}], "download_size": 5036118, "dataset_size": 16415439}, {"config_name": "winogrande_winogrande_xl_stand_for_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 29799202, "num_examples": 80796}, {"name": "validation", "num_bytes": 941464, "num_examples": 2534}, {"name": "test", "num_bytes": 1317161, "num_examples": 3534}], "download_size": 7352127, "dataset_size": 32057827}, {"config_name": "winogrande_winogrande_xl_underscore_refer_to", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 15703873, "num_examples": 40398}, {"name": "validation", "num_bytes": 495640, "num_examples": 1267}, {"name": "test", "num_bytes": 693678, "num_examples": 1767}], "download_size": 5127188, "dataset_size": 16893191}, {"config_name": "winogrande_winogrande_xl_underscore_refer_to_score_eval", "features": [{"name": "idx", "sequence": "int32"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "is_correct", "dtype": "bool"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}, {"name": "weight", "dtype": "float32"}], "splits": [{"name": "train", "num_bytes": 30526366, "num_examples": 80796}, {"name": "validation", "num_bytes": 964270, "num_examples": 2534}, {"name": "test", "num_bytes": 1348967, "num_examples": 3534}], "download_size": 7446677, "dataset_size": 32839603}, {"config_name": "wiqa_does_the_supposed_perturbation_have_an_effect", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32441234, "num_examples": 29808}, {"name": "validation", "num_bytes": 7194477, "num_examples": 6894}, {"name": "test", "num_bytes": 2993752, "num_examples": 3003}], "download_size": 12078412, "dataset_size": 42629463}, {"config_name": "wiqa_effect_with_label_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 29887682, "num_examples": 29808}, {"name": "validation", "num_bytes": 6603891, "num_examples": 6894}, {"name": "test", "num_bytes": 2736749, "num_examples": 3003}], "download_size": 11641512, "dataset_size": 39228322}, {"config_name": "wiqa_effect_with_string_answer", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 32719442, "num_examples": 29808}, {"name": "validation", "num_bytes": 7258821, "num_examples": 6894}, {"name": "test", "num_bytes": 3024320, "num_examples": 3003}], "download_size": 12120728, "dataset_size": 43002583}, {"config_name": "wiqa_what_is_the_final_step_of_the_following_process", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22534752, "num_examples": 29808}, {"name": "validation", "num_bytes": 4960056, "num_examples": 6894}, {"name": "test", "num_bytes": 2018929, "num_examples": 3003}], "download_size": 4993958, "dataset_size": 29513737}, {"config_name": "wiqa_what_is_the_missing_first_step", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22948121, "num_examples": 29808}, {"name": "validation", "num_bytes": 5051961, "num_examples": 6894}, {"name": "test", "num_bytes": 2060388, "num_examples": 3003}], "download_size": 5012113, "dataset_size": 30060470}, {"config_name": "wiqa_what_might_be_the_first_step_of_the_process", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22471193, "num_examples": 29808}, {"name": "validation", "num_bytes": 4941657, "num_examples": 6894}, {"name": "test", "num_bytes": 2012340, "num_examples": 3003}], "download_size": 4994981, "dataset_size": 29425190}, {"config_name": "wiqa_what_might_be_the_last_step_of_the_process", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 22415520, "num_examples": 29808}, {"name": "validation", "num_bytes": 4932480, "num_examples": 6894}, {"name": "test", "num_bytes": 2006917, "num_examples": 3003}], "download_size": 4998002, "dataset_size": 29354917}, {"config_name": "wiqa_which_of_the_following_is_the_supposed_perturbation", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 38964516, "num_examples": 29808}, {"name": "validation", "num_bytes": 8703251, "num_examples": 6894}, {"name": "test", "num_bytes": 3649318, "num_examples": 3003}], "download_size": 12726852, "dataset_size": 51317085}, {"config_name": "xsum_DOC_boils_down_to_simple_idea_that", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 671037016, "num_examples": 204045}, {"name": "validation", "num_bytes": 37260538, "num_examples": 11332}, {"name": "test", "num_bytes": 37363789, "num_examples": 11334}], "download_size": 423515211, "dataset_size": 745661343}, {"config_name": "xsum_DOC_given_above_write_one_sentence", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 680219041, "num_examples": 204045}, {"name": "validation", "num_bytes": 37770478, "num_examples": 11332}, {"name": "test", "num_bytes": 37873819, "num_examples": 11334}], "download_size": 425884310, "dataset_size": 755863338}, {"config_name": "xsum_DOC_how_would_you_rephrase_few_words", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 675117916, "num_examples": 204045}, {"name": "validation", "num_bytes": 37487178, "num_examples": 11332}, {"name": "test", "num_bytes": 37590469, "num_examples": 11334}], "download_size": 424419611, "dataset_size": 750195563}, {"config_name": "xsum_DOC_tldr", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 661242856, "num_examples": 204045}, {"name": "validation", "num_bytes": 36716602, "num_examples": 11332}, {"name": "test", "num_bytes": 36819757, "num_examples": 11334}], "download_size": 421356084, "dataset_size": 734779215}, {"config_name": "xsum_DOC_write_summary_of_above", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 674709826, "num_examples": 204045}, {"name": "validation", "num_bytes": 37464514, "num_examples": 11332}, {"name": "test", "num_bytes": 37567801, "num_examples": 11334}], "download_size": 424257912, "dataset_size": 749742141}, {"config_name": "xsum_article_DOC_summary", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 662671171, "num_examples": 204045}, {"name": "validation", "num_bytes": 36795926, "num_examples": 11332}, {"name": "test", "num_bytes": 36899095, "num_examples": 11334}], "download_size": 421436849, "dataset_size": 736366192}, {"config_name": "xsum_college_roommate_asked_DOC_so_I_recap", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 693890056, "num_examples": 204045}, {"name": "validation", "num_bytes": 38529722, "num_examples": 11332}, {"name": "test", "num_bytes": 38633197, "num_examples": 11334}], "download_size": 428092027, "dataset_size": 771052975}, {"config_name": "xsum_read_below_DOC_write_abstract", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 692869831, "num_examples": 204045}, {"name": "validation", "num_bytes": 38473062, "num_examples": 11332}, {"name": "test", "num_bytes": 38576527, "num_examples": 11334}], "download_size": 427949570, "dataset_size": 769919420}, {"config_name": "xsum_summarize_DOC", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 660834766, "num_examples": 204045}, {"name": "validation", "num_bytes": 36693938, "num_examples": 11332}, {"name": "test", "num_bytes": 36797089, "num_examples": 11334}], "download_size": 420917086, "dataset_size": 734325793}, {"config_name": "xsum_summarize_this_DOC_summary", "features": [{"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 668996566, "num_examples": 204045}, {"name": "validation", "num_bytes": 37147218, "num_examples": 11332}, {"name": "test", "num_bytes": 37250449, "num_examples": 11334}], "download_size": 423104781, "dataset_size": 743394233}, {"config_name": "yelp_review_full_based_on_that", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1031638858, "num_examples": 650000}, {"name": "test", "num_bytes": 79418916, "num_examples": 50000}], "download_size": 556617412, "dataset_size": 1111057774}, {"config_name": "yelp_review_full_format_rating", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1019288862, "num_examples": 650000}, {"name": "test", "num_bytes": 78468916, "num_examples": 50000}], "download_size": 556205049, "dataset_size": 1097757778}, {"config_name": "yelp_review_full_format_score", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1020718862, "num_examples": 650000}, {"name": "test", "num_bytes": 78578916, "num_examples": 50000}], "download_size": 557789138, "dataset_size": 1099297778}, {"config_name": "yelp_review_full_format_star", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1014088862, "num_examples": 650000}, {"name": "test", "num_bytes": 78068916, "num_examples": 50000}], "download_size": 555578441, "dataset_size": 1092157778}, {"config_name": "yelp_review_full_on_a_scale", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1035018858, "num_examples": 650000}, {"name": "test", "num_bytes": 79678916, "num_examples": 50000}], "download_size": 557874177, "dataset_size": 1114697774}, {"config_name": "yelp_review_full_so_i_would", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1020588858, "num_examples": 650000}, {"name": "test", "num_bytes": 78568916, "num_examples": 50000}], "download_size": 555669482, "dataset_size": 1099157774}, {"config_name": "yelp_review_full_this_place", "features": [{"name": "answer_choices", "sequence": "string"}, {"name": "inputs", "sequence": "int32"}, {"name": "inputs_pretokenized", "dtype": "string"}, {"name": "targets", "sequence": "int32"}, {"name": "targets_pretokenized", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1018638858, "num_examples": 650000}, {"name": "test", "num_bytes": 78418916, "num_examples": 50000}], "download_size": 555640691, "dataset_size": 1097057774}], "configs": [{"config_name": "adversarial_qa_dbert_answer_the_following_q", "data_files": [{"split": "train", "path": "adversarial_qa_dbert_answer_the_following_q/train-*"}, {"split": "validation", "path": "adversarial_qa_dbert_answer_the_following_q/validation-*"}]}, {"config_name": "adversarial_qa_dbert_based_on", "data_files": [{"split": "train", "path": "adversarial_qa_dbert_based_on/train-*"}, {"split": "validation", "path": "adversarial_qa_dbert_based_on/validation-*"}]}, {"config_name": "adversarial_qa_dbert_generate_question", "data_files": [{"split": "train", "path": "adversarial_qa_dbert_generate_question/train-*"}, {"split": "validation", "path": "adversarial_qa_dbert_generate_question/validation-*"}, {"split": "test", "path": "adversarial_qa_dbert_generate_question/test-*"}]}, {"config_name": "adversarial_qa_dbert_question_context_answer", "data_files": [{"split": "train", "path": "adversarial_qa_dbert_question_context_answer/train-*"}, {"split": "validation", "path": "adversarial_qa_dbert_question_context_answer/validation-*"}]}, {"config_name": "adversarial_qa_dbert_tell_what_it_is", "data_files": [{"split": "train", "path": "adversarial_qa_dbert_tell_what_it_is/train-*"}, {"split": "validation", "path": "adversarial_qa_dbert_tell_what_it_is/validation-*"}]}, {"config_name": "adversarial_qa_dbidaf_answer_the_following_q", "data_files": [{"split": "train", "path": "adversarial_qa_dbidaf_answer_the_following_q/train-*"}, {"split": "validation", "path": "adversarial_qa_dbidaf_answer_the_following_q/validation-*"}]}, {"config_name": "adversarial_qa_dbidaf_based_on", "data_files": [{"split": "train", "path": "adversarial_qa_dbidaf_based_on/train-*"}, {"split": "validation", "path": "adversarial_qa_dbidaf_based_on/validation-*"}]}, {"config_name": "adversarial_qa_dbidaf_generate_question", "data_files": [{"split": "train", "path": "adversarial_qa_dbidaf_generate_question/train-*"}, {"split": "validation", "path": "adversarial_qa_dbidaf_generate_question/validation-*"}, {"split": "test", "path": "adversarial_qa_dbidaf_generate_question/test-*"}]}, {"config_name": "adversarial_qa_dbidaf_question_context_answer", "data_files": [{"split": "train", "path": "adversarial_qa_dbidaf_question_context_answer/train-*"}, {"split": "validation", "path": "adversarial_qa_dbidaf_question_context_answer/validation-*"}]}, {"config_name": "adversarial_qa_dbidaf_tell_what_it_is", "data_files": [{"split": "train", "path": "adversarial_qa_dbidaf_tell_what_it_is/train-*"}, {"split": "validation", "path": "adversarial_qa_dbidaf_tell_what_it_is/validation-*"}]}, {"config_name": "adversarial_qa_droberta_answer_the_following_q", "data_files": [{"split": "train", "path": "adversarial_qa_droberta_answer_the_following_q/train-*"}, {"split": "validation", "path": "adversarial_qa_droberta_answer_the_following_q/validation-*"}]}, {"config_name": "adversarial_qa_droberta_based_on", "data_files": [{"split": "train", "path": "adversarial_qa_droberta_based_on/train-*"}, {"split": "validation", "path": "adversarial_qa_droberta_based_on/validation-*"}]}, {"config_name": "adversarial_qa_droberta_generate_question", "data_files": [{"split": "train", "path": "adversarial_qa_droberta_generate_question/train-*"}, {"split": "validation", "path": "adversarial_qa_droberta_generate_question/validation-*"}, {"split": "test", "path": "adversarial_qa_droberta_generate_question/test-*"}]}, {"config_name": "adversarial_qa_droberta_question_context_answer", "data_files": [{"split": "train", "path": "adversarial_qa_droberta_question_context_answer/train-*"}, {"split": "validation", "path": "adversarial_qa_droberta_question_context_answer/validation-*"}]}, {"config_name": "adversarial_qa_droberta_tell_what_it_is", "data_files": [{"split": "train", "path": "adversarial_qa_droberta_tell_what_it_is/train-*"}, {"split": "validation", "path": "adversarial_qa_droberta_tell_what_it_is/validation-*"}]}, {"config_name": "ag_news_classify", "data_files": [{"split": "train", "path": "ag_news_classify/train-*"}, {"split": "test", "path": "ag_news_classify/test-*"}]}, {"config_name": "ag_news_classify_question_first", "data_files": [{"split": "train", "path": "ag_news_classify_question_first/train-*"}, {"split": "test", "path": "ag_news_classify_question_first/test-*"}]}, {"config_name": "ag_news_classify_with_choices", "data_files": [{"split": "train", "path": "ag_news_classify_with_choices/train-*"}, {"split": "test", "path": "ag_news_classify_with_choices/test-*"}]}, {"config_name": "ag_news_classify_with_choices_question_first", "data_files": [{"split": "train", "path": "ag_news_classify_with_choices_question_first/train-*"}, {"split": "test", "path": "ag_news_classify_with_choices_question_first/test-*"}]}, {"config_name": "ag_news_recommend", "data_files": [{"split": "train", "path": "ag_news_recommend/train-*"}, {"split": "test", "path": "ag_news_recommend/test-*"}]}, {"config_name": "ag_news_which_section", "data_files": [{"split": "train", "path": "ag_news_which_section/train-*"}, {"split": "test", "path": "ag_news_which_section/test-*"}]}, {"config_name": "ag_news_which_section_choices", "data_files": [{"split": "train", "path": "ag_news_which_section_choices/train-*"}, {"split": "test", "path": "ag_news_which_section_choices/test-*"}]}, {"config_name": "ai2_arc_ARC_Challenge_heres_a_problem", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Challenge_heres_a_problem/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Challenge_heres_a_problem/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Challenge_heres_a_problem/test-*"}]}, {"config_name": "ai2_arc_ARC_Challenge_i_am_hesitating", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Challenge_i_am_hesitating/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Challenge_i_am_hesitating/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Challenge_i_am_hesitating/test-*"}]}, {"config_name": "ai2_arc_ARC_Challenge_multiple_choice", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Challenge_multiple_choice/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Challenge_multiple_choice/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Challenge_multiple_choice/test-*"}]}, {"config_name": "ai2_arc_ARC_Challenge_pick_false_options", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Challenge_pick_false_options/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Challenge_pick_false_options/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Challenge_pick_false_options/test-*"}]}, {"config_name": "ai2_arc_ARC_Challenge_pick_the_most_correct_option", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Challenge_pick_the_most_correct_option/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Challenge_pick_the_most_correct_option/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Challenge_pick_the_most_correct_option/test-*"}]}, {"config_name": "ai2_arc_ARC_Challenge_qa_options", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Challenge_qa_options/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Challenge_qa_options/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Challenge_qa_options/test-*"}]}, {"config_name": "ai2_arc_ARC_Easy_heres_a_problem", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Easy_heres_a_problem/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Easy_heres_a_problem/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Easy_heres_a_problem/test-*"}]}, {"config_name": "ai2_arc_ARC_Easy_i_am_hesitating", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Easy_i_am_hesitating/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Easy_i_am_hesitating/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Easy_i_am_hesitating/test-*"}]}, {"config_name": "ai2_arc_ARC_Easy_multiple_choice", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Easy_multiple_choice/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Easy_multiple_choice/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Easy_multiple_choice/test-*"}]}, {"config_name": "ai2_arc_ARC_Easy_pick_false_options", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Easy_pick_false_options/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Easy_pick_false_options/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Easy_pick_false_options/test-*"}]}, {"config_name": "ai2_arc_ARC_Easy_pick_the_most_correct_option", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Easy_pick_the_most_correct_option/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Easy_pick_the_most_correct_option/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Easy_pick_the_most_correct_option/test-*"}]}, {"config_name": "ai2_arc_ARC_Easy_qa_options", "data_files": [{"split": "train", "path": "ai2_arc_ARC_Easy_qa_options/train-*"}, {"split": "validation", "path": "ai2_arc_ARC_Easy_qa_options/validation-*"}, {"split": "test", "path": "ai2_arc_ARC_Easy_qa_options/test-*"}]}, {"config_name": "amazon_polarity_Is_this_product_review_positive", "data_files": [{"split": "train", "path": "amazon_polarity_Is_this_product_review_positive/train-*"}, {"split": "test", "path": "amazon_polarity_Is_this_product_review_positive/test-*"}]}, {"config_name": "amazon_polarity_Is_this_review", "data_files": [{"split": "train", "path": "amazon_polarity_Is_this_review/train-*"}, {"split": "test", "path": "amazon_polarity_Is_this_review/test-*"}]}, {"config_name": "amazon_polarity_Is_this_review_negative", "data_files": [{"split": "train", "path": "amazon_polarity_Is_this_review_negative/train-*"}, {"split": "test", "path": "amazon_polarity_Is_this_review_negative/test-*"}]}, {"config_name": "amazon_polarity_User_recommend_this_product", "data_files": [{"split": "train", "path": "amazon_polarity_User_recommend_this_product/train-*"}, {"split": "test", "path": "amazon_polarity_User_recommend_this_product/test-*"}]}, {"config_name": "amazon_polarity_convey_negative_or_positive_sentiment", "data_files": [{"split": "train", "path": "amazon_polarity_convey_negative_or_positive_sentiment/train-*"}, {"split": "test", "path": "amazon_polarity_convey_negative_or_positive_sentiment/test-*"}]}, {"config_name": "amazon_polarity_flattering_or_not", "data_files": [{"split": "train", "path": "amazon_polarity_flattering_or_not/train-*"}, {"split": "test", "path": "amazon_polarity_flattering_or_not/test-*"}]}, {"config_name": "amazon_polarity_negative_or_positive_tone", "data_files": [{"split": "train", "path": "amazon_polarity_negative_or_positive_tone/train-*"}, {"split": "test", "path": "amazon_polarity_negative_or_positive_tone/test-*"}]}, {"config_name": "amazon_polarity_user_satisfied", "data_files": [{"split": "train", "path": "amazon_polarity_user_satisfied/train-*"}, {"split": "test", "path": "amazon_polarity_user_satisfied/test-*"}]}, {"config_name": "amazon_polarity_would_you_buy", "data_files": [{"split": "train", "path": "amazon_polarity_would_you_buy/train-*"}, {"split": "test", "path": "amazon_polarity_would_you_buy/test-*"}]}, {"config_name": "anli_GPT_3_style_r1", "data_files": [{"split": "train", "path": "anli_GPT_3_style_r1/train-*"}, {"split": "validation", "path": "anli_GPT_3_style_r1/validation-*"}, {"split": "test", "path": "anli_GPT_3_style_r1/test-*"}]}, {"config_name": "anli_GPT_3_style_r1_score_eval", "data_files": [{"split": "train", "path": "anli_GPT_3_style_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_GPT_3_style_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_GPT_3_style_r1_score_eval/test-*"}]}, {"config_name": "anli_GPT_3_style_r2", "data_files": [{"split": "train", "path": "anli_GPT_3_style_r2/train-*"}, {"split": "validation", "path": "anli_GPT_3_style_r2/validation-*"}, {"split": "test", "path": "anli_GPT_3_style_r2/test-*"}]}, {"config_name": "anli_GPT_3_style_r2_score_eval", "data_files": [{"split": "train", "path": "anli_GPT_3_style_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_GPT_3_style_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_GPT_3_style_r2_score_eval/test-*"}]}, {"config_name": "anli_GPT_3_style_r3", "data_files": [{"split": "train", "path": "anli_GPT_3_style_r3/train-*"}, {"split": "validation", "path": "anli_GPT_3_style_r3/validation-*"}, {"split": "test", "path": "anli_GPT_3_style_r3/test-*"}]}, {"config_name": "anli_GPT_3_style_r3_score_eval", "data_files": [{"split": "train", "path": "anli_GPT_3_style_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_GPT_3_style_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_GPT_3_style_r3_score_eval/test-*"}]}, {"config_name": "anli_MNLI_crowdsource_r1", "data_files": [{"split": "train", "path": "anli_MNLI_crowdsource_r1/train-*"}, {"split": "validation", "path": "anli_MNLI_crowdsource_r1/validation-*"}, {"split": "test", "path": "anli_MNLI_crowdsource_r1/test-*"}]}, {"config_name": "anli_MNLI_crowdsource_r1_score_eval", "data_files": [{"split": "train", "path": "anli_MNLI_crowdsource_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_MNLI_crowdsource_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_MNLI_crowdsource_r1_score_eval/test-*"}]}, {"config_name": "anli_MNLI_crowdsource_r2", "data_files": [{"split": "train", "path": "anli_MNLI_crowdsource_r2/train-*"}, {"split": "validation", "path": "anli_MNLI_crowdsource_r2/validation-*"}, {"split": "test", "path": "anli_MNLI_crowdsource_r2/test-*"}]}, {"config_name": "anli_MNLI_crowdsource_r2_score_eval", "data_files": [{"split": "train", "path": "anli_MNLI_crowdsource_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_MNLI_crowdsource_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_MNLI_crowdsource_r2_score_eval/test-*"}]}, {"config_name": "anli_MNLI_crowdsource_r3", "data_files": [{"split": "train", "path": "anli_MNLI_crowdsource_r3/train-*"}, {"split": "validation", "path": "anli_MNLI_crowdsource_r3/validation-*"}, {"split": "test", "path": "anli_MNLI_crowdsource_r3/test-*"}]}, {"config_name": "anli_MNLI_crowdsource_r3_score_eval", "data_files": [{"split": "train", "path": "anli_MNLI_crowdsource_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_MNLI_crowdsource_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_MNLI_crowdsource_r3_score_eval/test-*"}]}, {"config_name": "anli_always_sometimes_never_r1", "data_files": [{"split": "train", "path": "anli_always_sometimes_never_r1/train-*"}, {"split": "validation", "path": "anli_always_sometimes_never_r1/validation-*"}, {"split": "test", "path": "anli_always_sometimes_never_r1/test-*"}]}, {"config_name": "anli_always_sometimes_never_r1_score_eval", "data_files": [{"split": "train", "path": "anli_always_sometimes_never_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_always_sometimes_never_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_always_sometimes_never_r1_score_eval/test-*"}]}, {"config_name": "anli_always_sometimes_never_r2", "data_files": [{"split": "train", "path": "anli_always_sometimes_never_r2/train-*"}, {"split": "validation", "path": "anli_always_sometimes_never_r2/validation-*"}, {"split": "test", "path": "anli_always_sometimes_never_r2/test-*"}]}, {"config_name": "anli_always_sometimes_never_r2_score_eval", "data_files": [{"split": "train", "path": "anli_always_sometimes_never_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_always_sometimes_never_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_always_sometimes_never_r2_score_eval/test-*"}]}, {"config_name": "anli_always_sometimes_never_r3", "data_files": [{"split": "train", "path": "anli_always_sometimes_never_r3/train-*"}, {"split": "validation", "path": "anli_always_sometimes_never_r3/validation-*"}, {"split": "test", "path": "anli_always_sometimes_never_r3/test-*"}]}, {"config_name": "anli_always_sometimes_never_r3_score_eval", "data_files": [{"split": "train", "path": "anli_always_sometimes_never_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_always_sometimes_never_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_always_sometimes_never_r3_score_eval/test-*"}]}, {"config_name": "anli_based_on_the_previous_passage_r1", "data_files": [{"split": "train", "path": "anli_based_on_the_previous_passage_r1/train-*"}, {"split": "validation", "path": "anli_based_on_the_previous_passage_r1/validation-*"}, {"split": "test", "path": "anli_based_on_the_previous_passage_r1/test-*"}]}, {"config_name": "anli_based_on_the_previous_passage_r1_score_eval", "data_files": [{"split": "train", "path": "anli_based_on_the_previous_passage_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_based_on_the_previous_passage_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_based_on_the_previous_passage_r1_score_eval/test-*"}]}, {"config_name": "anli_based_on_the_previous_passage_r2", "data_files": [{"split": "train", "path": "anli_based_on_the_previous_passage_r2/train-*"}, {"split": "validation", "path": "anli_based_on_the_previous_passage_r2/validation-*"}, {"split": "test", "path": "anli_based_on_the_previous_passage_r2/test-*"}]}, {"config_name": "anli_based_on_the_previous_passage_r2_score_eval", "data_files": [{"split": "train", "path": "anli_based_on_the_previous_passage_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_based_on_the_previous_passage_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_based_on_the_previous_passage_r2_score_eval/test-*"}]}, {"config_name": "anli_based_on_the_previous_passage_r3", "data_files": [{"split": "train", "path": "anli_based_on_the_previous_passage_r3/train-*"}, {"split": "validation", "path": "anli_based_on_the_previous_passage_r3/validation-*"}, {"split": "test", "path": "anli_based_on_the_previous_passage_r3/test-*"}]}, {"config_name": "anli_based_on_the_previous_passage_r3_score_eval", "data_files": [{"split": "train", "path": "anli_based_on_the_previous_passage_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_based_on_the_previous_passage_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_based_on_the_previous_passage_r3_score_eval/test-*"}]}, {"config_name": "anli_can_we_infer_r1", "data_files": [{"split": "train", "path": "anli_can_we_infer_r1/train-*"}, {"split": "validation", "path": "anli_can_we_infer_r1/validation-*"}, {"split": "test", "path": "anli_can_we_infer_r1/test-*"}]}, {"config_name": "anli_can_we_infer_r1_score_eval", "data_files": [{"split": "train", "path": "anli_can_we_infer_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_can_we_infer_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_can_we_infer_r1_score_eval/test-*"}]}, {"config_name": "anli_can_we_infer_r2", "data_files": [{"split": "train", "path": "anli_can_we_infer_r2/train-*"}, {"split": "validation", "path": "anli_can_we_infer_r2/validation-*"}, {"split": "test", "path": "anli_can_we_infer_r2/test-*"}]}, {"config_name": "anli_can_we_infer_r2_score_eval", "data_files": [{"split": "train", "path": "anli_can_we_infer_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_can_we_infer_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_can_we_infer_r2_score_eval/test-*"}]}, {"config_name": "anli_can_we_infer_r3", "data_files": [{"split": "train", "path": "anli_can_we_infer_r3/train-*"}, {"split": "validation", "path": "anli_can_we_infer_r3/validation-*"}, {"split": "test", "path": "anli_can_we_infer_r3/test-*"}]}, {"config_name": "anli_can_we_infer_r3_score_eval", "data_files": [{"split": "train", "path": "anli_can_we_infer_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_can_we_infer_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_can_we_infer_r3_score_eval/test-*"}]}, {"config_name": "anli_claim_true_false_inconclusive_r1", "data_files": [{"split": "train", "path": "anli_claim_true_false_inconclusive_r1/train-*"}, {"split": "validation", "path": "anli_claim_true_false_inconclusive_r1/validation-*"}, {"split": "test", "path": "anli_claim_true_false_inconclusive_r1/test-*"}]}, {"config_name": "anli_claim_true_false_inconclusive_r1_score_eval", "data_files": [{"split": "train", "path": "anli_claim_true_false_inconclusive_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_claim_true_false_inconclusive_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_claim_true_false_inconclusive_r1_score_eval/test-*"}]}, {"config_name": "anli_claim_true_false_inconclusive_r2", "data_files": [{"split": "train", "path": "anli_claim_true_false_inconclusive_r2/train-*"}, {"split": "validation", "path": "anli_claim_true_false_inconclusive_r2/validation-*"}, {"split": "test", "path": "anli_claim_true_false_inconclusive_r2/test-*"}]}, {"config_name": "anli_claim_true_false_inconclusive_r2_score_eval", "data_files": [{"split": "train", "path": "anli_claim_true_false_inconclusive_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_claim_true_false_inconclusive_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_claim_true_false_inconclusive_r2_score_eval/test-*"}]}, {"config_name": "anli_claim_true_false_inconclusive_r3", "data_files": [{"split": "train", "path": "anli_claim_true_false_inconclusive_r3/train-*"}, {"split": "validation", "path": "anli_claim_true_false_inconclusive_r3/validation-*"}, {"split": "test", "path": "anli_claim_true_false_inconclusive_r3/test-*"}]}, {"config_name": "anli_claim_true_false_inconclusive_r3_score_eval", "data_files": [{"split": "train", "path": "anli_claim_true_false_inconclusive_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_claim_true_false_inconclusive_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_claim_true_false_inconclusive_r3_score_eval/test-*"}]}, {"config_name": "anli_consider_always_sometimes_never_r1", "data_files": [{"split": "train", "path": "anli_consider_always_sometimes_never_r1/train-*"}, {"split": "validation", "path": "anli_consider_always_sometimes_never_r1/validation-*"}, {"split": "test", "path": "anli_consider_always_sometimes_never_r1/test-*"}]}, {"config_name": "anli_consider_always_sometimes_never_r1_score_eval", "data_files": [{"split": "train", "path": "anli_consider_always_sometimes_never_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_consider_always_sometimes_never_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_consider_always_sometimes_never_r1_score_eval/test-*"}]}, {"config_name": "anli_consider_always_sometimes_never_r2", "data_files": [{"split": "train", "path": "anli_consider_always_sometimes_never_r2/train-*"}, {"split": "validation", "path": "anli_consider_always_sometimes_never_r2/validation-*"}, {"split": "test", "path": "anli_consider_always_sometimes_never_r2/test-*"}]}, {"config_name": "anli_consider_always_sometimes_never_r2_score_eval", "data_files": [{"split": "train", "path": "anli_consider_always_sometimes_never_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_consider_always_sometimes_never_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_consider_always_sometimes_never_r2_score_eval/test-*"}]}, {"config_name": "anli_consider_always_sometimes_never_r3", "data_files": [{"split": "train", "path": "anli_consider_always_sometimes_never_r3/train-*"}, {"split": "validation", "path": "anli_consider_always_sometimes_never_r3/validation-*"}, {"split": "test", "path": "anli_consider_always_sometimes_never_r3/test-*"}]}, {"config_name": "anli_consider_always_sometimes_never_r3_score_eval", "data_files": [{"split": "train", "path": "anli_consider_always_sometimes_never_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_consider_always_sometimes_never_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_consider_always_sometimes_never_r3_score_eval/test-*"}]}, {"config_name": "anli_does_it_follow_that_r1", "data_files": [{"split": "train", "path": "anli_does_it_follow_that_r1/train-*"}, {"split": "validation", "path": "anli_does_it_follow_that_r1/validation-*"}, {"split": "test", "path": "anli_does_it_follow_that_r1/test-*"}]}, {"config_name": "anli_does_it_follow_that_r1_score_eval", "data_files": [{"split": "train", "path": "anli_does_it_follow_that_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_does_it_follow_that_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_does_it_follow_that_r1_score_eval/test-*"}]}, {"config_name": "anli_does_it_follow_that_r2", "data_files": [{"split": "train", "path": "anli_does_it_follow_that_r2/train-*"}, {"split": "validation", "path": "anli_does_it_follow_that_r2/validation-*"}, {"split": "test", "path": "anli_does_it_follow_that_r2/test-*"}]}, {"config_name": "anli_does_it_follow_that_r2_score_eval", "data_files": [{"split": "train", "path": "anli_does_it_follow_that_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_does_it_follow_that_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_does_it_follow_that_r2_score_eval/test-*"}]}, {"config_name": "anli_does_it_follow_that_r3", "data_files": [{"split": "train", "path": "anli_does_it_follow_that_r3/train-*"}, {"split": "validation", "path": "anli_does_it_follow_that_r3/validation-*"}, {"split": "test", "path": "anli_does_it_follow_that_r3/test-*"}]}, {"config_name": "anli_does_it_follow_that_r3_score_eval", "data_files": [{"split": "train", "path": "anli_does_it_follow_that_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_does_it_follow_that_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_does_it_follow_that_r3_score_eval/test-*"}]}, {"config_name": "anli_does_this_imply_r1", "data_files": [{"split": "train", "path": "anli_does_this_imply_r1/train-*"}, {"split": "validation", "path": "anli_does_this_imply_r1/validation-*"}, {"split": "test", "path": "anli_does_this_imply_r1/test-*"}]}, {"config_name": "anli_does_this_imply_r1_score_eval", "data_files": [{"split": "train", "path": "anli_does_this_imply_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_does_this_imply_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_does_this_imply_r1_score_eval/test-*"}]}, {"config_name": "anli_does_this_imply_r2", "data_files": [{"split": "train", "path": "anli_does_this_imply_r2/train-*"}, {"split": "validation", "path": "anli_does_this_imply_r2/validation-*"}, {"split": "test", "path": "anli_does_this_imply_r2/test-*"}]}, {"config_name": "anli_does_this_imply_r2_score_eval", "data_files": [{"split": "train", "path": "anli_does_this_imply_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_does_this_imply_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_does_this_imply_r2_score_eval/test-*"}]}, {"config_name": "anli_does_this_imply_r3", "data_files": [{"split": "train", "path": "anli_does_this_imply_r3/train-*"}, {"split": "validation", "path": "anli_does_this_imply_r3/validation-*"}, {"split": "test", "path": "anli_does_this_imply_r3/test-*"}]}, {"config_name": "anli_does_this_imply_r3_score_eval", "data_files": [{"split": "train", "path": "anli_does_this_imply_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_does_this_imply_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_does_this_imply_r3_score_eval/test-*"}]}, {"config_name": "anli_guaranteed_possible_impossible_r1", "data_files": [{"split": "train", "path": "anli_guaranteed_possible_impossible_r1/train-*"}, {"split": "validation", "path": "anli_guaranteed_possible_impossible_r1/validation-*"}, {"split": "test", "path": "anli_guaranteed_possible_impossible_r1/test-*"}]}, {"config_name": "anli_guaranteed_possible_impossible_r1_score_eval", "data_files": [{"split": "train", "path": "anli_guaranteed_possible_impossible_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_guaranteed_possible_impossible_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_guaranteed_possible_impossible_r1_score_eval/test-*"}]}, {"config_name": "anli_guaranteed_possible_impossible_r2", "data_files": [{"split": "train", "path": "anli_guaranteed_possible_impossible_r2/train-*"}, {"split": "validation", "path": "anli_guaranteed_possible_impossible_r2/validation-*"}, {"split": "test", "path": "anli_guaranteed_possible_impossible_r2/test-*"}]}, {"config_name": "anli_guaranteed_possible_impossible_r2_score_eval", "data_files": [{"split": "train", "path": "anli_guaranteed_possible_impossible_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_guaranteed_possible_impossible_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_guaranteed_possible_impossible_r2_score_eval/test-*"}]}, {"config_name": "anli_guaranteed_possible_impossible_r3", "data_files": [{"split": "train", "path": "anli_guaranteed_possible_impossible_r3/train-*"}, {"split": "validation", "path": "anli_guaranteed_possible_impossible_r3/validation-*"}, {"split": "test", "path": "anli_guaranteed_possible_impossible_r3/test-*"}]}, {"config_name": "anli_guaranteed_possible_impossible_r3_score_eval", "data_files": [{"split": "train", "path": "anli_guaranteed_possible_impossible_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_guaranteed_possible_impossible_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_guaranteed_possible_impossible_r3_score_eval/test-*"}]}, {"config_name": "anli_guaranteed_true_r1", "data_files": [{"split": "train", "path": "anli_guaranteed_true_r1/train-*"}, {"split": "validation", "path": "anli_guaranteed_true_r1/validation-*"}, {"split": "test", "path": "anli_guaranteed_true_r1/test-*"}]}, {"config_name": "anli_guaranteed_true_r1_score_eval", "data_files": [{"split": "train", "path": "anli_guaranteed_true_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_guaranteed_true_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_guaranteed_true_r1_score_eval/test-*"}]}, {"config_name": "anli_guaranteed_true_r2", "data_files": [{"split": "train", "path": "anli_guaranteed_true_r2/train-*"}, {"split": "validation", "path": "anli_guaranteed_true_r2/validation-*"}, {"split": "test", "path": "anli_guaranteed_true_r2/test-*"}]}, {"config_name": "anli_guaranteed_true_r2_score_eval", "data_files": [{"split": "train", "path": "anli_guaranteed_true_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_guaranteed_true_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_guaranteed_true_r2_score_eval/test-*"}]}, {"config_name": "anli_guaranteed_true_r3", "data_files": [{"split": "train", "path": "anli_guaranteed_true_r3/train-*"}, {"split": "validation", "path": "anli_guaranteed_true_r3/validation-*"}, {"split": "test", "path": "anli_guaranteed_true_r3/test-*"}]}, {"config_name": "anli_guaranteed_true_r3_score_eval", "data_files": [{"split": "train", "path": "anli_guaranteed_true_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_guaranteed_true_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_guaranteed_true_r3_score_eval/test-*"}]}, {"config_name": "anli_justified_in_saying_r1", "data_files": [{"split": "train", "path": "anli_justified_in_saying_r1/train-*"}, {"split": "validation", "path": "anli_justified_in_saying_r1/validation-*"}, {"split": "test", "path": "anli_justified_in_saying_r1/test-*"}]}, {"config_name": "anli_justified_in_saying_r1_score_eval", "data_files": [{"split": "train", "path": "anli_justified_in_saying_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_justified_in_saying_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_justified_in_saying_r1_score_eval/test-*"}]}, {"config_name": "anli_justified_in_saying_r2", "data_files": [{"split": "train", "path": "anli_justified_in_saying_r2/train-*"}, {"split": "validation", "path": "anli_justified_in_saying_r2/validation-*"}, {"split": "test", "path": "anli_justified_in_saying_r2/test-*"}]}, {"config_name": "anli_justified_in_saying_r2_score_eval", "data_files": [{"split": "train", "path": "anli_justified_in_saying_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_justified_in_saying_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_justified_in_saying_r2_score_eval/test-*"}]}, {"config_name": "anli_justified_in_saying_r3", "data_files": [{"split": "train", "path": "anli_justified_in_saying_r3/train-*"}, {"split": "validation", "path": "anli_justified_in_saying_r3/validation-*"}, {"split": "test", "path": "anli_justified_in_saying_r3/test-*"}]}, {"config_name": "anli_justified_in_saying_r3_score_eval", "data_files": [{"split": "train", "path": "anli_justified_in_saying_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_justified_in_saying_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_justified_in_saying_r3_score_eval/test-*"}]}, {"config_name": "anli_must_be_true_r1", "data_files": [{"split": "train", "path": "anli_must_be_true_r1/train-*"}, {"split": "validation", "path": "anli_must_be_true_r1/validation-*"}, {"split": "test", "path": "anli_must_be_true_r1/test-*"}]}, {"config_name": "anli_must_be_true_r1_score_eval", "data_files": [{"split": "train", "path": "anli_must_be_true_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_must_be_true_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_must_be_true_r1_score_eval/test-*"}]}, {"config_name": "anli_must_be_true_r2", "data_files": [{"split": "train", "path": "anli_must_be_true_r2/train-*"}, {"split": "validation", "path": "anli_must_be_true_r2/validation-*"}, {"split": "test", "path": "anli_must_be_true_r2/test-*"}]}, {"config_name": "anli_must_be_true_r2_score_eval", "data_files": [{"split": "train", "path": "anli_must_be_true_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_must_be_true_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_must_be_true_r2_score_eval/test-*"}]}, {"config_name": "anli_must_be_true_r3", "data_files": [{"split": "train", "path": "anli_must_be_true_r3/train-*"}, {"split": "validation", "path": "anli_must_be_true_r3/validation-*"}, {"split": "test", "path": "anli_must_be_true_r3/test-*"}]}, {"config_name": "anli_must_be_true_r3_score_eval", "data_files": [{"split": "train", "path": "anli_must_be_true_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_must_be_true_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_must_be_true_r3_score_eval/test-*"}]}, {"config_name": "anli_should_assume_r1", "data_files": [{"split": "train", "path": "anli_should_assume_r1/train-*"}, {"split": "validation", "path": "anli_should_assume_r1/validation-*"}, {"split": "test", "path": "anli_should_assume_r1/test-*"}]}, {"config_name": "anli_should_assume_r1_score_eval", "data_files": [{"split": "train", "path": "anli_should_assume_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_should_assume_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_should_assume_r1_score_eval/test-*"}]}, {"config_name": "anli_should_assume_r2", "data_files": [{"split": "train", "path": "anli_should_assume_r2/train-*"}, {"split": "validation", "path": "anli_should_assume_r2/validation-*"}, {"split": "test", "path": "anli_should_assume_r2/test-*"}]}, {"config_name": "anli_should_assume_r2_score_eval", "data_files": [{"split": "train", "path": "anli_should_assume_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_should_assume_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_should_assume_r2_score_eval/test-*"}]}, {"config_name": "anli_should_assume_r3", "data_files": [{"split": "train", "path": "anli_should_assume_r3/train-*"}, {"split": "validation", "path": "anli_should_assume_r3/validation-*"}, {"split": "test", "path": "anli_should_assume_r3/test-*"}]}, {"config_name": "anli_should_assume_r3_score_eval", "data_files": [{"split": "train", "path": "anli_should_assume_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_should_assume_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_should_assume_r3_score_eval/test-*"}]}, {"config_name": "anli_take_the_following_as_truth_r1", "data_files": [{"split": "train", "path": "anli_take_the_following_as_truth_r1/train-*"}, {"split": "validation", "path": "anli_take_the_following_as_truth_r1/validation-*"}, {"split": "test", "path": "anli_take_the_following_as_truth_r1/test-*"}]}, {"config_name": "anli_take_the_following_as_truth_r1_score_eval", "data_files": [{"split": "train", "path": "anli_take_the_following_as_truth_r1_score_eval/train-*"}, {"split": "validation", "path": "anli_take_the_following_as_truth_r1_score_eval/validation-*"}, {"split": "test", "path": "anli_take_the_following_as_truth_r1_score_eval/test-*"}]}, {"config_name": "anli_take_the_following_as_truth_r2", "data_files": [{"split": "train", "path": "anli_take_the_following_as_truth_r2/train-*"}, {"split": "validation", "path": "anli_take_the_following_as_truth_r2/validation-*"}, {"split": "test", "path": "anli_take_the_following_as_truth_r2/test-*"}]}, {"config_name": "anli_take_the_following_as_truth_r2_score_eval", "data_files": [{"split": "train", "path": "anli_take_the_following_as_truth_r2_score_eval/train-*"}, {"split": "validation", "path": "anli_take_the_following_as_truth_r2_score_eval/validation-*"}, {"split": "test", "path": "anli_take_the_following_as_truth_r2_score_eval/test-*"}]}, {"config_name": "anli_take_the_following_as_truth_r3", "data_files": [{"split": "train", "path": "anli_take_the_following_as_truth_r3/train-*"}, {"split": "validation", "path": "anli_take_the_following_as_truth_r3/validation-*"}, {"split": "test", "path": "anli_take_the_following_as_truth_r3/test-*"}]}, {"config_name": "anli_take_the_following_as_truth_r3_score_eval", "data_files": [{"split": "train", "path": "anli_take_the_following_as_truth_r3_score_eval/train-*"}, {"split": "validation", "path": "anli_take_the_following_as_truth_r3_score_eval/validation-*"}, {"split": "test", "path": "anli_take_the_following_as_truth_r3_score_eval/test-*"}]}, {"config_name": "app_reviews_categorize_rating_using_review", "data_files": [{"split": "train", "path": "app_reviews_categorize_rating_using_review/train-*"}]}, {"config_name": "app_reviews_convert_to_rating", "data_files": [{"split": "train", "path": "app_reviews_convert_to_rating/train-*"}]}, {"config_name": "app_reviews_convert_to_star_rating", "data_files": [{"split": "train", "path": "app_reviews_convert_to_star_rating/train-*"}]}, {"config_name": "app_reviews_generate_review", "data_files": [{"split": "train", "path": "app_reviews_generate_review/train-*"}]}, {"config_name": "cnn_dailymail_3.0.0_2_or_3_sentences", "data_files": [{"split": "train", "path": "cnn_dailymail_3.0.0_2_or_3_sentences/train-*"}, {"split": "validation", "path": "cnn_dailymail_3.0.0_2_or_3_sentences/validation-*"}, {"split": "test", "path": "cnn_dailymail_3.0.0_2_or_3_sentences/test-*"}]}, {"config_name": "cnn_dailymail_3.0.0_generate_story", "data_files": [{"split": "train", "path": "cnn_dailymail_3.0.0_generate_story/train-*"}, {"split": "validation", "path": "cnn_dailymail_3.0.0_generate_story/validation-*"}, {"split": "test", "path": "cnn_dailymail_3.0.0_generate_story/test-*"}]}, {"config_name": "cnn_dailymail_3.0.0_news_card_view", "data_files": [{"split": "train", "path": "cnn_dailymail_3.0.0_news_card_view/train-*"}, {"split": "validation", "path": "cnn_dailymail_3.0.0_news_card_view/validation-*"}, {"split": "test", "path": "cnn_dailymail_3.0.0_news_card_view/test-*"}]}, {"config_name": "cnn_dailymail_3.0.0_news_stock", "data_files": [{"split": "train", "path": "cnn_dailymail_3.0.0_news_stock/train-*"}, {"split": "validation", "path": "cnn_dailymail_3.0.0_news_stock/validation-*"}, {"split": "test", "path": "cnn_dailymail_3.0.0_news_stock/test-*"}]}, {"config_name": "cnn_dailymail_3.0.0_news_summary", "data_files": [{"split": "train", "path": "cnn_dailymail_3.0.0_news_summary/train-*"}, {"split": "validation", "path": "cnn_dailymail_3.0.0_news_summary/validation-*"}, {"split": "test", "path": "cnn_dailymail_3.0.0_news_summary/test-*"}]}, {"config_name": "cnn_dailymail_3.0.0_spice_up_story", "data_files": [{"split": "train", "path": "cnn_dailymail_3.0.0_spice_up_story/train-*"}, {"split": "validation", "path": "cnn_dailymail_3.0.0_spice_up_story/validation-*"}, {"split": "test", "path": "cnn_dailymail_3.0.0_spice_up_story/test-*"}]}, {"config_name": "cnn_dailymail_3.0.0_sum_in_brief", "data_files": [{"split": "train", "path": "cnn_dailymail_3.0.0_sum_in_brief/train-*"}, {"split": "validation", "path": "cnn_dailymail_3.0.0_sum_in_brief/validation-*"}, {"split": "test", "path": "cnn_dailymail_3.0.0_sum_in_brief/test-*"}]}, {"config_name": "cnn_dailymail_3.0.0_tldr_summary", "data_files": [{"split": "train", "path": "cnn_dailymail_3.0.0_tldr_summary/train-*"}, {"split": "validation", "path": "cnn_dailymail_3.0.0_tldr_summary/validation-*"}, {"split": "test", "path": "cnn_dailymail_3.0.0_tldr_summary/test-*"}]}, {"config_name": "cnn_dailymail_3.0.0_write_an_outline", "data_files": [{"split": "train", "path": "cnn_dailymail_3.0.0_write_an_outline/train-*"}, {"split": "validation", "path": "cnn_dailymail_3.0.0_write_an_outline/validation-*"}, {"split": "test", "path": "cnn_dailymail_3.0.0_write_an_outline/test-*"}]}, {"config_name": "common_gen_Example_prompt", "data_files": [{"split": "train", "path": "common_gen_Example_prompt/train-*"}, {"split": "validation", "path": "common_gen_Example_prompt/validation-*"}, {"split": "test", "path": "common_gen_Example_prompt/test-*"}]}, {"config_name": "common_gen_Given_concepts_type_1", "data_files": [{"split": "train", "path": "common_gen_Given_concepts_type_1/train-*"}, {"split": "validation", "path": "common_gen_Given_concepts_type_1/validation-*"}, {"split": "test", "path": "common_gen_Given_concepts_type_1/test-*"}]}, {"config_name": "common_gen_Given_concepts_type_2", "data_files": [{"split": "train", "path": "common_gen_Given_concepts_type_2/train-*"}, {"split": "validation", "path": "common_gen_Given_concepts_type_2/validation-*"}, {"split": "test", "path": "common_gen_Given_concepts_type_2/test-*"}]}, {"config_name": "common_gen_Put_together", "data_files": [{"split": "train", "path": "common_gen_Put_together/train-*"}, {"split": "validation", "path": "common_gen_Put_together/validation-*"}, {"split": "test", "path": "common_gen_Put_together/test-*"}]}, {"config_name": "common_gen_choice_in_concept_centric_sentence_generation", "data_files": [{"split": "train", "path": "common_gen_choice_in_concept_centric_sentence_generation/train-*"}, {"split": "validation", "path": "common_gen_choice_in_concept_centric_sentence_generation/validation-*"}, {"split": "test", "path": "common_gen_choice_in_concept_centric_sentence_generation/test-*"}]}, {"config_name": "common_gen_random_task_template_prompt", "data_files": [{"split": "train", "path": "common_gen_random_task_template_prompt/train-*"}, {"split": "validation", "path": "common_gen_random_task_template_prompt/validation-*"}, {"split": "test", "path": "common_gen_random_task_template_prompt/test-*"}]}, {"config_name": "common_gen_sentence_to_concepts", "data_files": [{"split": "train", "path": "common_gen_sentence_to_concepts/train-*"}, {"split": "validation", "path": "common_gen_sentence_to_concepts/validation-*"}, {"split": "test", "path": "common_gen_sentence_to_concepts/test-*"}]}, {"config_name": "common_gen_topic_to_sentence", "data_files": [{"split": "train", "path": "common_gen_topic_to_sentence/train-*"}, {"split": "validation", "path": "common_gen_topic_to_sentence/validation-*"}, {"split": "test", "path": "common_gen_topic_to_sentence/test-*"}]}, {"config_name": "common_gen_topics_from_the_sentence", "data_files": [{"split": "train", "path": "common_gen_topics_from_the_sentence/train-*"}, {"split": "validation", "path": "common_gen_topics_from_the_sentence/validation-*"}, {"split": "test", "path": "common_gen_topics_from_the_sentence/test-*"}]}, {"config_name": "cos_e_v1.11_aligned_with_common_sense", "data_files": [{"split": "train", "path": "cos_e_v1.11_aligned_with_common_sense/train-*"}, {"split": "validation", "path": "cos_e_v1.11_aligned_with_common_sense/validation-*"}]}, {"config_name": "cos_e_v1.11_description_question_option_id", "data_files": [{"split": "train", "path": "cos_e_v1.11_description_question_option_id/train-*"}, {"split": "validation", "path": "cos_e_v1.11_description_question_option_id/validation-*"}]}, {"config_name": "cos_e_v1.11_description_question_option_text", "data_files": [{"split": "train", "path": "cos_e_v1.11_description_question_option_text/train-*"}, {"split": "validation", "path": "cos_e_v1.11_description_question_option_text/validation-*"}]}, {"config_name": "cos_e_v1.11_explain_why_human", "data_files": [{"split": "train", "path": "cos_e_v1.11_explain_why_human/train-*"}, {"split": "validation", "path": "cos_e_v1.11_explain_why_human/validation-*"}]}, {"config_name": "cos_e_v1.11_generate_explanation_given_text", "data_files": [{"split": "train", "path": "cos_e_v1.11_generate_explanation_given_text/train-*"}, {"split": "validation", "path": "cos_e_v1.11_generate_explanation_given_text/validation-*"}]}, {"config_name": "cos_e_v1.11_i_think", "data_files": [{"split": "train", "path": "cos_e_v1.11_i_think/train-*"}, {"split": "validation", "path": "cos_e_v1.11_i_think/validation-*"}]}, {"config_name": "cos_e_v1.11_question_description_option_id", "data_files": [{"split": "train", "path": "cos_e_v1.11_question_description_option_id/train-*"}, {"split": "validation", "path": "cos_e_v1.11_question_description_option_id/validation-*"}]}, {"config_name": "cos_e_v1.11_question_description_option_text", "data_files": [{"split": "train", "path": "cos_e_v1.11_question_description_option_text/train-*"}, {"split": "validation", "path": "cos_e_v1.11_question_description_option_text/validation-*"}]}, {"config_name": "cos_e_v1.11_question_option_description_id", "data_files": [{"split": "train", "path": "cos_e_v1.11_question_option_description_id/train-*"}, {"split": "validation", "path": "cos_e_v1.11_question_option_description_id/validation-*"}]}, {"config_name": "cos_e_v1.11_question_option_description_text", "data_files": [{"split": "train", "path": "cos_e_v1.11_question_option_description_text/train-*"}, {"split": "validation", "path": "cos_e_v1.11_question_option_description_text/validation-*"}]}, {"config_name": "cos_e_v1.11_rationale", "data_files": [{"split": "train", "path": "cos_e_v1.11_rationale/train-*"}, {"split": "validation", "path": "cos_e_v1.11_rationale/validation-*"}]}, {"config_name": "cosmos_qa_context_answer_to_question", "data_files": [{"split": "train", "path": "cosmos_qa_context_answer_to_question/train-*"}, {"split": "validation", "path": "cosmos_qa_context_answer_to_question/validation-*"}, {"split": "test", "path": "cosmos_qa_context_answer_to_question/test-*"}]}, {"config_name": "cosmos_qa_context_description_question_answer_id", "data_files": [{"split": "train", "path": "cosmos_qa_context_description_question_answer_id/train-*"}, {"split": "validation", "path": "cosmos_qa_context_description_question_answer_id/validation-*"}, {"split": "test", "path": "cosmos_qa_context_description_question_answer_id/test-*"}]}, {"config_name": "cosmos_qa_context_description_question_answer_text", "data_files": [{"split": "train", "path": "cosmos_qa_context_description_question_answer_text/train-*"}, {"split": "validation", "path": "cosmos_qa_context_description_question_answer_text/validation-*"}, {"split": "test", "path": "cosmos_qa_context_description_question_answer_text/test-*"}]}, {"config_name": "cosmos_qa_context_description_question_text", "data_files": [{"split": "train", "path": "cosmos_qa_context_description_question_text/train-*"}, {"split": "validation", "path": "cosmos_qa_context_description_question_text/validation-*"}, {"split": "test", "path": "cosmos_qa_context_description_question_text/test-*"}]}, {"config_name": "cosmos_qa_context_question_description_answer_id", "data_files": [{"split": "train", "path": "cosmos_qa_context_question_description_answer_id/train-*"}, {"split": "validation", "path": "cosmos_qa_context_question_description_answer_id/validation-*"}, {"split": "test", "path": "cosmos_qa_context_question_description_answer_id/test-*"}]}, {"config_name": "cosmos_qa_context_question_description_answer_text", "data_files": [{"split": "train", "path": "cosmos_qa_context_question_description_answer_text/train-*"}, {"split": "validation", "path": "cosmos_qa_context_question_description_answer_text/validation-*"}, {"split": "test", "path": "cosmos_qa_context_question_description_answer_text/test-*"}]}, {"config_name": "cosmos_qa_context_question_description_text", "data_files": [{"split": "train", "path": "cosmos_qa_context_question_description_text/train-*"}, {"split": "validation", "path": "cosmos_qa_context_question_description_text/validation-*"}, {"split": "test", "path": "cosmos_qa_context_question_description_text/test-*"}]}, {"config_name": "cosmos_qa_description_context_question_answer_id", "data_files": [{"split": "train", "path": "cosmos_qa_description_context_question_answer_id/train-*"}, {"split": "validation", "path": "cosmos_qa_description_context_question_answer_id/validation-*"}, {"split": "test", "path": "cosmos_qa_description_context_question_answer_id/test-*"}]}, {"config_name": "cosmos_qa_description_context_question_answer_text", "data_files": [{"split": "train", "path": "cosmos_qa_description_context_question_answer_text/train-*"}, {"split": "validation", "path": "cosmos_qa_description_context_question_answer_text/validation-*"}, {"split": "test", "path": "cosmos_qa_description_context_question_answer_text/test-*"}]}, {"config_name": "cosmos_qa_description_context_question_text", "data_files": [{"split": "train", "path": "cosmos_qa_description_context_question_text/train-*"}, {"split": "validation", "path": "cosmos_qa_description_context_question_text/validation-*"}, {"split": "test", "path": "cosmos_qa_description_context_question_text/test-*"}]}, {"config_name": "cosmos_qa_no_prompt_id", "data_files": [{"split": "train", "path": "cosmos_qa_no_prompt_id/train-*"}, {"split": "validation", "path": "cosmos_qa_no_prompt_id/validation-*"}, {"split": "test", "path": "cosmos_qa_no_prompt_id/test-*"}]}, {"config_name": "cosmos_qa_no_prompt_text", "data_files": [{"split": "train", "path": "cosmos_qa_no_prompt_text/train-*"}, {"split": "validation", "path": "cosmos_qa_no_prompt_text/validation-*"}, {"split": "test", "path": "cosmos_qa_no_prompt_text/test-*"}]}, {"config_name": "cosmos_qa_only_question_answer", "data_files": [{"split": "train", "path": "cosmos_qa_only_question_answer/train-*"}, {"split": "validation", "path": "cosmos_qa_only_question_answer/validation-*"}, {"split": "test", "path": "cosmos_qa_only_question_answer/test-*"}]}, {"config_name": "dbpedia_14_given_a_choice_of_categories_", "data_files": [{"split": "train", "path": "dbpedia_14_given_a_choice_of_categories_/train-*"}, {"split": "test", "path": "dbpedia_14_given_a_choice_of_categories_/test-*"}]}, {"config_name": "dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to", "data_files": [{"split": "train", "path": "dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to/train-*"}, {"split": "test", "path": "dbpedia_14_given_a_list_of_category_what_does_the_title_belong_to/test-*"}]}, {"config_name": "dbpedia_14_given_list_what_category_does_the_paragraph_belong_to", "data_files": [{"split": "train", "path": "dbpedia_14_given_list_what_category_does_the_paragraph_belong_to/train-*"}, {"split": "test", "path": "dbpedia_14_given_list_what_category_does_the_paragraph_belong_to/test-*"}]}, {"config_name": "dbpedia_14_pick_one_category_for_the_following_text", "data_files": [{"split": "train", "path": "dbpedia_14_pick_one_category_for_the_following_text/train-*"}, {"split": "test", "path": "dbpedia_14_pick_one_category_for_the_following_text/test-*"}]}, {"config_name": "dream_answer_to_dialogue", "data_files": [{"split": "train", "path": "dream_answer_to_dialogue/train-*"}, {"split": "validation", "path": "dream_answer_to_dialogue/validation-*"}, {"split": "test", "path": "dream_answer_to_dialogue/test-*"}]}, {"config_name": "dream_baseline", "data_files": [{"split": "train", "path": "dream_baseline/train-*"}, {"split": "validation", "path": "dream_baseline/validation-*"}, {"split": "test", "path": "dream_baseline/test-*"}]}, {"config_name": "dream_generate_first_utterance", "data_files": [{"split": "train", "path": "dream_generate_first_utterance/train-*"}, {"split": "validation", "path": "dream_generate_first_utterance/validation-*"}, {"split": "test", "path": "dream_generate_first_utterance/test-*"}]}, {"config_name": "dream_generate_last_utterance", "data_files": [{"split": "train", "path": "dream_generate_last_utterance/train-*"}, {"split": "validation", "path": "dream_generate_last_utterance/validation-*"}, {"split": "test", "path": "dream_generate_last_utterance/test-*"}]}, {"config_name": "dream_read_the_following_conversation_and_answer_the_question", "data_files": [{"split": "train", "path": "dream_read_the_following_conversation_and_answer_the_question/train-*"}, {"split": "validation", "path": "dream_read_the_following_conversation_and_answer_the_question/validation-*"}, {"split": "test", "path": "dream_read_the_following_conversation_and_answer_the_question/test-*"}]}, {"config_name": "duorc_ParaphraseRC_answer_question", "data_files": [{"split": "train", "path": "duorc_ParaphraseRC_answer_question/train-*"}, {"split": "validation", "path": "duorc_ParaphraseRC_answer_question/validation-*"}, {"split": "test", "path": "duorc_ParaphraseRC_answer_question/test-*"}]}, {"config_name": "duorc_ParaphraseRC_build_story_around_qa", "data_files": [{"split": "train", "path": "duorc_ParaphraseRC_build_story_around_qa/train-*"}, {"split": "validation", "path": "duorc_ParaphraseRC_build_story_around_qa/validation-*"}, {"split": "test", "path": "duorc_ParaphraseRC_build_story_around_qa/test-*"}]}, {"config_name": "duorc_ParaphraseRC_decide_worth_it", "data_files": [{"split": "train", "path": "duorc_ParaphraseRC_decide_worth_it/train-*"}, {"split": "validation", "path": "duorc_ParaphraseRC_decide_worth_it/validation-*"}, {"split": "test", "path": "duorc_ParaphraseRC_decide_worth_it/test-*"}]}, {"config_name": "duorc_ParaphraseRC_extract_answer", "data_files": [{"split": "train", "path": "duorc_ParaphraseRC_extract_answer/train-*"}, {"split": "validation", "path": "duorc_ParaphraseRC_extract_answer/validation-*"}, {"split": "test", "path": "duorc_ParaphraseRC_extract_answer/test-*"}]}, {"config_name": "duorc_ParaphraseRC_generate_question", "data_files": [{"split": "train", "path": "duorc_ParaphraseRC_generate_question/train-*"}, {"split": "validation", "path": "duorc_ParaphraseRC_generate_question/validation-*"}, {"split": "test", "path": "duorc_ParaphraseRC_generate_question/test-*"}]}, {"config_name": "duorc_ParaphraseRC_generate_question_by_answer", "data_files": [{"split": "train", "path": "duorc_ParaphraseRC_generate_question_by_answer/train-*"}, {"split": "validation", "path": "duorc_ParaphraseRC_generate_question_by_answer/validation-*"}, {"split": "test", "path": "duorc_ParaphraseRC_generate_question_by_answer/test-*"}]}, {"config_name": "duorc_ParaphraseRC_movie_director", "data_files": [{"split": "train", "path": "duorc_ParaphraseRC_movie_director/train-*"}, {"split": "validation", "path": "duorc_ParaphraseRC_movie_director/validation-*"}, {"split": "test", "path": "duorc_ParaphraseRC_movie_director/test-*"}]}, {"config_name": "duorc_ParaphraseRC_question_answering", "data_files": [{"split": "train", "path": "duorc_ParaphraseRC_question_answering/train-*"}, {"split": "validation", "path": "duorc_ParaphraseRC_question_answering/validation-*"}, {"split": "test", "path": "duorc_ParaphraseRC_question_answering/test-*"}]}, {"config_name": "duorc_ParaphraseRC_title_generation", "data_files": [{"split": "train", "path": "duorc_ParaphraseRC_title_generation/train-*"}, {"split": "validation", "path": "duorc_ParaphraseRC_title_generation/validation-*"}, {"split": "test", "path": "duorc_ParaphraseRC_title_generation/test-*"}]}, {"config_name": "duorc_SelfRC_answer_question", "data_files": [{"split": "train", "path": "duorc_SelfRC_answer_question/train-*"}, {"split": "validation", "path": "duorc_SelfRC_answer_question/validation-*"}, {"split": "test", "path": "duorc_SelfRC_answer_question/test-*"}]}, {"config_name": "duorc_SelfRC_build_story_around_qa", "data_files": [{"split": "train", "path": "duorc_SelfRC_build_story_around_qa/train-*"}, {"split": "validation", "path": "duorc_SelfRC_build_story_around_qa/validation-*"}, {"split": "test", "path": "duorc_SelfRC_build_story_around_qa/test-*"}]}, {"config_name": "duorc_SelfRC_decide_worth_it", "data_files": [{"split": "train", "path": "duorc_SelfRC_decide_worth_it/train-*"}, {"split": "validation", "path": "duorc_SelfRC_decide_worth_it/validation-*"}, {"split": "test", "path": "duorc_SelfRC_decide_worth_it/test-*"}]}, {"config_name": "duorc_SelfRC_extract_answer", "data_files": [{"split": "train", "path": "duorc_SelfRC_extract_answer/train-*"}, {"split": "validation", "path": "duorc_SelfRC_extract_answer/validation-*"}, {"split": "test", "path": "duorc_SelfRC_extract_answer/test-*"}]}, {"config_name": "duorc_SelfRC_generate_question", "data_files": [{"split": "train", "path": "duorc_SelfRC_generate_question/train-*"}, {"split": "validation", "path": "duorc_SelfRC_generate_question/validation-*"}, {"split": "test", "path": "duorc_SelfRC_generate_question/test-*"}]}, {"config_name": "duorc_SelfRC_generate_question_by_answer", "data_files": [{"split": "train", "path": "duorc_SelfRC_generate_question_by_answer/train-*"}, {"split": "validation", "path": "duorc_SelfRC_generate_question_by_answer/validation-*"}, {"split": "test", "path": "duorc_SelfRC_generate_question_by_answer/test-*"}]}, {"config_name": "duorc_SelfRC_movie_director", "data_files": [{"split": "train", "path": "duorc_SelfRC_movie_director/train-*"}, {"split": "validation", "path": "duorc_SelfRC_movie_director/validation-*"}, {"split": "test", "path": "duorc_SelfRC_movie_director/test-*"}]}, {"config_name": "duorc_SelfRC_question_answering", "data_files": [{"split": "train", "path": "duorc_SelfRC_question_answering/train-*"}, {"split": "validation", "path": "duorc_SelfRC_question_answering/validation-*"}, {"split": "test", "path": "duorc_SelfRC_question_answering/test-*"}]}, {"config_name": "duorc_SelfRC_title_generation", "data_files": [{"split": "train", "path": "duorc_SelfRC_title_generation/train-*"}, {"split": "validation", "path": "duorc_SelfRC_title_generation/validation-*"}, {"split": "test", "path": "duorc_SelfRC_title_generation/test-*"}]}, {"config_name": "gigaword_TLDR", "data_files": [{"split": "train", "path": "gigaword_TLDR/train-*"}, {"split": "validation", "path": "gigaword_TLDR/validation-*"}, {"split": "test", "path": "gigaword_TLDR/test-*"}]}, {"config_name": "gigaword_first_sentence_title", "data_files": [{"split": "train", "path": "gigaword_first_sentence_title/train-*"}, {"split": "validation", "path": "gigaword_first_sentence_title/validation-*"}, {"split": "test", "path": "gigaword_first_sentence_title/test-*"}]}, {"config_name": "gigaword_generate_summary_for_this", "data_files": [{"split": "train", "path": "gigaword_generate_summary_for_this/train-*"}, {"split": "validation", "path": "gigaword_generate_summary_for_this/validation-*"}, {"split": "test", "path": "gigaword_generate_summary_for_this/test-*"}]}, {"config_name": "gigaword_in_a_nutshell", "data_files": [{"split": "train", "path": "gigaword_in_a_nutshell/train-*"}, {"split": "validation", "path": "gigaword_in_a_nutshell/validation-*"}, {"split": "test", "path": "gigaword_in_a_nutshell/test-*"}]}, {"config_name": "gigaword_make_a_title", "data_files": [{"split": "train", "path": "gigaword_make_a_title/train-*"}, {"split": "validation", "path": "gigaword_make_a_title/validation-*"}, {"split": "test", "path": "gigaword_make_a_title/test-*"}]}, {"config_name": "gigaword_reverse_writing", "data_files": [{"split": "train", "path": "gigaword_reverse_writing/train-*"}, {"split": "validation", "path": "gigaword_reverse_writing/validation-*"}, {"split": "test", "path": "gigaword_reverse_writing/test-*"}]}, {"config_name": "gigaword_write_a_title_for_this_sentence", "data_files": [{"split": "train", "path": "gigaword_write_a_title_for_this_sentence/train-*"}, {"split": "validation", "path": "gigaword_write_a_title_for_this_sentence/validation-*"}, {"split": "test", "path": "gigaword_write_a_title_for_this_sentence/test-*"}]}, {"config_name": "gigaword_write_an_article", "data_files": [{"split": "train", "path": "gigaword_write_an_article/train-*"}, {"split": "validation", "path": "gigaword_write_an_article/validation-*"}, {"split": "test", "path": "gigaword_write_an_article/test-*"}]}, {"config_name": "gigaword_write_its_sentence", "data_files": [{"split": "train", "path": "gigaword_write_its_sentence/train-*"}, {"split": "validation", "path": "gigaword_write_its_sentence/validation-*"}, {"split": "test", "path": "gigaword_write_its_sentence/test-*"}]}, {"config_name": "glue_mrpc_equivalent", "data_files": [{"split": "train", "path": "glue_mrpc_equivalent/train-*"}, {"split": "validation", "path": "glue_mrpc_equivalent/validation-*"}, {"split": "test", "path": "glue_mrpc_equivalent/test-*"}]}, {"config_name": "glue_mrpc_generate_paraphrase", "data_files": [{"split": "train", "path": "glue_mrpc_generate_paraphrase/train-*"}, {"split": "validation", "path": "glue_mrpc_generate_paraphrase/validation-*"}, {"split": "test", "path": "glue_mrpc_generate_paraphrase/test-*"}]}, {"config_name": "glue_mrpc_generate_sentence", "data_files": [{"split": "train", "path": "glue_mrpc_generate_sentence/train-*"}, {"split": "validation", "path": "glue_mrpc_generate_sentence/validation-*"}, {"split": "test", "path": "glue_mrpc_generate_sentence/test-*"}]}, {"config_name": "glue_mrpc_paraphrase", "data_files": [{"split": "train", "path": "glue_mrpc_paraphrase/train-*"}, {"split": "validation", "path": "glue_mrpc_paraphrase/validation-*"}, {"split": "test", "path": "glue_mrpc_paraphrase/test-*"}]}, {"config_name": "glue_mrpc_replace", "data_files": [{"split": "train", "path": "glue_mrpc_replace/train-*"}, {"split": "validation", "path": "glue_mrpc_replace/validation-*"}, {"split": "test", "path": "glue_mrpc_replace/test-*"}]}, {"config_name": "glue_mrpc_same_thing", "data_files": [{"split": "train", "path": "glue_mrpc_same_thing/train-*"}, {"split": "validation", "path": "glue_mrpc_same_thing/validation-*"}, {"split": "test", "path": "glue_mrpc_same_thing/test-*"}]}, {"config_name": "glue_mrpc_want_to_know", "data_files": [{"split": "train", "path": "glue_mrpc_want_to_know/train-*"}, {"split": "validation", "path": "glue_mrpc_want_to_know/validation-*"}, {"split": "test", "path": "glue_mrpc_want_to_know/test-*"}]}, {"config_name": "glue_qqp_answer", "data_files": [{"split": "train", "path": "glue_qqp_answer/train-*"}, {"split": "validation", "path": "glue_qqp_answer/validation-*"}, {"split": "test", "path": "glue_qqp_answer/test-*"}]}, {"config_name": "glue_qqp_duplicate", "data_files": [{"split": "train", "path": "glue_qqp_duplicate/train-*"}, {"split": "validation", "path": "glue_qqp_duplicate/validation-*"}, {"split": "test", "path": "glue_qqp_duplicate/test-*"}]}, {"config_name": "glue_qqp_duplicate_or_not", "data_files": [{"split": "train", "path": "glue_qqp_duplicate_or_not/train-*"}, {"split": "validation", "path": "glue_qqp_duplicate_or_not/validation-*"}, {"split": "test", "path": "glue_qqp_duplicate_or_not/test-*"}]}, {"config_name": "glue_qqp_meaning", "data_files": [{"split": "train", "path": "glue_qqp_meaning/train-*"}, {"split": "validation", "path": "glue_qqp_meaning/validation-*"}, {"split": "test", "path": "glue_qqp_meaning/test-*"}]}, {"config_name": "glue_qqp_quora", "data_files": [{"split": "train", "path": "glue_qqp_quora/train-*"}, {"split": "validation", "path": "glue_qqp_quora/validation-*"}, {"split": "test", "path": "glue_qqp_quora/test-*"}]}, {"config_name": "glue_qqp_same_thing", "data_files": [{"split": "train", "path": "glue_qqp_same_thing/train-*"}, {"split": "validation", "path": "glue_qqp_same_thing/validation-*"}, {"split": "test", "path": "glue_qqp_same_thing/test-*"}]}, {"config_name": "hellaswag_Appropriate_continuation_Yes_or_No", "data_files": [{"split": "train", "path": "hellaswag_Appropriate_continuation_Yes_or_No/train-*"}, {"split": "validation", "path": "hellaswag_Appropriate_continuation_Yes_or_No/validation-*"}, {"split": "test", "path": "hellaswag_Appropriate_continuation_Yes_or_No/test-*"}]}, {"config_name": "hellaswag_Open_ended_completion", "data_files": [{"split": "train", "path": "hellaswag_Open_ended_completion/train-*"}, {"split": "validation", "path": "hellaswag_Open_ended_completion/validation-*"}, {"split": "test", "path": "hellaswag_Open_ended_completion/test-*"}]}, {"config_name": "hellaswag_Open_ended_start", "data_files": [{"split": "train", "path": "hellaswag_Open_ended_start/train-*"}, {"split": "validation", "path": "hellaswag_Open_ended_start/validation-*"}, {"split": "test", "path": "hellaswag_Open_ended_start/test-*"}]}, {"config_name": "hellaswag_Predict_ending_with_hint", "data_files": [{"split": "train", "path": "hellaswag_Predict_ending_with_hint/train-*"}, {"split": "validation", "path": "hellaswag_Predict_ending_with_hint/validation-*"}, {"split": "test", "path": "hellaswag_Predict_ending_with_hint/test-*"}]}, {"config_name": "hellaswag_Predict_ending_with_hint_score_eval", "data_files": [{"split": "train", "path": "hellaswag_Predict_ending_with_hint_score_eval/train-*"}, {"split": "validation", "path": "hellaswag_Predict_ending_with_hint_score_eval/validation-*"}, {"split": "test", "path": "hellaswag_Predict_ending_with_hint_score_eval/test-*"}]}, {"config_name": "hellaswag_Randomized_prompts_template", "data_files": [{"split": "train", "path": "hellaswag_Randomized_prompts_template/train-*"}, {"split": "validation", "path": "hellaswag_Randomized_prompts_template/validation-*"}, {"split": "test", "path": "hellaswag_Randomized_prompts_template/test-*"}]}, {"config_name": "hellaswag_Randomized_prompts_template_score_eval", "data_files": [{"split": "train", "path": "hellaswag_Randomized_prompts_template_score_eval/train-*"}, {"split": "validation", "path": "hellaswag_Randomized_prompts_template_score_eval/validation-*"}, {"split": "test", "path": "hellaswag_Randomized_prompts_template_score_eval/test-*"}]}, {"config_name": "hellaswag_Reversed_appropriate_continuation_Yes_or_No", "data_files": [{"split": "train", "path": "hellaswag_Reversed_appropriate_continuation_Yes_or_No/train-*"}, {"split": "validation", "path": "hellaswag_Reversed_appropriate_continuation_Yes_or_No/validation-*"}, {"split": "test", "path": "hellaswag_Reversed_appropriate_continuation_Yes_or_No/test-*"}]}, {"config_name": "hellaswag_Topic_of_the_context", "data_files": [{"split": "train", "path": "hellaswag_Topic_of_the_context/train-*"}, {"split": "validation", "path": "hellaswag_Topic_of_the_context/validation-*"}, {"split": "test", "path": "hellaswag_Topic_of_the_context/test-*"}]}, {"config_name": "hellaswag_Topic_without_the_ending_answer", "data_files": [{"split": "train", "path": "hellaswag_Topic_without_the_ending_answer/train-*"}, {"split": "validation", "path": "hellaswag_Topic_without_the_ending_answer/validation-*"}, {"split": "test", "path": "hellaswag_Topic_without_the_ending_answer/test-*"}]}, {"config_name": "hellaswag_complete_first_then", "data_files": [{"split": "train", "path": "hellaswag_complete_first_then/train-*"}, {"split": "validation", "path": "hellaswag_complete_first_then/validation-*"}, {"split": "test", "path": "hellaswag_complete_first_then/test-*"}]}, {"config_name": "hellaswag_complete_first_then_score_eval", "data_files": [{"split": "train", "path": "hellaswag_complete_first_then_score_eval/train-*"}, {"split": "validation", "path": "hellaswag_complete_first_then_score_eval/validation-*"}, {"split": "test", "path": "hellaswag_complete_first_then_score_eval/test-*"}]}, {"config_name": "hellaswag_how_ends", "data_files": [{"split": "train", "path": "hellaswag_how_ends/train-*"}, {"split": "validation", "path": "hellaswag_how_ends/validation-*"}, {"split": "test", "path": "hellaswag_how_ends/test-*"}]}, {"config_name": "hellaswag_if_begins_how_continues", "data_files": [{"split": "train", "path": "hellaswag_if_begins_how_continues/train-*"}, {"split": "validation", "path": "hellaswag_if_begins_how_continues/validation-*"}, {"split": "test", "path": "hellaswag_if_begins_how_continues/test-*"}]}, {"config_name": "hellaswag_if_begins_how_continues_score_eval", "data_files": [{"split": "train", "path": "hellaswag_if_begins_how_continues_score_eval/train-*"}, {"split": "validation", "path": "hellaswag_if_begins_how_continues_score_eval/validation-*"}, {"split": "test", "path": "hellaswag_if_begins_how_continues_score_eval/test-*"}]}, {"config_name": "imdb_Movie_Expressed_Sentiment", "data_files": [{"split": "train", "path": "imdb_Movie_Expressed_Sentiment/train-*"}, {"split": "test", "path": "imdb_Movie_Expressed_Sentiment/test-*"}, {"split": "unsupervised", "path": "imdb_Movie_Expressed_Sentiment/unsupervised-*"}]}, {"config_name": "imdb_Movie_Expressed_Sentiment_2", "data_files": [{"split": "train", "path": "imdb_Movie_Expressed_Sentiment_2/train-*"}, {"split": "test", "path": "imdb_Movie_Expressed_Sentiment_2/test-*"}, {"split": "unsupervised", "path": "imdb_Movie_Expressed_Sentiment_2/unsupervised-*"}]}, {"config_name": "imdb_Negation_template_for_positive_and_negative", "data_files": [{"split": "train", "path": "imdb_Negation_template_for_positive_and_negative/train-*"}, {"split": "test", "path": "imdb_Negation_template_for_positive_and_negative/test-*"}, {"split": "unsupervised", "path": "imdb_Negation_template_for_positive_and_negative/unsupervised-*"}]}, {"config_name": "imdb_Reviewer_Enjoyment", "data_files": [{"split": "train", "path": "imdb_Reviewer_Enjoyment/train-*"}, {"split": "test", "path": "imdb_Reviewer_Enjoyment/test-*"}, {"split": "unsupervised", "path": "imdb_Reviewer_Enjoyment/unsupervised-*"}]}, {"config_name": "imdb_Reviewer_Enjoyment_Yes_No", "data_files": [{"split": "train", "path": "imdb_Reviewer_Enjoyment_Yes_No/train-*"}, {"split": "test", "path": "imdb_Reviewer_Enjoyment_Yes_No/test-*"}, {"split": "unsupervised", "path": "imdb_Reviewer_Enjoyment_Yes_No/unsupervised-*"}]}, {"config_name": "imdb_Reviewer_Expressed_Sentiment", "data_files": [{"split": "train", "path": "imdb_Reviewer_Expressed_Sentiment/train-*"}, {"split": "test", "path": "imdb_Reviewer_Expressed_Sentiment/test-*"}, {"split": "unsupervised", "path": "imdb_Reviewer_Expressed_Sentiment/unsupervised-*"}]}, {"config_name": "imdb_Reviewer_Opinion_bad_good_choices", "data_files": [{"split": "train", "path": "imdb_Reviewer_Opinion_bad_good_choices/train-*"}, {"split": "test", "path": "imdb_Reviewer_Opinion_bad_good_choices/test-*"}, {"split": "unsupervised", "path": "imdb_Reviewer_Opinion_bad_good_choices/unsupervised-*"}]}, {"config_name": "imdb_Reviewer_Sentiment_Feeling", "data_files": [{"split": "train", "path": "imdb_Reviewer_Sentiment_Feeling/train-*"}, {"split": "test", "path": "imdb_Reviewer_Sentiment_Feeling/test-*"}, {"split": "unsupervised", "path": "imdb_Reviewer_Sentiment_Feeling/unsupervised-*"}]}, {"config_name": "imdb_Sentiment_with_choices_", "data_files": [{"split": "train", "path": "imdb_Sentiment_with_choices_/train-*"}, {"split": "test", "path": "imdb_Sentiment_with_choices_/test-*"}, {"split": "unsupervised", "path": "imdb_Sentiment_with_choices_/unsupervised-*"}]}, {"config_name": "imdb_Text_Expressed_Sentiment", "data_files": [{"split": "train", "path": "imdb_Text_Expressed_Sentiment/train-*"}, {"split": "test", "path": "imdb_Text_Expressed_Sentiment/test-*"}, {"split": "unsupervised", "path": "imdb_Text_Expressed_Sentiment/unsupervised-*"}]}, {"config_name": "imdb_Writer_Expressed_Sentiment", "data_files": [{"split": "train", "path": "imdb_Writer_Expressed_Sentiment/train-*"}, {"split": "test", "path": "imdb_Writer_Expressed_Sentiment/test-*"}, {"split": "unsupervised", "path": "imdb_Writer_Expressed_Sentiment/unsupervised-*"}]}, {"config_name": "kilt_tasks_hotpotqa_combining_facts", "data_files": [{"split": "train", "path": "kilt_tasks_hotpotqa_combining_facts/train-*"}, {"split": "validation", "path": "kilt_tasks_hotpotqa_combining_facts/validation-*"}]}, {"config_name": "kilt_tasks_hotpotqa_complex_question", "data_files": [{"split": "train", "path": "kilt_tasks_hotpotqa_complex_question/train-*"}, {"split": "validation", "path": "kilt_tasks_hotpotqa_complex_question/validation-*"}]}, {"config_name": "kilt_tasks_hotpotqa_final_exam", "data_files": [{"split": "train", "path": "kilt_tasks_hotpotqa_final_exam/train-*"}, {"split": "validation", "path": "kilt_tasks_hotpotqa_final_exam/validation-*"}]}, {"config_name": "kilt_tasks_hotpotqa_formulate", "data_files": [{"split": "train", "path": "kilt_tasks_hotpotqa_formulate/train-*"}, {"split": "validation", "path": "kilt_tasks_hotpotqa_formulate/validation-*"}]}, {"config_name": "kilt_tasks_hotpotqa_straighforward_qa", "data_files": [{"split": "train", "path": "kilt_tasks_hotpotqa_straighforward_qa/train-*"}, {"split": "validation", "path": "kilt_tasks_hotpotqa_straighforward_qa/validation-*"}]}, {"config_name": "multi_news_distill", "data_files": [{"split": "train", "path": "multi_news_distill/train-*"}, {"split": "validation", "path": "multi_news_distill/validation-*"}, {"split": "test", "path": "multi_news_distill/test-*"}]}, {"config_name": "multi_news_expand_reverse_task_", "data_files": [{"split": "train", "path": "multi_news_expand_reverse_task_/train-*"}, {"split": "validation", "path": "multi_news_expand_reverse_task_/validation-*"}, {"split": "test", "path": "multi_news_expand_reverse_task_/test-*"}]}, {"config_name": "multi_news_summarize", "data_files": [{"split": "train", "path": "multi_news_summarize/train-*"}, {"split": "validation", "path": "multi_news_summarize/validation-*"}, {"split": "test", "path": "multi_news_summarize/test-*"}]}, {"config_name": "multi_news_summary_scenario", "data_files": [{"split": "train", "path": "multi_news_summary_scenario/train-*"}, {"split": "validation", "path": "multi_news_summary_scenario/validation-*"}, {"split": "test", "path": "multi_news_summary_scenario/test-*"}]}, {"config_name": "multi_news_synthesize", "data_files": [{"split": "train", "path": "multi_news_synthesize/train-*"}, {"split": "validation", "path": "multi_news_synthesize/validation-*"}, {"split": "test", "path": "multi_news_synthesize/test-*"}]}, {"config_name": "multi_news_what_are_the_key_points", "data_files": [{"split": "train", "path": "multi_news_what_are_the_key_points/train-*"}, {"split": "validation", "path": "multi_news_what_are_the_key_points/validation-*"}, {"split": "test", "path": "multi_news_what_are_the_key_points/test-*"}]}, {"config_name": "openbookqa_main_choices", "data_files": [{"split": "train", "path": "openbookqa_main_choices/train-*"}, {"split": "validation", "path": "openbookqa_main_choices/validation-*"}, {"split": "test", "path": "openbookqa_main_choices/test-*"}]}, {"config_name": "openbookqa_main_choose_an_answer_with_options", "data_files": [{"split": "train", "path": "openbookqa_main_choose_an_answer_with_options/train-*"}, {"split": "validation", "path": "openbookqa_main_choose_an_answer_with_options/validation-*"}, {"split": "test", "path": "openbookqa_main_choose_an_answer_with_options/test-*"}]}, {"config_name": "openbookqa_main_only_options", "data_files": [{"split": "train", "path": "openbookqa_main_only_options/train-*"}, {"split": "validation", "path": "openbookqa_main_only_options/validation-*"}, {"split": "test", "path": "openbookqa_main_only_options/test-*"}]}, {"config_name": "openbookqa_main_pick_answer_with_options", "data_files": [{"split": "train", "path": "openbookqa_main_pick_answer_with_options/train-*"}, {"split": "validation", "path": "openbookqa_main_pick_answer_with_options/validation-*"}, {"split": "test", "path": "openbookqa_main_pick_answer_with_options/test-*"}]}, {"config_name": "openbookqa_main_pick_using_id", "data_files": [{"split": "train", "path": "openbookqa_main_pick_using_id/train-*"}, {"split": "validation", "path": "openbookqa_main_pick_using_id/validation-*"}, {"split": "test", "path": "openbookqa_main_pick_using_id/test-*"}]}, {"config_name": "openbookqa_main_which_correct", "data_files": [{"split": "train", "path": "openbookqa_main_which_correct/train-*"}, {"split": "validation", "path": "openbookqa_main_which_correct/validation-*"}, {"split": "test", "path": "openbookqa_main_which_correct/test-*"}]}, {"config_name": "openbookqa_main_which_correct_inverse", "data_files": [{"split": "train", "path": "openbookqa_main_which_correct_inverse/train-*"}, {"split": "validation", "path": "openbookqa_main_which_correct_inverse/validation-*"}, {"split": "test", "path": "openbookqa_main_which_correct_inverse/test-*"}]}, {"config_name": "paws_labeled_final_Concatenation", "data_files": [{"split": "train", "path": "paws_labeled_final_Concatenation/train-*"}, {"split": "validation", "path": "paws_labeled_final_Concatenation/validation-*"}, {"split": "test", "path": "paws_labeled_final_Concatenation/test-*"}]}, {"config_name": "paws_labeled_final_Concatenation_no_label", "data_files": [{"split": "train", "path": "paws_labeled_final_Concatenation_no_label/train-*"}, {"split": "validation", "path": "paws_labeled_final_Concatenation_no_label/validation-*"}, {"split": "test", "path": "paws_labeled_final_Concatenation_no_label/test-*"}]}, {"config_name": "paws_labeled_final_Meaning", "data_files": [{"split": "train", "path": "paws_labeled_final_Meaning/train-*"}, {"split": "validation", "path": "paws_labeled_final_Meaning/validation-*"}, {"split": "test", "path": "paws_labeled_final_Meaning/test-*"}]}, {"config_name": "paws_labeled_final_Meaning_no_label", "data_files": [{"split": "train", "path": "paws_labeled_final_Meaning_no_label/train-*"}, {"split": "validation", "path": "paws_labeled_final_Meaning_no_label/validation-*"}, {"split": "test", "path": "paws_labeled_final_Meaning_no_label/test-*"}]}, {"config_name": "paws_labeled_final_PAWS_ANLI_GPT3", "data_files": [{"split": "train", "path": "paws_labeled_final_PAWS_ANLI_GPT3/train-*"}, {"split": "validation", "path": "paws_labeled_final_PAWS_ANLI_GPT3/validation-*"}, {"split": "test", "path": "paws_labeled_final_PAWS_ANLI_GPT3/test-*"}]}, {"config_name": "paws_labeled_final_PAWS_ANLI_GPT3_no_label", "data_files": [{"split": "train", "path": "paws_labeled_final_PAWS_ANLI_GPT3_no_label/train-*"}, {"split": "validation", "path": "paws_labeled_final_PAWS_ANLI_GPT3_no_label/validation-*"}, {"split": "test", "path": "paws_labeled_final_PAWS_ANLI_GPT3_no_label/test-*"}]}, {"config_name": "paws_labeled_final_Rewrite", "data_files": [{"split": "train", "path": "paws_labeled_final_Rewrite/train-*"}, {"split": "validation", "path": "paws_labeled_final_Rewrite/validation-*"}, {"split": "test", "path": "paws_labeled_final_Rewrite/test-*"}]}, {"config_name": "paws_labeled_final_Rewrite_no_label", "data_files": [{"split": "train", "path": "paws_labeled_final_Rewrite_no_label/train-*"}, {"split": "validation", "path": "paws_labeled_final_Rewrite_no_label/validation-*"}, {"split": "test", "path": "paws_labeled_final_Rewrite_no_label/test-*"}]}, {"config_name": "paws_labeled_final_context_question", "data_files": [{"split": "train", "path": "paws_labeled_final_context_question/train-*"}, {"split": "validation", "path": "paws_labeled_final_context_question/validation-*"}, {"split": "test", "path": "paws_labeled_final_context_question/test-*"}]}, {"config_name": "paws_labeled_final_context_question_no_label", "data_files": [{"split": "train", "path": "paws_labeled_final_context_question_no_label/train-*"}, {"split": "validation", "path": "paws_labeled_final_context_question_no_label/validation-*"}, {"split": "test", "path": "paws_labeled_final_context_question_no_label/test-*"}]}, {"config_name": "paws_labeled_final_paraphrase_task", "data_files": [{"split": "train", "path": "paws_labeled_final_paraphrase_task/train-*"}, {"split": "validation", "path": "paws_labeled_final_paraphrase_task/validation-*"}, {"split": "test", "path": "paws_labeled_final_paraphrase_task/test-*"}]}, {"config_name": "paws_labeled_final_task_description_no_label", "data_files": [{"split": "train", "path": "paws_labeled_final_task_description_no_label/train-*"}, {"split": "validation", "path": "paws_labeled_final_task_description_no_label/validation-*"}, {"split": "test", "path": "paws_labeled_final_task_description_no_label/test-*"}]}, {"config_name": "piqa_Correct_the_solution", "data_files": [{"split": "train", "path": "piqa_Correct_the_solution/train-*"}, {"split": "validation", "path": "piqa_Correct_the_solution/validation-*"}, {"split": "test", "path": "piqa_Correct_the_solution/test-*"}]}, {"config_name": "piqa_Correct_the_solution_if_false_from_sol_1", "data_files": [{"split": "train", "path": "piqa_Correct_the_solution_if_false_from_sol_1/train-*"}, {"split": "validation", "path": "piqa_Correct_the_solution_if_false_from_sol_1/validation-*"}, {"split": "test", "path": "piqa_Correct_the_solution_if_false_from_sol_1/test-*"}]}, {"config_name": "piqa_Correct_the_solution_if_false_from_sol_2", "data_files": [{"split": "train", "path": "piqa_Correct_the_solution_if_false_from_sol_2/train-*"}, {"split": "validation", "path": "piqa_Correct_the_solution_if_false_from_sol_2/validation-*"}, {"split": "test", "path": "piqa_Correct_the_solution_if_false_from_sol_2/test-*"}]}, {"config_name": "piqa_Does_this_solution_make_sense_sol1", "data_files": [{"split": "train", "path": "piqa_Does_this_solution_make_sense_sol1/train-*"}, {"split": "validation", "path": "piqa_Does_this_solution_make_sense_sol1/validation-*"}, {"split": "test", "path": "piqa_Does_this_solution_make_sense_sol1/test-*"}]}, {"config_name": "piqa_Does_this_solution_make_sense_sol2", "data_files": [{"split": "train", "path": "piqa_Does_this_solution_make_sense_sol2/train-*"}, {"split": "validation", "path": "piqa_Does_this_solution_make_sense_sol2/validation-*"}, {"split": "test", "path": "piqa_Does_this_solution_make_sense_sol2/test-*"}]}, {"config_name": "piqa_choose_the_most_appropriate_solution", "data_files": [{"split": "train", "path": "piqa_choose_the_most_appropriate_solution/train-*"}, {"split": "validation", "path": "piqa_choose_the_most_appropriate_solution/validation-*"}, {"split": "test", "path": "piqa_choose_the_most_appropriate_solution/test-*"}]}, {"config_name": "piqa_finish_sentence_with_correct_choice", "data_files": [{"split": "train", "path": "piqa_finish_sentence_with_correct_choice/train-*"}, {"split": "validation", "path": "piqa_finish_sentence_with_correct_choice/validation-*"}, {"split": "test", "path": "piqa_finish_sentence_with_correct_choice/test-*"}]}, {"config_name": "piqa_no_prompt_needed", "data_files": [{"split": "train", "path": "piqa_no_prompt_needed/train-*"}, {"split": "validation", "path": "piqa_no_prompt_needed/validation-*"}, {"split": "test", "path": "piqa_no_prompt_needed/test-*"}]}, {"config_name": "piqa_pick_correct_choice_index", "data_files": [{"split": "train", "path": "piqa_pick_correct_choice_index/train-*"}, {"split": "validation", "path": "piqa_pick_correct_choice_index/validation-*"}, {"split": "test", "path": "piqa_pick_correct_choice_index/test-*"}]}, {"config_name": "piqa_pick_correct_choice_with_choice_given_before_goal", "data_files": [{"split": "train", "path": "piqa_pick_correct_choice_with_choice_given_before_goal/train-*"}, {"split": "validation", "path": "piqa_pick_correct_choice_with_choice_given_before_goal/validation-*"}, {"split": "test", "path": "piqa_pick_correct_choice_with_choice_given_before_goal/test-*"}]}, {"config_name": "piqa_what_is_the_correct_ending", "data_files": [{"split": "train", "path": "piqa_what_is_the_correct_ending/train-*"}, {"split": "validation", "path": "piqa_what_is_the_correct_ending/validation-*"}, {"split": "test", "path": "piqa_what_is_the_correct_ending/test-*"}]}, {"config_name": "qasc_is_correct_1", "data_files": [{"split": "train", "path": "qasc_is_correct_1/train-*"}, {"split": "validation", "path": "qasc_is_correct_1/validation-*"}, {"split": "test", "path": "qasc_is_correct_1/test-*"}]}, {"config_name": "qasc_is_correct_2", "data_files": [{"split": "train", "path": "qasc_is_correct_2/train-*"}, {"split": "validation", "path": "qasc_is_correct_2/validation-*"}, {"split": "test", "path": "qasc_is_correct_2/test-*"}]}, {"config_name": "qasc_qa_with_combined_facts_1", "data_files": [{"split": "train", "path": "qasc_qa_with_combined_facts_1/train-*"}, {"split": "validation", "path": "qasc_qa_with_combined_facts_1/validation-*"}, {"split": "test", "path": "qasc_qa_with_combined_facts_1/test-*"}]}, {"config_name": "qasc_qa_with_separated_facts_1", "data_files": [{"split": "train", "path": "qasc_qa_with_separated_facts_1/train-*"}, {"split": "validation", "path": "qasc_qa_with_separated_facts_1/validation-*"}, {"split": "test", "path": "qasc_qa_with_separated_facts_1/test-*"}]}, {"config_name": "qasc_qa_with_separated_facts_2", "data_files": [{"split": "train", "path": "qasc_qa_with_separated_facts_2/train-*"}, {"split": "validation", "path": "qasc_qa_with_separated_facts_2/validation-*"}, {"split": "test", "path": "qasc_qa_with_separated_facts_2/test-*"}]}, {"config_name": "qasc_qa_with_separated_facts_3", "data_files": [{"split": "train", "path": "qasc_qa_with_separated_facts_3/train-*"}, {"split": "validation", "path": "qasc_qa_with_separated_facts_3/validation-*"}, {"split": "test", "path": "qasc_qa_with_separated_facts_3/test-*"}]}, {"config_name": "qasc_qa_with_separated_facts_4", "data_files": [{"split": "train", "path": "qasc_qa_with_separated_facts_4/train-*"}, {"split": "validation", "path": "qasc_qa_with_separated_facts_4/validation-*"}, {"split": "test", "path": "qasc_qa_with_separated_facts_4/test-*"}]}, {"config_name": "qasc_qa_with_separated_facts_5", "data_files": [{"split": "train", "path": "qasc_qa_with_separated_facts_5/train-*"}, {"split": "validation", "path": "qasc_qa_with_separated_facts_5/validation-*"}, {"split": "test", "path": "qasc_qa_with_separated_facts_5/test-*"}]}, {"config_name": "quail_context_description_question_answer_id", "data_files": [{"split": "train", "path": "quail_context_description_question_answer_id/train-*"}, {"split": "validation", "path": "quail_context_description_question_answer_id/validation-*"}, {"split": "challenge", "path": "quail_context_description_question_answer_id/challenge-*"}]}, {"config_name": "quail_context_description_question_answer_text", "data_files": [{"split": "train", "path": "quail_context_description_question_answer_text/train-*"}, {"split": "validation", "path": "quail_context_description_question_answer_text/validation-*"}, {"split": "challenge", "path": "quail_context_description_question_answer_text/challenge-*"}]}, {"config_name": "quail_context_description_question_text", "data_files": [{"split": "train", "path": "quail_context_description_question_text/train-*"}, {"split": "validation", "path": "quail_context_description_question_text/validation-*"}, {"split": "challenge", "path": "quail_context_description_question_text/challenge-*"}]}, {"config_name": "quail_context_question_answer_description_id", "data_files": [{"split": "train", "path": "quail_context_question_answer_description_id/train-*"}, {"split": "validation", "path": "quail_context_question_answer_description_id/validation-*"}, {"split": "challenge", "path": "quail_context_question_answer_description_id/challenge-*"}]}, {"config_name": "quail_context_question_answer_description_text", "data_files": [{"split": "train", "path": "quail_context_question_answer_description_text/train-*"}, {"split": "validation", "path": "quail_context_question_answer_description_text/validation-*"}, {"split": "challenge", "path": "quail_context_question_answer_description_text/challenge-*"}]}, {"config_name": "quail_context_question_description_answer_id", "data_files": [{"split": "train", "path": "quail_context_question_description_answer_id/train-*"}, {"split": "validation", "path": "quail_context_question_description_answer_id/validation-*"}, {"split": "challenge", "path": "quail_context_question_description_answer_id/challenge-*"}]}, {"config_name": "quail_context_question_description_answer_text", "data_files": [{"split": "train", "path": "quail_context_question_description_answer_text/train-*"}, {"split": "validation", "path": "quail_context_question_description_answer_text/validation-*"}, {"split": "challenge", "path": "quail_context_question_description_answer_text/challenge-*"}]}, {"config_name": "quail_context_question_description_text", "data_files": [{"split": "train", "path": "quail_context_question_description_text/train-*"}, {"split": "validation", "path": "quail_context_question_description_text/validation-*"}, {"split": "challenge", "path": "quail_context_question_description_text/challenge-*"}]}, {"config_name": "quail_description_context_question_answer_id", "data_files": [{"split": "train", "path": "quail_description_context_question_answer_id/train-*"}, {"split": "validation", "path": "quail_description_context_question_answer_id/validation-*"}, {"split": "challenge", "path": "quail_description_context_question_answer_id/challenge-*"}]}, {"config_name": "quail_description_context_question_answer_text", "data_files": [{"split": "train", "path": "quail_description_context_question_answer_text/train-*"}, {"split": "validation", "path": "quail_description_context_question_answer_text/validation-*"}, {"split": "challenge", "path": "quail_description_context_question_answer_text/challenge-*"}]}, {"config_name": "quail_description_context_question_text", "data_files": [{"split": "train", "path": "quail_description_context_question_text/train-*"}, {"split": "validation", "path": "quail_description_context_question_text/validation-*"}, {"split": "challenge", "path": "quail_description_context_question_text/challenge-*"}]}, {"config_name": "quail_no_prompt_id", "data_files": [{"split": "train", "path": "quail_no_prompt_id/train-*"}, {"split": "validation", "path": "quail_no_prompt_id/validation-*"}, {"split": "challenge", "path": "quail_no_prompt_id/challenge-*"}]}, {"config_name": "quail_no_prompt_text", "data_files": [{"split": "train", "path": "quail_no_prompt_text/train-*"}, {"split": "validation", "path": "quail_no_prompt_text/validation-*"}, {"split": "challenge", "path": "quail_no_prompt_text/challenge-*"}]}, {"config_name": "quarel_choose_between", "data_files": [{"split": "train", "path": "quarel_choose_between/train-*"}, {"split": "validation", "path": "quarel_choose_between/validation-*"}, {"split": "test", "path": "quarel_choose_between/test-*"}]}, {"config_name": "quarel_do_not_use", "data_files": [{"split": "train", "path": "quarel_do_not_use/train-*"}, {"split": "validation", "path": "quarel_do_not_use/validation-*"}, {"split": "test", "path": "quarel_do_not_use/test-*"}]}, {"config_name": "quarel_heres_a_story", "data_files": [{"split": "train", "path": "quarel_heres_a_story/train-*"}, {"split": "validation", "path": "quarel_heres_a_story/validation-*"}, {"split": "test", "path": "quarel_heres_a_story/test-*"}]}, {"config_name": "quarel_logic_test", "data_files": [{"split": "train", "path": "quarel_logic_test/train-*"}, {"split": "validation", "path": "quarel_logic_test/validation-*"}, {"split": "test", "path": "quarel_logic_test/test-*"}]}, {"config_name": "quarel_testing_students", "data_files": [{"split": "train", "path": "quarel_testing_students/train-*"}, {"split": "validation", "path": "quarel_testing_students/validation-*"}, {"split": "test", "path": "quarel_testing_students/test-*"}]}, {"config_name": "quartz_answer_question_based_on", "data_files": [{"split": "train", "path": "quartz_answer_question_based_on/train-*"}, {"split": "validation", "path": "quartz_answer_question_based_on/validation-*"}, {"split": "test", "path": "quartz_answer_question_based_on/test-*"}]}, {"config_name": "quartz_answer_question_below", "data_files": [{"split": "train", "path": "quartz_answer_question_below/train-*"}, {"split": "validation", "path": "quartz_answer_question_below/validation-*"}, {"split": "test", "path": "quartz_answer_question_below/test-*"}]}, {"config_name": "quartz_given_the_fact_answer_the_q", "data_files": [{"split": "train", "path": "quartz_given_the_fact_answer_the_q/train-*"}, {"split": "validation", "path": "quartz_given_the_fact_answer_the_q/validation-*"}, {"split": "test", "path": "quartz_given_the_fact_answer_the_q/test-*"}]}, {"config_name": "quartz_having_read_above_passage", "data_files": [{"split": "train", "path": "quartz_having_read_above_passage/train-*"}, {"split": "validation", "path": "quartz_having_read_above_passage/validation-*"}, {"split": "test", "path": "quartz_having_read_above_passage/test-*"}]}, {"config_name": "quartz_paragraph_question_plain_concat", "data_files": [{"split": "train", "path": "quartz_paragraph_question_plain_concat/train-*"}, {"split": "validation", "path": "quartz_paragraph_question_plain_concat/validation-*"}, {"split": "test", "path": "quartz_paragraph_question_plain_concat/test-*"}]}, {"config_name": "quartz_read_passage_below_choose", "data_files": [{"split": "train", "path": "quartz_read_passage_below_choose/train-*"}, {"split": "validation", "path": "quartz_read_passage_below_choose/validation-*"}, {"split": "test", "path": "quartz_read_passage_below_choose/test-*"}]}, {"config_name": "quartz_use_info_from_paragraph_question", "data_files": [{"split": "train", "path": "quartz_use_info_from_paragraph_question/train-*"}, {"split": "validation", "path": "quartz_use_info_from_paragraph_question/validation-*"}, {"split": "test", "path": "quartz_use_info_from_paragraph_question/test-*"}]}, {"config_name": "quartz_use_info_from_question_paragraph", "data_files": [{"split": "train", "path": "quartz_use_info_from_question_paragraph/train-*"}, {"split": "validation", "path": "quartz_use_info_from_question_paragraph/validation-*"}, {"split": "test", "path": "quartz_use_info_from_question_paragraph/test-*"}]}, {"config_name": "quoref_Answer_Friend_Question", "data_files": [{"split": "train", "path": "quoref_Answer_Friend_Question/train-*"}, {"split": "validation", "path": "quoref_Answer_Friend_Question/validation-*"}]}, {"config_name": "quoref_Answer_Question_Given_Context", "data_files": [{"split": "train", "path": "quoref_Answer_Question_Given_Context/train-*"}, {"split": "validation", "path": "quoref_Answer_Question_Given_Context/validation-*"}]}, {"config_name": "quoref_Answer_Test", "data_files": [{"split": "train", "path": "quoref_Answer_Test/train-*"}, {"split": "validation", "path": "quoref_Answer_Test/validation-*"}]}, {"config_name": "quoref_Context_Contains_Answer", "data_files": [{"split": "train", "path": "quoref_Context_Contains_Answer/train-*"}, {"split": "validation", "path": "quoref_Context_Contains_Answer/validation-*"}]}, {"config_name": "quoref_Find_Answer", "data_files": [{"split": "train", "path": "quoref_Find_Answer/train-*"}, {"split": "validation", "path": "quoref_Find_Answer/validation-*"}]}, {"config_name": "quoref_Found_Context_Online", "data_files": [{"split": "train", "path": "quoref_Found_Context_Online/train-*"}, {"split": "validation", "path": "quoref_Found_Context_Online/validation-*"}]}, {"config_name": "quoref_Given_Context_Answer_Question", "data_files": [{"split": "train", "path": "quoref_Given_Context_Answer_Question/train-*"}, {"split": "validation", "path": "quoref_Given_Context_Answer_Question/validation-*"}]}, {"config_name": "quoref_Guess_Answer", "data_files": [{"split": "train", "path": "quoref_Guess_Answer/train-*"}, {"split": "validation", "path": "quoref_Guess_Answer/validation-*"}]}, {"config_name": "quoref_Guess_Title_For_Context", "data_files": [{"split": "train", "path": "quoref_Guess_Title_For_Context/train-*"}, {"split": "validation", "path": "quoref_Guess_Title_For_Context/validation-*"}]}, {"config_name": "quoref_Read_And_Extract_", "data_files": [{"split": "train", "path": "quoref_Read_And_Extract_/train-*"}, {"split": "validation", "path": "quoref_Read_And_Extract_/validation-*"}]}, {"config_name": "quoref_What_Is_The_Answer", "data_files": [{"split": "train", "path": "quoref_What_Is_The_Answer/train-*"}, {"split": "validation", "path": "quoref_What_Is_The_Answer/validation-*"}]}, {"config_name": "race_high_Is_this_the_right_answer", "data_files": [{"split": "train", "path": "race_high_Is_this_the_right_answer/train-*"}, {"split": "validation", "path": "race_high_Is_this_the_right_answer/validation-*"}, {"split": "test", "path": "race_high_Is_this_the_right_answer/test-*"}]}, {"config_name": "race_high_Read_the_article_and_answer_the_question_no_option_", "data_files": [{"split": "train", "path": "race_high_Read_the_article_and_answer_the_question_no_option_/train-*"}, {"split": "validation", "path": "race_high_Read_the_article_and_answer_the_question_no_option_/validation-*"}, {"split": "test", "path": "race_high_Read_the_article_and_answer_the_question_no_option_/test-*"}]}, {"config_name": "race_high_Select_the_best_answer", "data_files": [{"split": "train", "path": "race_high_Select_the_best_answer/train-*"}, {"split": "validation", "path": "race_high_Select_the_best_answer/validation-*"}, {"split": "test", "path": "race_high_Select_the_best_answer/test-*"}]}, {"config_name": "race_high_Select_the_best_answer_generate_span_", "data_files": [{"split": "train", "path": "race_high_Select_the_best_answer_generate_span_/train-*"}, {"split": "validation", "path": "race_high_Select_the_best_answer_generate_span_/validation-*"}, {"split": "test", "path": "race_high_Select_the_best_answer_generate_span_/test-*"}]}, {"config_name": "race_high_Select_the_best_answer_no_instructions_", "data_files": [{"split": "train", "path": "race_high_Select_the_best_answer_no_instructions_/train-*"}, {"split": "validation", "path": "race_high_Select_the_best_answer_no_instructions_/validation-*"}, {"split": "test", "path": "race_high_Select_the_best_answer_no_instructions_/test-*"}]}, {"config_name": "race_high_Taking_a_test", "data_files": [{"split": "train", "path": "race_high_Taking_a_test/train-*"}, {"split": "validation", "path": "race_high_Taking_a_test/validation-*"}, {"split": "test", "path": "race_high_Taking_a_test/test-*"}]}, {"config_name": "race_high_Write_a_multi_choice_question_for_the_following_article", "data_files": [{"split": "train", "path": "race_high_Write_a_multi_choice_question_for_the_following_article/train-*"}, {"split": "validation", "path": "race_high_Write_a_multi_choice_question_for_the_following_article/validation-*"}, {"split": "test", "path": "race_high_Write_a_multi_choice_question_for_the_following_article/test-*"}]}, {"config_name": "race_high_Write_a_multi_choice_question_options_given_", "data_files": [{"split": "train", "path": "race_high_Write_a_multi_choice_question_options_given_/train-*"}, {"split": "validation", "path": "race_high_Write_a_multi_choice_question_options_given_/validation-*"}, {"split": "test", "path": "race_high_Write_a_multi_choice_question_options_given_/test-*"}]}, {"config_name": "race_middle_Is_this_the_right_answer", "data_files": [{"split": "train", "path": "race_middle_Is_this_the_right_answer/train-*"}, {"split": "validation", "path": "race_middle_Is_this_the_right_answer/validation-*"}, {"split": "test", "path": "race_middle_Is_this_the_right_answer/test-*"}]}, {"config_name": "race_middle_Read_the_article_and_answer_the_question_no_option_", "data_files": [{"split": "train", "path": "race_middle_Read_the_article_and_answer_the_question_no_option_/train-*"}, {"split": "validation", "path": "race_middle_Read_the_article_and_answer_the_question_no_option_/validation-*"}, {"split": "test", "path": "race_middle_Read_the_article_and_answer_the_question_no_option_/test-*"}]}, {"config_name": "race_middle_Select_the_best_answer", "data_files": [{"split": "train", "path": "race_middle_Select_the_best_answer/train-*"}, {"split": "validation", "path": "race_middle_Select_the_best_answer/validation-*"}, {"split": "test", "path": "race_middle_Select_the_best_answer/test-*"}]}, {"config_name": "race_middle_Select_the_best_answer_generate_span_", "data_files": [{"split": "train", "path": "race_middle_Select_the_best_answer_generate_span_/train-*"}, {"split": "validation", "path": "race_middle_Select_the_best_answer_generate_span_/validation-*"}, {"split": "test", "path": "race_middle_Select_the_best_answer_generate_span_/test-*"}]}, {"config_name": "race_middle_Select_the_best_answer_no_instructions_", "data_files": [{"split": "train", "path": "race_middle_Select_the_best_answer_no_instructions_/train-*"}, {"split": "validation", "path": "race_middle_Select_the_best_answer_no_instructions_/validation-*"}, {"split": "test", "path": "race_middle_Select_the_best_answer_no_instructions_/test-*"}]}, {"config_name": "race_middle_Taking_a_test", "data_files": [{"split": "train", "path": "race_middle_Taking_a_test/train-*"}, {"split": "validation", "path": "race_middle_Taking_a_test/validation-*"}, {"split": "test", "path": "race_middle_Taking_a_test/test-*"}]}, {"config_name": "race_middle_Write_a_multi_choice_question_for_the_following_article", "data_files": [{"split": "train", "path": "race_middle_Write_a_multi_choice_question_for_the_following_article/train-*"}, {"split": "validation", "path": "race_middle_Write_a_multi_choice_question_for_the_following_article/validation-*"}, {"split": "test", "path": "race_middle_Write_a_multi_choice_question_for_the_following_article/test-*"}]}, {"config_name": "race_middle_Write_a_multi_choice_question_options_given_", "data_files": [{"split": "train", "path": "race_middle_Write_a_multi_choice_question_options_given_/train-*"}, {"split": "validation", "path": "race_middle_Write_a_multi_choice_question_options_given_/validation-*"}, {"split": "test", "path": "race_middle_Write_a_multi_choice_question_options_given_/test-*"}]}, {"config_name": "ropes_background_new_situation_answer", "data_files": [{"split": "train", "path": "ropes_background_new_situation_answer/train-*"}, {"split": "validation", "path": "ropes_background_new_situation_answer/validation-*"}]}, {"config_name": "ropes_background_situation_middle", "data_files": [{"split": "train", "path": "ropes_background_situation_middle/train-*"}, {"split": "validation", "path": "ropes_background_situation_middle/validation-*"}]}, {"config_name": "ropes_given_background_situation", "data_files": [{"split": "train", "path": "ropes_given_background_situation/train-*"}, {"split": "validation", "path": "ropes_given_background_situation/validation-*"}]}, {"config_name": "ropes_new_situation_background_answer", "data_files": [{"split": "train", "path": "ropes_new_situation_background_answer/train-*"}, {"split": "validation", "path": "ropes_new_situation_background_answer/validation-*"}]}, {"config_name": "ropes_plain_background_situation", "data_files": [{"split": "train", "path": "ropes_plain_background_situation/train-*"}, {"split": "validation", "path": "ropes_plain_background_situation/validation-*"}]}, {"config_name": "ropes_plain_bottom_hint", "data_files": [{"split": "train", "path": "ropes_plain_bottom_hint/train-*"}, {"split": "validation", "path": "ropes_plain_bottom_hint/validation-*"}]}, {"config_name": "ropes_plain_no_background", "data_files": [{"split": "train", "path": "ropes_plain_no_background/train-*"}, {"split": "validation", "path": "ropes_plain_no_background/validation-*"}]}, {"config_name": "ropes_prompt_beginning", "data_files": [{"split": "train", "path": "ropes_prompt_beginning/train-*"}, {"split": "validation", "path": "ropes_prompt_beginning/validation-*"}]}, {"config_name": "ropes_prompt_bottom_hint_beginning", "data_files": [{"split": "train", "path": "ropes_prompt_bottom_hint_beginning/train-*"}, {"split": "validation", "path": "ropes_prompt_bottom_hint_beginning/validation-*"}]}, {"config_name": "ropes_prompt_bottom_no_hint", "data_files": [{"split": "train", "path": "ropes_prompt_bottom_no_hint/train-*"}, {"split": "validation", "path": "ropes_prompt_bottom_no_hint/validation-*"}]}, {"config_name": "ropes_prompt_mix", "data_files": [{"split": "train", "path": "ropes_prompt_mix/train-*"}, {"split": "validation", "path": "ropes_prompt_mix/validation-*"}]}, {"config_name": "ropes_read_background_situation", "data_files": [{"split": "train", "path": "ropes_read_background_situation/train-*"}, {"split": "validation", "path": "ropes_read_background_situation/validation-*"}]}, {"config_name": "rotten_tomatoes_Movie_Expressed_Sentiment", "data_files": [{"split": "train", "path": "rotten_tomatoes_Movie_Expressed_Sentiment/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Movie_Expressed_Sentiment/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Movie_Expressed_Sentiment/test-*"}]}, {"config_name": "rotten_tomatoes_Movie_Expressed_Sentiment_2", "data_files": [{"split": "train", "path": "rotten_tomatoes_Movie_Expressed_Sentiment_2/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Movie_Expressed_Sentiment_2/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Movie_Expressed_Sentiment_2/test-*"}]}, {"config_name": "rotten_tomatoes_Reviewer_Enjoyment", "data_files": [{"split": "train", "path": "rotten_tomatoes_Reviewer_Enjoyment/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Reviewer_Enjoyment/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Reviewer_Enjoyment/test-*"}]}, {"config_name": "rotten_tomatoes_Reviewer_Enjoyment_Yes_No", "data_files": [{"split": "train", "path": "rotten_tomatoes_Reviewer_Enjoyment_Yes_No/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Reviewer_Enjoyment_Yes_No/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Reviewer_Enjoyment_Yes_No/test-*"}]}, {"config_name": "rotten_tomatoes_Reviewer_Expressed_Sentiment", "data_files": [{"split": "train", "path": "rotten_tomatoes_Reviewer_Expressed_Sentiment/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Reviewer_Expressed_Sentiment/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Reviewer_Expressed_Sentiment/test-*"}]}, {"config_name": "rotten_tomatoes_Reviewer_Opinion_bad_good_choices", "data_files": [{"split": "train", "path": "rotten_tomatoes_Reviewer_Opinion_bad_good_choices/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Reviewer_Opinion_bad_good_choices/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Reviewer_Opinion_bad_good_choices/test-*"}]}, {"config_name": "rotten_tomatoes_Reviewer_Sentiment_Feeling", "data_files": [{"split": "train", "path": "rotten_tomatoes_Reviewer_Sentiment_Feeling/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Reviewer_Sentiment_Feeling/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Reviewer_Sentiment_Feeling/test-*"}]}, {"config_name": "rotten_tomatoes_Sentiment_with_choices_", "data_files": [{"split": "train", "path": "rotten_tomatoes_Sentiment_with_choices_/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Sentiment_with_choices_/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Sentiment_with_choices_/test-*"}]}, {"config_name": "rotten_tomatoes_Text_Expressed_Sentiment", "data_files": [{"split": "train", "path": "rotten_tomatoes_Text_Expressed_Sentiment/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Text_Expressed_Sentiment/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Text_Expressed_Sentiment/test-*"}]}, {"config_name": "rotten_tomatoes_Writer_Expressed_Sentiment", "data_files": [{"split": "train", "path": "rotten_tomatoes_Writer_Expressed_Sentiment/train-*"}, {"split": "validation", "path": "rotten_tomatoes_Writer_Expressed_Sentiment/validation-*"}, {"split": "test", "path": "rotten_tomatoes_Writer_Expressed_Sentiment/test-*"}]}, {"config_name": "samsum_Generate_a_summary_for_this_dialogue", "data_files": [{"split": "train", "path": "samsum_Generate_a_summary_for_this_dialogue/train-*"}, {"split": "validation", "path": "samsum_Generate_a_summary_for_this_dialogue/validation-*"}, {"split": "test", "path": "samsum_Generate_a_summary_for_this_dialogue/test-*"}]}, {"config_name": "samsum_Given_the_above_dialogue_write_a_summary", "data_files": [{"split": "train", "path": "samsum_Given_the_above_dialogue_write_a_summary/train-*"}, {"split": "validation", "path": "samsum_Given_the_above_dialogue_write_a_summary/validation-*"}, {"split": "test", "path": "samsum_Given_the_above_dialogue_write_a_summary/test-*"}]}, {"config_name": "samsum_Sum_up_the_following_dialogue", "data_files": [{"split": "train", "path": "samsum_Sum_up_the_following_dialogue/train-*"}, {"split": "validation", "path": "samsum_Sum_up_the_following_dialogue/validation-*"}, {"split": "test", "path": "samsum_Sum_up_the_following_dialogue/test-*"}]}, {"config_name": "samsum_Summarize_", "data_files": [{"split": "train", "path": "samsum_Summarize_/train-*"}, {"split": "validation", "path": "samsum_Summarize_/validation-*"}, {"split": "test", "path": "samsum_Summarize_/test-*"}]}, {"config_name": "samsum_Summarize_this_dialogue_", "data_files": [{"split": "train", "path": "samsum_Summarize_this_dialogue_/train-*"}, {"split": "validation", "path": "samsum_Summarize_this_dialogue_/validation-*"}, {"split": "test", "path": "samsum_Summarize_this_dialogue_/test-*"}]}, {"config_name": "samsum_To_sum_up_this_dialog", "data_files": [{"split": "train", "path": "samsum_To_sum_up_this_dialog/train-*"}, {"split": "validation", "path": "samsum_To_sum_up_this_dialog/validation-*"}, {"split": "test", "path": "samsum_To_sum_up_this_dialog/test-*"}]}, {"config_name": "samsum_Write_a_dialogue_that_match_this_summary", "data_files": [{"split": "train", "path": "samsum_Write_a_dialogue_that_match_this_summary/train-*"}, {"split": "validation", "path": "samsum_Write_a_dialogue_that_match_this_summary/validation-*"}, {"split": "test", "path": "samsum_Write_a_dialogue_that_match_this_summary/test-*"}]}, {"config_name": "sciq_Direct_Question", "data_files": [{"split": "train", "path": "sciq_Direct_Question/train-*"}, {"split": "validation", "path": "sciq_Direct_Question/validation-*"}, {"split": "test", "path": "sciq_Direct_Question/test-*"}]}, {"config_name": "sciq_Direct_Question_Closed_Book_", "data_files": [{"split": "train", "path": "sciq_Direct_Question_Closed_Book_/train-*"}, {"split": "validation", "path": "sciq_Direct_Question_Closed_Book_/validation-*"}, {"split": "test", "path": "sciq_Direct_Question_Closed_Book_/test-*"}]}, {"config_name": "sciq_Multiple_Choice", "data_files": [{"split": "train", "path": "sciq_Multiple_Choice/train-*"}, {"split": "validation", "path": "sciq_Multiple_Choice/validation-*"}, {"split": "test", "path": "sciq_Multiple_Choice/test-*"}]}, {"config_name": "sciq_Multiple_Choice_Closed_Book_", "data_files": [{"split": "train", "path": "sciq_Multiple_Choice_Closed_Book_/train-*"}, {"split": "validation", "path": "sciq_Multiple_Choice_Closed_Book_/validation-*"}, {"split": "test", "path": "sciq_Multiple_Choice_Closed_Book_/test-*"}]}, {"config_name": "sciq_Multiple_Choice_Question_First", "data_files": [{"split": "train", "path": "sciq_Multiple_Choice_Question_First/train-*"}, {"split": "validation", "path": "sciq_Multiple_Choice_Question_First/validation-*"}, {"split": "test", "path": "sciq_Multiple_Choice_Question_First/test-*"}]}, {"config_name": "social_i_qa_Check_if_a_random_answer_is_valid_or_not", "data_files": [{"split": "train", "path": "social_i_qa_Check_if_a_random_answer_is_valid_or_not/train-*"}, {"split": "validation", "path": "social_i_qa_Check_if_a_random_answer_is_valid_or_not/validation-*"}]}, {"config_name": "social_i_qa_Generate_answer", "data_files": [{"split": "train", "path": "social_i_qa_Generate_answer/train-*"}, {"split": "validation", "path": "social_i_qa_Generate_answer/validation-*"}]}, {"config_name": "social_i_qa_Generate_the_question_from_the_answer", "data_files": [{"split": "train", "path": "social_i_qa_Generate_the_question_from_the_answer/train-*"}, {"split": "validation", "path": "social_i_qa_Generate_the_question_from_the_answer/validation-*"}]}, {"config_name": "social_i_qa_I_was_wondering", "data_files": [{"split": "train", "path": "social_i_qa_I_was_wondering/train-*"}, {"split": "validation", "path": "social_i_qa_I_was_wondering/validation-*"}]}, {"config_name": "social_i_qa_Show_choices_and_generate_answer", "data_files": [{"split": "train", "path": "social_i_qa_Show_choices_and_generate_answer/train-*"}, {"split": "validation", "path": "social_i_qa_Show_choices_and_generate_answer/validation-*"}]}, {"config_name": "social_i_qa_Show_choices_and_generate_index", "data_files": [{"split": "train", "path": "social_i_qa_Show_choices_and_generate_index/train-*"}, {"split": "validation", "path": "social_i_qa_Show_choices_and_generate_index/validation-*"}]}, {"config_name": "squad_v2_Jeopardy_with_Context", "data_files": [{"split": "train", "path": "squad_v2_Jeopardy_with_Context/train-*"}, {"split": "validation", "path": "squad_v2_Jeopardy_with_Context/validation-*"}]}, {"config_name": "squad_v2_Jeopardy_without_Context", "data_files": [{"split": "train", "path": "squad_v2_Jeopardy_without_Context/train-*"}, {"split": "validation", "path": "squad_v2_Jeopardy_without_Context/validation-*"}]}, {"config_name": "squad_v2_Questions_with_Context", "data_files": [{"split": "train", "path": "squad_v2_Questions_with_Context/train-*"}, {"split": "validation", "path": "squad_v2_Questions_with_Context/validation-*"}]}, {"config_name": "squad_v2_Questions_with_Context_Without_Prompt_Keywords", "data_files": [{"split": "train", "path": "squad_v2_Questions_with_Context_Without_Prompt_Keywords/train-*"}, {"split": "validation", "path": "squad_v2_Questions_with_Context_Without_Prompt_Keywords/validation-*"}]}, {"config_name": "squad_v2_Questions_with_Context_Without_Prompt_Keywords_unanswerable", "data_files": [{"split": "train", "path": "squad_v2_Questions_with_Context_Without_Prompt_Keywords_unanswerable/train-*"}, {"split": "validation", "path": "squad_v2_Questions_with_Context_Without_Prompt_Keywords_unanswerable/validation-*"}]}, {"config_name": "squad_v2_Questions_with_Context_unanswerable", "data_files": [{"split": "train", "path": "squad_v2_Questions_with_Context_unanswerable/train-*"}, {"split": "validation", "path": "squad_v2_Questions_with_Context_unanswerable/validation-*"}]}, {"config_name": "squad_v2_Topic_Prediction_Context", "data_files": [{"split": "train", "path": "squad_v2_Topic_Prediction_Context/train-*"}, {"split": "validation", "path": "squad_v2_Topic_Prediction_Context/validation-*"}]}, {"config_name": "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options", "data_files": [{"split": "train", "path": "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options/train-*"}, {"split": "validation", "path": "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options/validation-*"}]}, {"config_name": "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options_placed_in_the_end", "data_files": [{"split": "train", "path": "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options_placed_in_the_end/train-*"}, {"split": "validation", "path": "squad_v2_Topic_Prediction_Context_with_randomized_prompt_options_placed_in_the_end/validation-*"}]}, {"config_name": "squad_v2_Topic_Prediction_Question_and_Answer_Pair", "data_files": [{"split": "train", "path": "squad_v2_Topic_Prediction_Question_and_Answer_Pair/train-*"}, {"split": "validation", "path": "squad_v2_Topic_Prediction_Question_and_Answer_Pair/validation-*"}]}, {"config_name": "squad_v2_Trivia", "data_files": [{"split": "train", "path": "squad_v2_Trivia/train-*"}, {"split": "validation", "path": "squad_v2_Trivia/validation-*"}]}, {"config_name": "squad_v2_Unanwerable_question", "data_files": [{"split": "train", "path": "squad_v2_Unanwerable_question/train-*"}, {"split": "validation", "path": "squad_v2_Unanwerable_question/validation-*"}]}, {"config_name": "super_glue_boolq_GPT_3_Style", "data_files": [{"split": "train", "path": "super_glue_boolq_GPT_3_Style/train-*"}, {"split": "validation", "path": "super_glue_boolq_GPT_3_Style/validation-*"}, {"split": "test", "path": "super_glue_boolq_GPT_3_Style/test-*"}]}, {"config_name": "super_glue_boolq_I_wonder_", "data_files": [{"split": "train", "path": "super_glue_boolq_I_wonder_/train-*"}, {"split": "validation", "path": "super_glue_boolq_I_wonder_/validation-*"}, {"split": "test", "path": "super_glue_boolq_I_wonder_/test-*"}]}, {"config_name": "super_glue_boolq_after_reading", "data_files": [{"split": "train", "path": "super_glue_boolq_after_reading/train-*"}, {"split": "validation", "path": "super_glue_boolq_after_reading/validation-*"}, {"split": "test", "path": "super_glue_boolq_after_reading/test-*"}]}, {"config_name": "super_glue_boolq_based_on_the_following_passage", "data_files": [{"split": "train", "path": "super_glue_boolq_based_on_the_following_passage/train-*"}, {"split": "validation", "path": "super_glue_boolq_based_on_the_following_passage/validation-*"}, {"split": "test", "path": "super_glue_boolq_based_on_the_following_passage/test-*"}]}, {"config_name": "super_glue_boolq_based_on_the_previous_passage", "data_files": [{"split": "train", "path": "super_glue_boolq_based_on_the_previous_passage/train-*"}, {"split": "validation", "path": "super_glue_boolq_based_on_the_previous_passage/validation-*"}, {"split": "test", "path": "super_glue_boolq_based_on_the_previous_passage/test-*"}]}, {"config_name": "super_glue_boolq_could_you_tell_me_", "data_files": [{"split": "train", "path": "super_glue_boolq_could_you_tell_me_/train-*"}, {"split": "validation", "path": "super_glue_boolq_could_you_tell_me_/validation-*"}, {"split": "test", "path": "super_glue_boolq_could_you_tell_me_/test-*"}]}, {"config_name": "super_glue_boolq_exam", "data_files": [{"split": "train", "path": "super_glue_boolq_exam/train-*"}, {"split": "validation", "path": "super_glue_boolq_exam/validation-*"}, {"split": "test", "path": "super_glue_boolq_exam/test-*"}]}, {"config_name": "super_glue_boolq_exercise", "data_files": [{"split": "train", "path": "super_glue_boolq_exercise/train-*"}, {"split": "validation", "path": "super_glue_boolq_exercise/validation-*"}, {"split": "test", "path": "super_glue_boolq_exercise/test-*"}]}, {"config_name": "super_glue_boolq_valid_binary", "data_files": [{"split": "train", "path": "super_glue_boolq_valid_binary/train-*"}, {"split": "validation", "path": "super_glue_boolq_valid_binary/validation-*"}, {"split": "test", "path": "super_glue_boolq_valid_binary/test-*"}]}, {"config_name": "super_glue_boolq_yes_no_question", "data_files": [{"split": "train", "path": "super_glue_boolq_yes_no_question/train-*"}, {"split": "validation", "path": "super_glue_boolq_yes_no_question/validation-*"}, {"split": "test", "path": "super_glue_boolq_yes_no_question/test-*"}]}, {"config_name": "super_glue_cb_GPT_3_style", "data_files": [{"split": "train", "path": "super_glue_cb_GPT_3_style/train-*"}, {"split": "validation", "path": "super_glue_cb_GPT_3_style/validation-*"}, {"split": "test", "path": "super_glue_cb_GPT_3_style/test-*"}]}, {"config_name": "super_glue_cb_GPT_3_style_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_GPT_3_style_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_GPT_3_style_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_GPT_3_style_score_eval/test-*"}]}, {"config_name": "super_glue_cb_MNLI_crowdsource", "data_files": [{"split": "train", "path": "super_glue_cb_MNLI_crowdsource/train-*"}, {"split": "validation", "path": "super_glue_cb_MNLI_crowdsource/validation-*"}, {"split": "test", "path": "super_glue_cb_MNLI_crowdsource/test-*"}]}, {"config_name": "super_glue_cb_MNLI_crowdsource_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_MNLI_crowdsource_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_MNLI_crowdsource_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_MNLI_crowdsource_score_eval/test-*"}]}, {"config_name": "super_glue_cb_always_sometimes_never", "data_files": [{"split": "train", "path": "super_glue_cb_always_sometimes_never/train-*"}, {"split": "validation", "path": "super_glue_cb_always_sometimes_never/validation-*"}, {"split": "test", "path": "super_glue_cb_always_sometimes_never/test-*"}]}, {"config_name": "super_glue_cb_always_sometimes_never_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_always_sometimes_never_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_always_sometimes_never_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_always_sometimes_never_score_eval/test-*"}]}, {"config_name": "super_glue_cb_based_on_the_previous_passage", "data_files": [{"split": "train", "path": "super_glue_cb_based_on_the_previous_passage/train-*"}, {"split": "validation", "path": "super_glue_cb_based_on_the_previous_passage/validation-*"}, {"split": "test", "path": "super_glue_cb_based_on_the_previous_passage/test-*"}]}, {"config_name": "super_glue_cb_based_on_the_previous_passage_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_based_on_the_previous_passage_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_based_on_the_previous_passage_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_based_on_the_previous_passage_score_eval/test-*"}]}, {"config_name": "super_glue_cb_can_we_infer", "data_files": [{"split": "train", "path": "super_glue_cb_can_we_infer/train-*"}, {"split": "validation", "path": "super_glue_cb_can_we_infer/validation-*"}, {"split": "test", "path": "super_glue_cb_can_we_infer/test-*"}]}, {"config_name": "super_glue_cb_can_we_infer_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_can_we_infer_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_can_we_infer_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_can_we_infer_score_eval/test-*"}]}, {"config_name": "super_glue_cb_claim_true_false_inconclusive", "data_files": [{"split": "train", "path": "super_glue_cb_claim_true_false_inconclusive/train-*"}, {"split": "validation", "path": "super_glue_cb_claim_true_false_inconclusive/validation-*"}, {"split": "test", "path": "super_glue_cb_claim_true_false_inconclusive/test-*"}]}, {"config_name": "super_glue_cb_claim_true_false_inconclusive_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_claim_true_false_inconclusive_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_claim_true_false_inconclusive_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_claim_true_false_inconclusive_score_eval/test-*"}]}, {"config_name": "super_glue_cb_consider_always_sometimes_never", "data_files": [{"split": "train", "path": "super_glue_cb_consider_always_sometimes_never/train-*"}, {"split": "validation", "path": "super_glue_cb_consider_always_sometimes_never/validation-*"}, {"split": "test", "path": "super_glue_cb_consider_always_sometimes_never/test-*"}]}, {"config_name": "super_glue_cb_consider_always_sometimes_never_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_consider_always_sometimes_never_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_consider_always_sometimes_never_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_consider_always_sometimes_never_score_eval/test-*"}]}, {"config_name": "super_glue_cb_does_it_follow_that", "data_files": [{"split": "train", "path": "super_glue_cb_does_it_follow_that/train-*"}, {"split": "validation", "path": "super_glue_cb_does_it_follow_that/validation-*"}, {"split": "test", "path": "super_glue_cb_does_it_follow_that/test-*"}]}, {"config_name": "super_glue_cb_does_it_follow_that_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_does_it_follow_that_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_does_it_follow_that_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_does_it_follow_that_score_eval/test-*"}]}, {"config_name": "super_glue_cb_does_this_imply", "data_files": [{"split": "train", "path": "super_glue_cb_does_this_imply/train-*"}, {"split": "validation", "path": "super_glue_cb_does_this_imply/validation-*"}, {"split": "test", "path": "super_glue_cb_does_this_imply/test-*"}]}, {"config_name": "super_glue_cb_does_this_imply_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_does_this_imply_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_does_this_imply_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_does_this_imply_score_eval/test-*"}]}, {"config_name": "super_glue_cb_guaranteed_possible_impossible", "data_files": [{"split": "train", "path": "super_glue_cb_guaranteed_possible_impossible/train-*"}, {"split": "validation", "path": "super_glue_cb_guaranteed_possible_impossible/validation-*"}, {"split": "test", "path": "super_glue_cb_guaranteed_possible_impossible/test-*"}]}, {"config_name": "super_glue_cb_guaranteed_possible_impossible_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_guaranteed_possible_impossible_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_guaranteed_possible_impossible_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_guaranteed_possible_impossible_score_eval/test-*"}]}, {"config_name": "super_glue_cb_guaranteed_true", "data_files": [{"split": "train", "path": "super_glue_cb_guaranteed_true/train-*"}, {"split": "validation", "path": "super_glue_cb_guaranteed_true/validation-*"}, {"split": "test", "path": "super_glue_cb_guaranteed_true/test-*"}]}, {"config_name": "super_glue_cb_guaranteed_true_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_guaranteed_true_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_guaranteed_true_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_guaranteed_true_score_eval/test-*"}]}, {"config_name": "super_glue_cb_justified_in_saying", "data_files": [{"split": "train", "path": "super_glue_cb_justified_in_saying/train-*"}, {"split": "validation", "path": "super_glue_cb_justified_in_saying/validation-*"}, {"split": "test", "path": "super_glue_cb_justified_in_saying/test-*"}]}, {"config_name": "super_glue_cb_justified_in_saying_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_justified_in_saying_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_justified_in_saying_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_justified_in_saying_score_eval/test-*"}]}, {"config_name": "super_glue_cb_must_be_true", "data_files": [{"split": "train", "path": "super_glue_cb_must_be_true/train-*"}, {"split": "validation", "path": "super_glue_cb_must_be_true/validation-*"}, {"split": "test", "path": "super_glue_cb_must_be_true/test-*"}]}, {"config_name": "super_glue_cb_must_be_true_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_must_be_true_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_must_be_true_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_must_be_true_score_eval/test-*"}]}, {"config_name": "super_glue_cb_should_assume", "data_files": [{"split": "train", "path": "super_glue_cb_should_assume/train-*"}, {"split": "validation", "path": "super_glue_cb_should_assume/validation-*"}, {"split": "test", "path": "super_glue_cb_should_assume/test-*"}]}, {"config_name": "super_glue_cb_should_assume_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_should_assume_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_should_assume_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_should_assume_score_eval/test-*"}]}, {"config_name": "super_glue_cb_take_the_following_as_truth", "data_files": [{"split": "train", "path": "super_glue_cb_take_the_following_as_truth/train-*"}, {"split": "validation", "path": "super_glue_cb_take_the_following_as_truth/validation-*"}, {"split": "test", "path": "super_glue_cb_take_the_following_as_truth/test-*"}]}, {"config_name": "super_glue_cb_take_the_following_as_truth_score_eval", "data_files": [{"split": "train", "path": "super_glue_cb_take_the_following_as_truth_score_eval/train-*"}, {"split": "validation", "path": "super_glue_cb_take_the_following_as_truth_score_eval/validation-*"}, {"split": "test", "path": "super_glue_cb_take_the_following_as_truth_score_eval/test-*"}]}, {"config_name": "super_glue_copa_C1_or_C2_premise_so_because_", "data_files": [{"split": "train", "path": "super_glue_copa_C1_or_C2_premise_so_because_/train-*"}, {"split": "validation", "path": "super_glue_copa_C1_or_C2_premise_so_because_/validation-*"}, {"split": "test", "path": "super_glue_copa_C1_or_C2_premise_so_because_/test-*"}]}, {"config_name": "super_glue_copa_C1_or_C2_premise_so_because__score_eval", "data_files": [{"split": "train", "path": "super_glue_copa_C1_or_C2_premise_so_because__score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa_C1_or_C2_premise_so_because__score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa_C1_or_C2_premise_so_because__score_eval/test-*"}]}, {"config_name": "super_glue_copa__As_a_result_C1_or_C2_", "data_files": [{"split": "train", "path": "super_glue_copa__As_a_result_C1_or_C2_/train-*"}, {"split": "validation", "path": "super_glue_copa__As_a_result_C1_or_C2_/validation-*"}, {"split": "test", "path": "super_glue_copa__As_a_result_C1_or_C2_/test-*"}]}, {"config_name": "super_glue_copa__As_a_result_C1_or_C2__score_eval", "data_files": [{"split": "train", "path": "super_glue_copa__As_a_result_C1_or_C2__score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa__As_a_result_C1_or_C2__score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa__As_a_result_C1_or_C2__score_eval/test-*"}]}, {"config_name": "super_glue_copa__What_could_happen_next_C1_or_C2_", "data_files": [{"split": "train", "path": "super_glue_copa__What_could_happen_next_C1_or_C2_/train-*"}, {"split": "validation", "path": "super_glue_copa__What_could_happen_next_C1_or_C2_/validation-*"}, {"split": "test", "path": "super_glue_copa__What_could_happen_next_C1_or_C2_/test-*"}]}, {"config_name": "super_glue_copa__What_could_happen_next_C1_or_C2__score_eval", "data_files": [{"split": "train", "path": "super_glue_copa__What_could_happen_next_C1_or_C2__score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa__What_could_happen_next_C1_or_C2__score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa__What_could_happen_next_C1_or_C2__score_eval/test-*"}]}, {"config_name": "super_glue_copa__which_may_be_caused_by", "data_files": [{"split": "train", "path": "super_glue_copa__which_may_be_caused_by/train-*"}, {"split": "validation", "path": "super_glue_copa__which_may_be_caused_by/validation-*"}, {"split": "test", "path": "super_glue_copa__which_may_be_caused_by/test-*"}]}, {"config_name": "super_glue_copa__which_may_be_caused_by_score_eval", "data_files": [{"split": "train", "path": "super_glue_copa__which_may_be_caused_by_score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa__which_may_be_caused_by_score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa__which_may_be_caused_by_score_eval/test-*"}]}, {"config_name": "super_glue_copa__why_C1_or_C2", "data_files": [{"split": "train", "path": "super_glue_copa__why_C1_or_C2/train-*"}, {"split": "validation", "path": "super_glue_copa__why_C1_or_C2/validation-*"}, {"split": "test", "path": "super_glue_copa__why_C1_or_C2/test-*"}]}, {"config_name": "super_glue_copa__why_C1_or_C2_score_eval", "data_files": [{"split": "train", "path": "super_glue_copa__why_C1_or_C2_score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa__why_C1_or_C2_score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa__why_C1_or_C2_score_eval/test-*"}]}, {"config_name": "super_glue_copa_best_option", "data_files": [{"split": "train", "path": "super_glue_copa_best_option/train-*"}, {"split": "validation", "path": "super_glue_copa_best_option/validation-*"}, {"split": "test", "path": "super_glue_copa_best_option/test-*"}]}, {"config_name": "super_glue_copa_best_option_score_eval", "data_files": [{"split": "train", "path": "super_glue_copa_best_option_score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa_best_option_score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa_best_option_score_eval/test-*"}]}, {"config_name": "super_glue_copa_cause_effect", "data_files": [{"split": "train", "path": "super_glue_copa_cause_effect/train-*"}, {"split": "validation", "path": "super_glue_copa_cause_effect/validation-*"}, {"split": "test", "path": "super_glue_copa_cause_effect/test-*"}]}, {"config_name": "super_glue_copa_cause_effect_score_eval", "data_files": [{"split": "train", "path": "super_glue_copa_cause_effect_score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa_cause_effect_score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa_cause_effect_score_eval/test-*"}]}, {"config_name": "super_glue_copa_choose", "data_files": [{"split": "train", "path": "super_glue_copa_choose/train-*"}, {"split": "validation", "path": "super_glue_copa_choose/validation-*"}, {"split": "test", "path": "super_glue_copa_choose/test-*"}]}, {"config_name": "super_glue_copa_choose_score_eval", "data_files": [{"split": "train", "path": "super_glue_copa_choose_score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa_choose_score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa_choose_score_eval/test-*"}]}, {"config_name": "super_glue_copa_exercise", "data_files": [{"split": "train", "path": "super_glue_copa_exercise/train-*"}, {"split": "validation", "path": "super_glue_copa_exercise/validation-*"}, {"split": "test", "path": "super_glue_copa_exercise/test-*"}]}, {"config_name": "super_glue_copa_exercise_score_eval", "data_files": [{"split": "train", "path": "super_glue_copa_exercise_score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa_exercise_score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa_exercise_score_eval/test-*"}]}, {"config_name": "super_glue_copa_i_am_hesitating", "data_files": [{"split": "train", "path": "super_glue_copa_i_am_hesitating/train-*"}, {"split": "validation", "path": "super_glue_copa_i_am_hesitating/validation-*"}, {"split": "test", "path": "super_glue_copa_i_am_hesitating/test-*"}]}, {"config_name": "super_glue_copa_i_am_hesitating_score_eval", "data_files": [{"split": "train", "path": "super_glue_copa_i_am_hesitating_score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa_i_am_hesitating_score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa_i_am_hesitating_score_eval/test-*"}]}, {"config_name": "super_glue_copa_more_likely", "data_files": [{"split": "train", "path": "super_glue_copa_more_likely/train-*"}, {"split": "validation", "path": "super_glue_copa_more_likely/validation-*"}, {"split": "test", "path": "super_glue_copa_more_likely/test-*"}]}, {"config_name": "super_glue_copa_more_likely_score_eval", "data_files": [{"split": "train", "path": "super_glue_copa_more_likely_score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa_more_likely_score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa_more_likely_score_eval/test-*"}]}, {"config_name": "super_glue_copa_plausible_alternatives", "data_files": [{"split": "train", "path": "super_glue_copa_plausible_alternatives/train-*"}, {"split": "validation", "path": "super_glue_copa_plausible_alternatives/validation-*"}, {"split": "test", "path": "super_glue_copa_plausible_alternatives/test-*"}]}, {"config_name": "super_glue_copa_plausible_alternatives_score_eval", "data_files": [{"split": "train", "path": "super_glue_copa_plausible_alternatives_score_eval/train-*"}, {"split": "validation", "path": "super_glue_copa_plausible_alternatives_score_eval/validation-*"}, {"split": "test", "path": "super_glue_copa_plausible_alternatives_score_eval/test-*"}]}, {"config_name": "super_glue_multirc_I_was_going_to_say_", "data_files": [{"split": "train", "path": "super_glue_multirc_I_was_going_to_say_/train-*"}, {"split": "validation", "path": "super_glue_multirc_I_was_going_to_say_/validation-*"}, {"split": "test", "path": "super_glue_multirc_I_was_going_to_say_/test-*"}]}, {"config_name": "super_glue_multirc_Would_it_be_good_to_answer_", "data_files": [{"split": "train", "path": "super_glue_multirc_Would_it_be_good_to_answer_/train-*"}, {"split": "validation", "path": "super_glue_multirc_Would_it_be_good_to_answer_/validation-*"}, {"split": "test", "path": "super_glue_multirc_Would_it_be_good_to_answer_/test-*"}]}, {"config_name": "super_glue_multirc_confirm", "data_files": [{"split": "train", "path": "super_glue_multirc_confirm/train-*"}, {"split": "validation", "path": "super_glue_multirc_confirm/validation-*"}, {"split": "test", "path": "super_glue_multirc_confirm/test-*"}]}, {"config_name": "super_glue_multirc_correct", "data_files": [{"split": "train", "path": "super_glue_multirc_correct/train-*"}, {"split": "validation", "path": "super_glue_multirc_correct/validation-*"}, {"split": "test", "path": "super_glue_multirc_correct/test-*"}]}, {"config_name": "super_glue_multirc_decide_valid", "data_files": [{"split": "train", "path": "super_glue_multirc_decide_valid/train-*"}, {"split": "validation", "path": "super_glue_multirc_decide_valid/validation-*"}, {"split": "test", "path": "super_glue_multirc_decide_valid/test-*"}]}, {"config_name": "super_glue_multirc_found_this_answer", "data_files": [{"split": "train", "path": "super_glue_multirc_found_this_answer/train-*"}, {"split": "validation", "path": "super_glue_multirc_found_this_answer/validation-*"}, {"split": "test", "path": "super_glue_multirc_found_this_answer/test-*"}]}, {"config_name": "super_glue_multirc_grading", "data_files": [{"split": "train", "path": "super_glue_multirc_grading/train-*"}, {"split": "validation", "path": "super_glue_multirc_grading/validation-*"}, {"split": "test", "path": "super_glue_multirc_grading/test-*"}]}, {"config_name": "super_glue_multirc_is_a_correct_answer_", "data_files": [{"split": "train", "path": "super_glue_multirc_is_a_correct_answer_/train-*"}, {"split": "validation", "path": "super_glue_multirc_is_a_correct_answer_/validation-*"}, {"split": "test", "path": "super_glue_multirc_is_a_correct_answer_/test-*"}]}, {"config_name": "super_glue_multirc_is_the_correct_answer_", "data_files": [{"split": "train", "path": "super_glue_multirc_is_the_correct_answer_/train-*"}, {"split": "validation", "path": "super_glue_multirc_is_the_correct_answer_/validation-*"}, {"split": "test", "path": "super_glue_multirc_is_the_correct_answer_/test-*"}]}, {"config_name": "super_glue_multirc_paragraph_question_is_it_", "data_files": [{"split": "train", "path": "super_glue_multirc_paragraph_question_is_it_/train-*"}, {"split": "validation", "path": "super_glue_multirc_paragraph_question_is_it_/validation-*"}, {"split": "test", "path": "super_glue_multirc_paragraph_question_is_it_/test-*"}]}, {"config_name": "super_glue_record_Add_sentence_after_after_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_Add_sentence_after_after_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_Add_sentence_after_after_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_Add_sentence_after_after_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_Add_sentence_after_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_Add_sentence_after_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_Add_sentence_after_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_Add_sentence_after_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_Can_you_figure_out_", "data_files": [{"split": "train", "path": "super_glue_record_Can_you_figure_out_/train-*"}, {"split": "validation", "path": "super_glue_record_Can_you_figure_out_/validation-*"}, {"split": "test", "path": "super_glue_record_Can_you_figure_out_/test-*"}]}, {"config_name": "super_glue_record_GPT_3_style_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_GPT_3_style_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_GPT_3_style_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_GPT_3_style_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_GPT_3_style_summary_only_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_GPT_3_style_summary_only_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_GPT_3_style_summary_only_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_GPT_3_style_summary_only_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_GPT_3_style_with_labels_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_GPT_3_style_with_labels_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_GPT_3_style_with_labels_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_GPT_3_style_with_labels_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_GPT_3_style_with_labels_without_hyphens_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_GPT_3_style_with_labels_without_hyphens_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_GPT_3_style_with_labels_without_hyphens_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_GPT_3_style_with_labels_without_hyphens_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_GPT_3_style_without_hyphens_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_GPT_3_style_without_hyphens_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_GPT_3_style_without_hyphens_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_GPT_3_style_without_hyphens_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_In_the_question_above_the_placeholder_stands_for", "data_files": [{"split": "train", "path": "super_glue_record_In_the_question_above_the_placeholder_stands_for/train-*"}, {"split": "validation", "path": "super_glue_record_In_the_question_above_the_placeholder_stands_for/validation-*"}, {"split": "test", "path": "super_glue_record_In_the_question_above_the_placeholder_stands_for/test-*"}]}, {"config_name": "super_glue_record_New_highlight_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_New_highlight_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_New_highlight_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_New_highlight_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_News_article_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_News_article_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_News_article_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_News_article_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_Summary_first_continuation_choices_", "data_files": [{"split": "train", "path": "super_glue_record_Summary_first_continuation_choices_/train-*"}, {"split": "validation", "path": "super_glue_record_Summary_first_continuation_choices_/validation-*"}, {"split": "test", "path": "super_glue_record_Summary_first_continuation_choices_/test-*"}]}, {"config_name": "super_glue_record_What_could_the_placeholder_be_", "data_files": [{"split": "train", "path": "super_glue_record_What_could_the_placeholder_be_/train-*"}, {"split": "validation", "path": "super_glue_record_What_could_the_placeholder_be_/validation-*"}, {"split": "test", "path": "super_glue_record_What_could_the_placeholder_be_/test-*"}]}, {"config_name": "super_glue_record_Which_one_is_the_placeholder_", "data_files": [{"split": "train", "path": "super_glue_record_Which_one_is_the_placeholder_/train-*"}, {"split": "validation", "path": "super_glue_record_Which_one_is_the_placeholder_/validation-*"}, {"split": "test", "path": "super_glue_record_Which_one_is_the_placeholder_/test-*"}]}, {"config_name": "super_glue_record_choose_between", "data_files": [{"split": "train", "path": "super_glue_record_choose_between/train-*"}, {"split": "validation", "path": "super_glue_record_choose_between/validation-*"}, {"split": "test", "path": "super_glue_record_choose_between/test-*"}]}, {"config_name": "super_glue_record_corrupted", "data_files": [{"split": "train", "path": "super_glue_record_corrupted/train-*"}, {"split": "validation", "path": "super_glue_record_corrupted/validation-*"}, {"split": "test", "path": "super_glue_record_corrupted/test-*"}]}, {"config_name": "super_glue_record_exercise", "data_files": [{"split": "train", "path": "super_glue_record_exercise/train-*"}, {"split": "validation", "path": "super_glue_record_exercise/validation-*"}, {"split": "test", "path": "super_glue_record_exercise/test-*"}]}, {"config_name": "super_glue_record_pick_one_option", "data_files": [{"split": "train", "path": "super_glue_record_pick_one_option/train-*"}, {"split": "validation", "path": "super_glue_record_pick_one_option/validation-*"}, {"split": "test", "path": "super_glue_record_pick_one_option/test-*"}]}, {"config_name": "super_glue_record_the_placeholder_refers_to_", "data_files": [{"split": "train", "path": "super_glue_record_the_placeholder_refers_to_/train-*"}, {"split": "validation", "path": "super_glue_record_the_placeholder_refers_to_/validation-*"}, {"split": "test", "path": "super_glue_record_the_placeholder_refers_to_/test-*"}]}, {"config_name": "super_glue_record_trying_to_decide", "data_files": [{"split": "train", "path": "super_glue_record_trying_to_decide/train-*"}, {"split": "validation", "path": "super_glue_record_trying_to_decide/validation-*"}, {"split": "test", "path": "super_glue_record_trying_to_decide/test-*"}]}, {"config_name": "super_glue_rte_GPT_3_style", "data_files": [{"split": "train", "path": "super_glue_rte_GPT_3_style/train-*"}, {"split": "validation", "path": "super_glue_rte_GPT_3_style/validation-*"}, {"split": "test", "path": "super_glue_rte_GPT_3_style/test-*"}]}, {"config_name": "super_glue_rte_GPT_3_style_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_GPT_3_style_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_GPT_3_style_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_GPT_3_style_score_eval/test-*"}]}, {"config_name": "super_glue_rte_MNLI_crowdsource", "data_files": [{"split": "train", "path": "super_glue_rte_MNLI_crowdsource/train-*"}, {"split": "validation", "path": "super_glue_rte_MNLI_crowdsource/validation-*"}, {"split": "test", "path": "super_glue_rte_MNLI_crowdsource/test-*"}]}, {"config_name": "super_glue_rte_MNLI_crowdsource_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_MNLI_crowdsource_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_MNLI_crowdsource_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_MNLI_crowdsource_score_eval/test-*"}]}, {"config_name": "super_glue_rte_based_on_the_previous_passage", "data_files": [{"split": "train", "path": "super_glue_rte_based_on_the_previous_passage/train-*"}, {"split": "validation", "path": "super_glue_rte_based_on_the_previous_passage/validation-*"}, {"split": "test", "path": "super_glue_rte_based_on_the_previous_passage/test-*"}]}, {"config_name": "super_glue_rte_based_on_the_previous_passage_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_based_on_the_previous_passage_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_based_on_the_previous_passage_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_based_on_the_previous_passage_score_eval/test-*"}]}, {"config_name": "super_glue_rte_can_we_infer", "data_files": [{"split": "train", "path": "super_glue_rte_can_we_infer/train-*"}, {"split": "validation", "path": "super_glue_rte_can_we_infer/validation-*"}, {"split": "test", "path": "super_glue_rte_can_we_infer/test-*"}]}, {"config_name": "super_glue_rte_can_we_infer_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_can_we_infer_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_can_we_infer_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_can_we_infer_score_eval/test-*"}]}, {"config_name": "super_glue_rte_does_it_follow_that", "data_files": [{"split": "train", "path": "super_glue_rte_does_it_follow_that/train-*"}, {"split": "validation", "path": "super_glue_rte_does_it_follow_that/validation-*"}, {"split": "test", "path": "super_glue_rte_does_it_follow_that/test-*"}]}, {"config_name": "super_glue_rte_does_it_follow_that_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_does_it_follow_that_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_does_it_follow_that_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_does_it_follow_that_score_eval/test-*"}]}, {"config_name": "super_glue_rte_does_this_imply", "data_files": [{"split": "train", "path": "super_glue_rte_does_this_imply/train-*"}, {"split": "validation", "path": "super_glue_rte_does_this_imply/validation-*"}, {"split": "test", "path": "super_glue_rte_does_this_imply/test-*"}]}, {"config_name": "super_glue_rte_does_this_imply_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_does_this_imply_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_does_this_imply_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_does_this_imply_score_eval/test-*"}]}, {"config_name": "super_glue_rte_guaranteed_true", "data_files": [{"split": "train", "path": "super_glue_rte_guaranteed_true/train-*"}, {"split": "validation", "path": "super_glue_rte_guaranteed_true/validation-*"}, {"split": "test", "path": "super_glue_rte_guaranteed_true/test-*"}]}, {"config_name": "super_glue_rte_guaranteed_true_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_guaranteed_true_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_guaranteed_true_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_guaranteed_true_score_eval/test-*"}]}, {"config_name": "super_glue_rte_justified_in_saying", "data_files": [{"split": "train", "path": "super_glue_rte_justified_in_saying/train-*"}, {"split": "validation", "path": "super_glue_rte_justified_in_saying/validation-*"}, {"split": "test", "path": "super_glue_rte_justified_in_saying/test-*"}]}, {"config_name": "super_glue_rte_justified_in_saying_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_justified_in_saying_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_justified_in_saying_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_justified_in_saying_score_eval/test-*"}]}, {"config_name": "super_glue_rte_must_be_true", "data_files": [{"split": "train", "path": "super_glue_rte_must_be_true/train-*"}, {"split": "validation", "path": "super_glue_rte_must_be_true/validation-*"}, {"split": "test", "path": "super_glue_rte_must_be_true/test-*"}]}, {"config_name": "super_glue_rte_must_be_true_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_must_be_true_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_must_be_true_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_must_be_true_score_eval/test-*"}]}, {"config_name": "super_glue_rte_should_assume", "data_files": [{"split": "train", "path": "super_glue_rte_should_assume/train-*"}, {"split": "validation", "path": "super_glue_rte_should_assume/validation-*"}, {"split": "test", "path": "super_glue_rte_should_assume/test-*"}]}, {"config_name": "super_glue_rte_should_assume_score_eval", "data_files": [{"split": "train", "path": "super_glue_rte_should_assume_score_eval/train-*"}, {"split": "validation", "path": "super_glue_rte_should_assume_score_eval/validation-*"}, {"split": "test", "path": "super_glue_rte_should_assume_score_eval/test-*"}]}, {"config_name": "super_glue_wic_GPT_3_prompt", "data_files": [{"split": "train", "path": "super_glue_wic_GPT_3_prompt/train-*"}, {"split": "validation", "path": "super_glue_wic_GPT_3_prompt/validation-*"}, {"split": "test", "path": "super_glue_wic_GPT_3_prompt/test-*"}]}, {"config_name": "super_glue_wic_GPT_3_prompt_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_GPT_3_prompt_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_GPT_3_prompt_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_GPT_3_prompt_score_eval/test-*"}]}, {"config_name": "super_glue_wic_GPT_3_prompt_with_label", "data_files": [{"split": "train", "path": "super_glue_wic_GPT_3_prompt_with_label/train-*"}, {"split": "validation", "path": "super_glue_wic_GPT_3_prompt_with_label/validation-*"}, {"split": "test", "path": "super_glue_wic_GPT_3_prompt_with_label/test-*"}]}, {"config_name": "super_glue_wic_GPT_3_prompt_with_label_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_GPT_3_prompt_with_label_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_GPT_3_prompt_with_label_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_GPT_3_prompt_with_label_score_eval/test-*"}]}, {"config_name": "super_glue_wic_affirmation_true_or_false", "data_files": [{"split": "train", "path": "super_glue_wic_affirmation_true_or_false/train-*"}, {"split": "validation", "path": "super_glue_wic_affirmation_true_or_false/validation-*"}, {"split": "test", "path": "super_glue_wic_affirmation_true_or_false/test-*"}]}, {"config_name": "super_glue_wic_affirmation_true_or_false_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_affirmation_true_or_false_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_affirmation_true_or_false_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_affirmation_true_or_false_score_eval/test-*"}]}, {"config_name": "super_glue_wic_grammar_homework", "data_files": [{"split": "train", "path": "super_glue_wic_grammar_homework/train-*"}, {"split": "validation", "path": "super_glue_wic_grammar_homework/validation-*"}, {"split": "test", "path": "super_glue_wic_grammar_homework/test-*"}]}, {"config_name": "super_glue_wic_grammar_homework_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_grammar_homework_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_grammar_homework_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_grammar_homework_score_eval/test-*"}]}, {"config_name": "super_glue_wic_polysemous", "data_files": [{"split": "train", "path": "super_glue_wic_polysemous/train-*"}, {"split": "validation", "path": "super_glue_wic_polysemous/validation-*"}, {"split": "test", "path": "super_glue_wic_polysemous/test-*"}]}, {"config_name": "super_glue_wic_polysemous_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_polysemous_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_polysemous_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_polysemous_score_eval/test-*"}]}, {"config_name": "super_glue_wic_question_context", "data_files": [{"split": "train", "path": "super_glue_wic_question_context/train-*"}, {"split": "validation", "path": "super_glue_wic_question_context/validation-*"}, {"split": "test", "path": "super_glue_wic_question_context/test-*"}]}, {"config_name": "super_glue_wic_question_context_meaning", "data_files": [{"split": "train", "path": "super_glue_wic_question_context_meaning/train-*"}, {"split": "validation", "path": "super_glue_wic_question_context_meaning/validation-*"}, {"split": "test", "path": "super_glue_wic_question_context_meaning/test-*"}]}, {"config_name": "super_glue_wic_question_context_meaning_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_question_context_meaning_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_question_context_meaning_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_question_context_meaning_score_eval/test-*"}]}, {"config_name": "super_glue_wic_question_context_meaning_with_label", "data_files": [{"split": "train", "path": "super_glue_wic_question_context_meaning_with_label/train-*"}, {"split": "validation", "path": "super_glue_wic_question_context_meaning_with_label/validation-*"}, {"split": "test", "path": "super_glue_wic_question_context_meaning_with_label/test-*"}]}, {"config_name": "super_glue_wic_question_context_meaning_with_label_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_question_context_meaning_with_label_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_question_context_meaning_with_label_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_question_context_meaning_with_label_score_eval/test-*"}]}, {"config_name": "super_glue_wic_question_context_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_question_context_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_question_context_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_question_context_score_eval/test-*"}]}, {"config_name": "super_glue_wic_same_sense", "data_files": [{"split": "train", "path": "super_glue_wic_same_sense/train-*"}, {"split": "validation", "path": "super_glue_wic_same_sense/validation-*"}, {"split": "test", "path": "super_glue_wic_same_sense/test-*"}]}, {"config_name": "super_glue_wic_same_sense_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_same_sense_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_same_sense_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_same_sense_score_eval/test-*"}]}, {"config_name": "super_glue_wic_similar_sense", "data_files": [{"split": "train", "path": "super_glue_wic_similar_sense/train-*"}, {"split": "validation", "path": "super_glue_wic_similar_sense/validation-*"}, {"split": "test", "path": "super_glue_wic_similar_sense/test-*"}]}, {"config_name": "super_glue_wic_similar_sense_score_eval", "data_files": [{"split": "train", "path": "super_glue_wic_similar_sense_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wic_similar_sense_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wic_similar_sense_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_GPT_3_Style", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_GPT_3_Style/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_GPT_3_Style/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_GPT_3_Style/test-*"}]}, {"config_name": "super_glue_wsc.fixed_GPT_3_Style_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_GPT_3_Style_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_GPT_3_Style_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_GPT_3_Style_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_I_think_they_mean", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_I_think_they_mean/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_I_think_they_mean/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_I_think_they_mean/test-*"}]}, {"config_name": "super_glue_wsc.fixed_I_think_they_mean_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_I_think_they_mean_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_I_think_they_mean_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_I_think_they_mean_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_Who_or_what_is_are", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_Who_or_what_is_are/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_Who_or_what_is_are/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_Who_or_what_is_are/test-*"}]}, {"config_name": "super_glue_wsc.fixed_Who_or_what_is_are_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_Who_or_what_is_are_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_Who_or_what_is_are_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_Who_or_what_is_are_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_by_p_they_mean", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_by_p_they_mean/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_by_p_they_mean/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_by_p_they_mean/test-*"}]}, {"config_name": "super_glue_wsc.fixed_by_p_they_mean_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_by_p_they_mean_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_by_p_they_mean_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_by_p_they_mean_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_does_p_stand_for", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_does_p_stand_for/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_does_p_stand_for/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_does_p_stand_for/test-*"}]}, {"config_name": "super_glue_wsc.fixed_does_p_stand_for_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_does_p_stand_for_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_does_p_stand_for_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_does_p_stand_for_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_does_the_pronoun_refer_to", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_does_the_pronoun_refer_to/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_does_the_pronoun_refer_to/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_does_the_pronoun_refer_to/test-*"}]}, {"config_name": "super_glue_wsc.fixed_does_the_pronoun_refer_to_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_does_the_pronoun_refer_to_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_does_the_pronoun_refer_to_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_does_the_pronoun_refer_to_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_in_other_words", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_in_other_words/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_in_other_words/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_in_other_words/test-*"}]}, {"config_name": "super_glue_wsc.fixed_in_other_words_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_in_other_words_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_in_other_words_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_in_other_words_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_p_is_are_r", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_p_is_are_r/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_p_is_are_r/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_p_is_are_r/test-*"}]}, {"config_name": "super_glue_wsc.fixed_p_is_are_r_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_p_is_are_r_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_p_is_are_r_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_p_is_are_r_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_replaced_with", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_replaced_with/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_replaced_with/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_replaced_with/test-*"}]}, {"config_name": "super_glue_wsc.fixed_replaced_with_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_replaced_with_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_replaced_with_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_replaced_with_score_eval/test-*"}]}, {"config_name": "super_glue_wsc.fixed_the_pronoun_refers_to", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_the_pronoun_refers_to/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_the_pronoun_refers_to/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_the_pronoun_refers_to/test-*"}]}, {"config_name": "super_glue_wsc.fixed_the_pronoun_refers_to_score_eval", "data_files": [{"split": "train", "path": "super_glue_wsc.fixed_the_pronoun_refers_to_score_eval/train-*"}, {"split": "validation", "path": "super_glue_wsc.fixed_the_pronoun_refers_to_score_eval/validation-*"}, {"split": "test", "path": "super_glue_wsc.fixed_the_pronoun_refers_to_score_eval/test-*"}]}, {"config_name": "trec_fine_grained_ABBR", "data_files": [{"split": "train", "path": "trec_fine_grained_ABBR/train-*"}, {"split": "test", "path": "trec_fine_grained_ABBR/test-*"}]}, {"config_name": "trec_fine_grained_ABBR_context_first", "data_files": [{"split": "train", "path": "trec_fine_grained_ABBR_context_first/train-*"}, {"split": "test", "path": "trec_fine_grained_ABBR_context_first/test-*"}]}, {"config_name": "trec_fine_grained_DESC", "data_files": [{"split": "train", "path": "trec_fine_grained_DESC/train-*"}, {"split": "test", "path": "trec_fine_grained_DESC/test-*"}]}, {"config_name": "trec_fine_grained_DESC_context_first", "data_files": [{"split": "train", "path": "trec_fine_grained_DESC_context_first/train-*"}, {"split": "test", "path": "trec_fine_grained_DESC_context_first/test-*"}]}, {"config_name": "trec_fine_grained_ENTY", "data_files": [{"split": "train", "path": "trec_fine_grained_ENTY/train-*"}, {"split": "test", "path": "trec_fine_grained_ENTY/test-*"}]}, {"config_name": "trec_fine_grained_HUM", "data_files": [{"split": "train", "path": "trec_fine_grained_HUM/train-*"}, {"split": "test", "path": "trec_fine_grained_HUM/test-*"}]}, {"config_name": "trec_fine_grained_HUM_context_first", "data_files": [{"split": "train", "path": "trec_fine_grained_HUM_context_first/train-*"}, {"split": "test", "path": "trec_fine_grained_HUM_context_first/test-*"}]}, {"config_name": "trec_fine_grained_LOC", "data_files": [{"split": "train", "path": "trec_fine_grained_LOC/train-*"}, {"split": "test", "path": "trec_fine_grained_LOC/test-*"}]}, {"config_name": "trec_fine_grained_LOC_context_first", "data_files": [{"split": "train", "path": "trec_fine_grained_LOC_context_first/train-*"}, {"split": "test", "path": "trec_fine_grained_LOC_context_first/test-*"}]}, {"config_name": "trec_fine_grained_NUM", "data_files": [{"split": "train", "path": "trec_fine_grained_NUM/train-*"}, {"split": "test", "path": "trec_fine_grained_NUM/test-*"}]}, {"config_name": "trec_fine_grained_NUM_context_first", "data_files": [{"split": "train", "path": "trec_fine_grained_NUM_context_first/train-*"}, {"split": "test", "path": "trec_fine_grained_NUM_context_first/test-*"}]}, {"config_name": "trec_fine_grained_open", "data_files": [{"split": "train", "path": "trec_fine_grained_open/train-*"}, {"split": "test", "path": "trec_fine_grained_open/test-*"}]}, {"config_name": "trec_fine_grained_open_context_first", "data_files": [{"split": "train", "path": "trec_fine_grained_open_context_first/train-*"}, {"split": "test", "path": "trec_fine_grained_open_context_first/test-*"}]}, {"config_name": "trec_pick_the_best_descriptor", "data_files": [{"split": "train", "path": "trec_pick_the_best_descriptor/train-*"}, {"split": "test", "path": "trec_pick_the_best_descriptor/test-*"}]}, {"config_name": "trec_trec1", "data_files": [{"split": "train", "path": "trec_trec1/train-*"}, {"split": "test", "path": "trec_trec1/test-*"}]}, {"config_name": "trec_trec2", "data_files": [{"split": "train", "path": "trec_trec2/train-*"}, {"split": "test", "path": "trec_trec2/test-*"}]}, {"config_name": "trec_what_category_best_describe", "data_files": [{"split": "train", "path": "trec_what_category_best_describe/train-*"}, {"split": "test", "path": "trec_what_category_best_describe/test-*"}]}, {"config_name": "trec_which_category_best_describes", "data_files": [{"split": "train", "path": "trec_which_category_best_describes/train-*"}, {"split": "test", "path": "trec_which_category_best_describes/test-*"}]}, {"config_name": "trivia_qa_unfiltered_first_person_context", "data_files": [{"split": "train", "path": "trivia_qa_unfiltered_first_person_context/train-*"}, {"split": "validation", "path": "trivia_qa_unfiltered_first_person_context/validation-*"}, {"split": "test", "path": "trivia_qa_unfiltered_first_person_context/test-*"}]}, {"config_name": "trivia_qa_unfiltered_formal_description", "data_files": [{"split": "train", "path": "trivia_qa_unfiltered_formal_description/train-*"}, {"split": "validation", "path": "trivia_qa_unfiltered_formal_description/validation-*"}, {"split": "test", "path": "trivia_qa_unfiltered_formal_description/test-*"}]}, {"config_name": "trivia_qa_unfiltered_guess_question", "data_files": [{"split": "train", "path": "trivia_qa_unfiltered_guess_question/train-*"}, {"split": "validation", "path": "trivia_qa_unfiltered_guess_question/validation-*"}]}, {"config_name": "trivia_qa_unfiltered_question_answer", "data_files": [{"split": "train", "path": "trivia_qa_unfiltered_question_answer/train-*"}, {"split": "validation", "path": "trivia_qa_unfiltered_question_answer/validation-*"}, {"split": "test", "path": "trivia_qa_unfiltered_question_answer/test-*"}]}, {"config_name": "trivia_qa_unfiltered_question_with_instruction", "data_files": [{"split": "train", "path": "trivia_qa_unfiltered_question_with_instruction/train-*"}, {"split": "validation", "path": "trivia_qa_unfiltered_question_with_instruction/validation-*"}, {"split": "test", "path": "trivia_qa_unfiltered_question_with_instruction/test-*"}]}, {"config_name": "web_questions_get_the_answer", "data_files": [{"split": "train", "path": "web_questions_get_the_answer/train-*"}, {"split": "test", "path": "web_questions_get_the_answer/test-*"}]}, {"config_name": "web_questions_potential_correct_answer", "data_files": [{"split": "train", "path": "web_questions_potential_correct_answer/train-*"}, {"split": "test", "path": "web_questions_potential_correct_answer/test-*"}]}, {"config_name": "web_questions_question_answer", "data_files": [{"split": "train", "path": "web_questions_question_answer/train-*"}, {"split": "test", "path": "web_questions_question_answer/test-*"}]}, {"config_name": "web_questions_short_general_knowledge_q", "data_files": [{"split": "train", "path": "web_questions_short_general_knowledge_q/train-*"}, {"split": "test", "path": "web_questions_short_general_knowledge_q/test-*"}]}, {"config_name": "web_questions_whats_the_answer", "data_files": [{"split": "train", "path": "web_questions_whats_the_answer/train-*"}, {"split": "test", "path": "web_questions_whats_the_answer/test-*"}]}, {"config_name": "wiki_bio_comprehension", "data_files": [{"split": "train", "path": "wiki_bio_comprehension/train-*"}, {"split": "test", "path": "wiki_bio_comprehension/test-*"}, {"split": "val", "path": "wiki_bio_comprehension/val-*"}]}, {"config_name": "wiki_bio_guess_person", "data_files": [{"split": "train", "path": "wiki_bio_guess_person/train-*"}, {"split": "test", "path": "wiki_bio_guess_person/test-*"}, {"split": "val", "path": "wiki_bio_guess_person/val-*"}]}, {"config_name": "wiki_bio_key_content", "data_files": [{"split": "train", "path": "wiki_bio_key_content/train-*"}, {"split": "test", "path": "wiki_bio_key_content/test-*"}, {"split": "val", "path": "wiki_bio_key_content/val-*"}]}, {"config_name": "wiki_bio_what_content", "data_files": [{"split": "train", "path": "wiki_bio_what_content/train-*"}, {"split": "test", "path": "wiki_bio_what_content/test-*"}, {"split": "val", "path": "wiki_bio_what_content/val-*"}]}, {"config_name": "wiki_bio_who", "data_files": [{"split": "train", "path": "wiki_bio_who/train-*"}, {"split": "test", "path": "wiki_bio_who/test-*"}, {"split": "val", "path": "wiki_bio_who/val-*"}]}, {"config_name": "wiki_hop_original_choose_best_object_affirmative_1", "data_files": [{"split": "train", "path": "wiki_hop_original_choose_best_object_affirmative_1/train-*"}, {"split": "validation", "path": "wiki_hop_original_choose_best_object_affirmative_1/validation-*"}]}, {"config_name": "wiki_hop_original_choose_best_object_affirmative_2", "data_files": [{"split": "train", "path": "wiki_hop_original_choose_best_object_affirmative_2/train-*"}, {"split": "validation", "path": "wiki_hop_original_choose_best_object_affirmative_2/validation-*"}]}, {"config_name": "wiki_hop_original_choose_best_object_affirmative_3", "data_files": [{"split": "train", "path": "wiki_hop_original_choose_best_object_affirmative_3/train-*"}, {"split": "validation", "path": "wiki_hop_original_choose_best_object_affirmative_3/validation-*"}]}, {"config_name": "wiki_hop_original_choose_best_object_interrogative_1", "data_files": [{"split": "train", "path": "wiki_hop_original_choose_best_object_interrogative_1/train-*"}, {"split": "validation", "path": "wiki_hop_original_choose_best_object_interrogative_1/validation-*"}]}, {"config_name": "wiki_hop_original_choose_best_object_interrogative_2", "data_files": [{"split": "train", "path": "wiki_hop_original_choose_best_object_interrogative_2/train-*"}, {"split": "validation", "path": "wiki_hop_original_choose_best_object_interrogative_2/validation-*"}]}, {"config_name": "wiki_hop_original_explain_relation", "data_files": [{"split": "train", "path": "wiki_hop_original_explain_relation/train-*"}, {"split": "validation", "path": "wiki_hop_original_explain_relation/validation-*"}]}, {"config_name": "wiki_hop_original_generate_object", "data_files": [{"split": "train", "path": "wiki_hop_original_generate_object/train-*"}, {"split": "validation", "path": "wiki_hop_original_generate_object/validation-*"}]}, {"config_name": "wiki_hop_original_generate_subject", "data_files": [{"split": "train", "path": "wiki_hop_original_generate_subject/train-*"}, {"split": "validation", "path": "wiki_hop_original_generate_subject/validation-*"}]}, {"config_name": "wiki_hop_original_generate_subject_and_object", "data_files": [{"split": "train", "path": "wiki_hop_original_generate_subject_and_object/train-*"}, {"split": "validation", "path": "wiki_hop_original_generate_subject_and_object/validation-*"}]}, {"config_name": "wiki_qa_Decide_good_answer", "data_files": [{"split": "train", "path": "wiki_qa_Decide_good_answer/train-*"}, {"split": "validation", "path": "wiki_qa_Decide_good_answer/validation-*"}, {"split": "test", "path": "wiki_qa_Decide_good_answer/test-*"}]}, {"config_name": "wiki_qa_Direct_Answer_to_Question", "data_files": [{"split": "train", "path": "wiki_qa_Direct_Answer_to_Question/train-*"}, {"split": "validation", "path": "wiki_qa_Direct_Answer_to_Question/validation-*"}, {"split": "test", "path": "wiki_qa_Direct_Answer_to_Question/test-*"}]}, {"config_name": "wiki_qa_Generate_Question_from_Topic", "data_files": [{"split": "train", "path": "wiki_qa_Generate_Question_from_Topic/train-*"}, {"split": "validation", "path": "wiki_qa_Generate_Question_from_Topic/validation-*"}, {"split": "test", "path": "wiki_qa_Generate_Question_from_Topic/test-*"}]}, {"config_name": "wiki_qa_Is_This_True_", "data_files": [{"split": "train", "path": "wiki_qa_Is_This_True_/train-*"}, {"split": "validation", "path": "wiki_qa_Is_This_True_/validation-*"}, {"split": "test", "path": "wiki_qa_Is_This_True_/test-*"}]}, {"config_name": "wiki_qa_Jeopardy_style", "data_files": [{"split": "train", "path": "wiki_qa_Jeopardy_style/train-*"}, {"split": "validation", "path": "wiki_qa_Jeopardy_style/validation-*"}, {"split": "test", "path": "wiki_qa_Jeopardy_style/test-*"}]}, {"config_name": "wiki_qa_Topic_Prediction_Answer_Only", "data_files": [{"split": "train", "path": "wiki_qa_Topic_Prediction_Answer_Only/train-*"}, {"split": "validation", "path": "wiki_qa_Topic_Prediction_Answer_Only/validation-*"}, {"split": "test", "path": "wiki_qa_Topic_Prediction_Answer_Only/test-*"}]}, {"config_name": "wiki_qa_Topic_Prediction_Question_Only", "data_files": [{"split": "train", "path": "wiki_qa_Topic_Prediction_Question_Only/train-*"}, {"split": "validation", "path": "wiki_qa_Topic_Prediction_Question_Only/validation-*"}, {"split": "test", "path": "wiki_qa_Topic_Prediction_Question_Only/test-*"}]}, {"config_name": "wiki_qa_Topic_Prediction_Question_and_Answer_Pair", "data_files": [{"split": "train", "path": "wiki_qa_Topic_Prediction_Question_and_Answer_Pair/train-*"}, {"split": "validation", "path": "wiki_qa_Topic_Prediction_Question_and_Answer_Pair/validation-*"}, {"split": "test", "path": "wiki_qa_Topic_Prediction_Question_and_Answer_Pair/test-*"}]}, {"config_name": "wiki_qa_automatic_system", "data_files": [{"split": "train", "path": "wiki_qa_automatic_system/train-*"}, {"split": "validation", "path": "wiki_qa_automatic_system/validation-*"}, {"split": "test", "path": "wiki_qa_automatic_system/test-*"}]}, {"config_name": "wiki_qa_exercise", "data_files": [{"split": "train", "path": "wiki_qa_exercise/train-*"}, {"split": "validation", "path": "wiki_qa_exercise/validation-*"}, {"split": "test", "path": "wiki_qa_exercise/test-*"}]}, {"config_name": "wiki_qa_found_on_google", "data_files": [{"split": "train", "path": "wiki_qa_found_on_google/train-*"}, {"split": "validation", "path": "wiki_qa_found_on_google/validation-*"}, {"split": "test", "path": "wiki_qa_found_on_google/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_Replace", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_Replace/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_Replace/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_Replace/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_Replace_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_Replace_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_Replace_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_Replace_score_eval/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_does_underscore_refer_to", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_does_underscore_refer_to/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_does_underscore_refer_to/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_does_underscore_refer_to/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_does_underscore_refer_to_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_does_underscore_refer_to_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_does_underscore_refer_to_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_does_underscore_refer_to_score_eval/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_fill_in_the_blank", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_fill_in_the_blank/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_fill_in_the_blank/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_fill_in_the_blank/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_fill_in_the_blank_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_fill_in_the_blank_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_fill_in_the_blank_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_fill_in_the_blank_score_eval/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_stand_for", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_stand_for/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_stand_for/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_stand_for/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_stand_for_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_stand_for_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_stand_for_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_stand_for_score_eval/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_underscore_refer_to", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_underscore_refer_to/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_underscore_refer_to/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_underscore_refer_to/test-*"}]}, {"config_name": "winogrande_winogrande_debiased_underscore_refer_to_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_debiased_underscore_refer_to_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_debiased_underscore_refer_to_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_debiased_underscore_refer_to_score_eval/test-*"}]}, {"config_name": "winogrande_winogrande_xl_Replace", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_Replace/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_Replace/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_Replace/test-*"}]}, {"config_name": "winogrande_winogrande_xl_Replace_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_Replace_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_Replace_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_Replace_score_eval/test-*"}]}, {"config_name": "winogrande_winogrande_xl_does_underscore_refer_to", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_does_underscore_refer_to/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_does_underscore_refer_to/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_does_underscore_refer_to/test-*"}]}, {"config_name": "winogrande_winogrande_xl_does_underscore_refer_to_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_does_underscore_refer_to_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_does_underscore_refer_to_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_does_underscore_refer_to_score_eval/test-*"}]}, {"config_name": "winogrande_winogrande_xl_fill_in_the_blank", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_fill_in_the_blank/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_fill_in_the_blank/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_fill_in_the_blank/test-*"}]}, {"config_name": "winogrande_winogrande_xl_fill_in_the_blank_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_fill_in_the_blank_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_fill_in_the_blank_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_fill_in_the_blank_score_eval/test-*"}]}, {"config_name": "winogrande_winogrande_xl_stand_for", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_stand_for/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_stand_for/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_stand_for/test-*"}]}, {"config_name": "winogrande_winogrande_xl_stand_for_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_stand_for_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_stand_for_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_stand_for_score_eval/test-*"}]}, {"config_name": "winogrande_winogrande_xl_underscore_refer_to", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_underscore_refer_to/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_underscore_refer_to/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_underscore_refer_to/test-*"}]}, {"config_name": "winogrande_winogrande_xl_underscore_refer_to_score_eval", "data_files": [{"split": "train", "path": "winogrande_winogrande_xl_underscore_refer_to_score_eval/train-*"}, {"split": "validation", "path": "winogrande_winogrande_xl_underscore_refer_to_score_eval/validation-*"}, {"split": "test", "path": "winogrande_winogrande_xl_underscore_refer_to_score_eval/test-*"}]}, {"config_name": "wiqa_does_the_supposed_perturbation_have_an_effect", "data_files": [{"split": "train", "path": "wiqa_does_the_supposed_perturbation_have_an_effect/train-*"}, {"split": "validation", "path": "wiqa_does_the_supposed_perturbation_have_an_effect/validation-*"}, {"split": "test", "path": "wiqa_does_the_supposed_perturbation_have_an_effect/test-*"}]}, {"config_name": "wiqa_effect_with_label_answer", "data_files": [{"split": "train", "path": "wiqa_effect_with_label_answer/train-*"}, {"split": "validation", "path": "wiqa_effect_with_label_answer/validation-*"}, {"split": "test", "path": "wiqa_effect_with_label_answer/test-*"}]}, {"config_name": "wiqa_effect_with_string_answer", "data_files": [{"split": "train", "path": "wiqa_effect_with_string_answer/train-*"}, {"split": "validation", "path": "wiqa_effect_with_string_answer/validation-*"}, {"split": "test", "path": "wiqa_effect_with_string_answer/test-*"}]}, {"config_name": "wiqa_what_is_the_final_step_of_the_following_process", "data_files": [{"split": "train", "path": "wiqa_what_is_the_final_step_of_the_following_process/train-*"}, {"split": "validation", "path": "wiqa_what_is_the_final_step_of_the_following_process/validation-*"}, {"split": "test", "path": "wiqa_what_is_the_final_step_of_the_following_process/test-*"}]}, {"config_name": "wiqa_what_is_the_missing_first_step", "data_files": [{"split": "train", "path": "wiqa_what_is_the_missing_first_step/train-*"}, {"split": "validation", "path": "wiqa_what_is_the_missing_first_step/validation-*"}, {"split": "test", "path": "wiqa_what_is_the_missing_first_step/test-*"}]}, {"config_name": "wiqa_what_might_be_the_first_step_of_the_process", "data_files": [{"split": "train", "path": "wiqa_what_might_be_the_first_step_of_the_process/train-*"}, {"split": "validation", "path": "wiqa_what_might_be_the_first_step_of_the_process/validation-*"}, {"split": "test", "path": "wiqa_what_might_be_the_first_step_of_the_process/test-*"}]}, {"config_name": "wiqa_what_might_be_the_last_step_of_the_process", "data_files": [{"split": "train", "path": "wiqa_what_might_be_the_last_step_of_the_process/train-*"}, {"split": "validation", "path": "wiqa_what_might_be_the_last_step_of_the_process/validation-*"}, {"split": "test", "path": "wiqa_what_might_be_the_last_step_of_the_process/test-*"}]}, {"config_name": "wiqa_which_of_the_following_is_the_supposed_perturbation", "data_files": [{"split": "train", "path": "wiqa_which_of_the_following_is_the_supposed_perturbation/train-*"}, {"split": "validation", "path": "wiqa_which_of_the_following_is_the_supposed_perturbation/validation-*"}, {"split": "test", "path": "wiqa_which_of_the_following_is_the_supposed_perturbation/test-*"}]}, {"config_name": "xsum_DOC_boils_down_to_simple_idea_that", "data_files": [{"split": "train", "path": "xsum_DOC_boils_down_to_simple_idea_that/train-*"}, {"split": "validation", "path": "xsum_DOC_boils_down_to_simple_idea_that/validation-*"}, {"split": "test", "path": "xsum_DOC_boils_down_to_simple_idea_that/test-*"}]}, {"config_name": "xsum_DOC_given_above_write_one_sentence", "data_files": [{"split": "train", "path": "xsum_DOC_given_above_write_one_sentence/train-*"}, {"split": "validation", "path": "xsum_DOC_given_above_write_one_sentence/validation-*"}, {"split": "test", "path": "xsum_DOC_given_above_write_one_sentence/test-*"}]}, {"config_name": "xsum_DOC_how_would_you_rephrase_few_words", "data_files": [{"split": "train", "path": "xsum_DOC_how_would_you_rephrase_few_words/train-*"}, {"split": "validation", "path": "xsum_DOC_how_would_you_rephrase_few_words/validation-*"}, {"split": "test", "path": "xsum_DOC_how_would_you_rephrase_few_words/test-*"}]}, {"config_name": "xsum_DOC_tldr", "data_files": [{"split": "train", "path": "xsum_DOC_tldr/train-*"}, {"split": "validation", "path": "xsum_DOC_tldr/validation-*"}, {"split": "test", "path": "xsum_DOC_tldr/test-*"}]}, {"config_name": "xsum_DOC_write_summary_of_above", "data_files": [{"split": "train", "path": "xsum_DOC_write_summary_of_above/train-*"}, {"split": "validation", "path": "xsum_DOC_write_summary_of_above/validation-*"}, {"split": "test", "path": "xsum_DOC_write_summary_of_above/test-*"}]}, {"config_name": "xsum_article_DOC_summary", "data_files": [{"split": "train", "path": "xsum_article_DOC_summary/train-*"}, {"split": "validation", "path": "xsum_article_DOC_summary/validation-*"}, {"split": "test", "path": "xsum_article_DOC_summary/test-*"}]}, {"config_name": "xsum_college_roommate_asked_DOC_so_I_recap", "data_files": [{"split": "train", "path": "xsum_college_roommate_asked_DOC_so_I_recap/train-*"}, {"split": "validation", "path": "xsum_college_roommate_asked_DOC_so_I_recap/validation-*"}, {"split": "test", "path": "xsum_college_roommate_asked_DOC_so_I_recap/test-*"}]}, {"config_name": "xsum_read_below_DOC_write_abstract", "data_files": [{"split": "train", "path": "xsum_read_below_DOC_write_abstract/train-*"}, {"split": "validation", "path": "xsum_read_below_DOC_write_abstract/validation-*"}, {"split": "test", "path": "xsum_read_below_DOC_write_abstract/test-*"}]}, {"config_name": "xsum_summarize_DOC", "data_files": [{"split": "train", "path": "xsum_summarize_DOC/train-*"}, {"split": "validation", "path": "xsum_summarize_DOC/validation-*"}, {"split": "test", "path": "xsum_summarize_DOC/test-*"}]}, {"config_name": "xsum_summarize_this_DOC_summary", "data_files": [{"split": "train", "path": "xsum_summarize_this_DOC_summary/train-*"}, {"split": "validation", "path": "xsum_summarize_this_DOC_summary/validation-*"}, {"split": "test", "path": "xsum_summarize_this_DOC_summary/test-*"}]}, {"config_name": "yelp_review_full_based_on_that", "data_files": [{"split": "train", "path": "yelp_review_full_based_on_that/train-*"}, {"split": "test", "path": "yelp_review_full_based_on_that/test-*"}]}, {"config_name": "yelp_review_full_format_rating", "data_files": [{"split": "train", "path": "yelp_review_full_format_rating/train-*"}, {"split": "test", "path": "yelp_review_full_format_rating/test-*"}]}, {"config_name": "yelp_review_full_format_score", "data_files": [{"split": "train", "path": "yelp_review_full_format_score/train-*"}, {"split": "test", "path": "yelp_review_full_format_score/test-*"}]}, {"config_name": "yelp_review_full_format_star", "data_files": [{"split": "train", "path": "yelp_review_full_format_star/train-*"}, {"split": "test", "path": "yelp_review_full_format_star/test-*"}]}, {"config_name": "yelp_review_full_on_a_scale", "data_files": [{"split": "train", "path": "yelp_review_full_on_a_scale/train-*"}, {"split": "test", "path": "yelp_review_full_on_a_scale/test-*"}]}, {"config_name": "yelp_review_full_so_i_would", "data_files": [{"split": "train", "path": "yelp_review_full_so_i_would/train-*"}, {"split": "test", "path": "yelp_review_full_so_i_would/test-*"}]}, {"config_name": "yelp_review_full_this_place", "data_files": [{"split": "train", "path": "yelp_review_full_this_place/train-*"}, {"split": "test", "path": "yelp_review_full_this_place/test-*"}]}]}

db485208b9f41d46c1d0975202328d08f8199046

Dataset Card for P3 Dataset Summary P3 (Public Pool of Prompts) is a collection of prompted English datasets covering a diverse set of NLP tasks. A prompt is the combination of an input template and a target template. The templates are functions mapping a data example into natural language for the input and target sequences. For example, in the case of an NLI dataset, the data example would include fields for Premise, Hypothesis, Label. An input template would be… See the full description on the dataset page: https://huggingface.co./datasets/bigscience/P3.

62a9dc9a471f7e0783124b0d

codeparrot/apps

codeparrot

{"annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": ["mit"], "multilinguality": ["monolingual"], "pretty_name": "APPS", "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": ["language-modeling"]}

21e74ddf8de1a21436da12e3e653065c5213e9d1

APPS is a benchmark for Python code generation, it includes 10,000 problems, which range from having simple oneline solutions to being substantial algorithmic challenges, for more details please refer to this paper: https://arxiv.org/pdf/2105.09938.pdf.

@article{hendrycksapps2021, title={Measuring Coding Challenge Competence With APPS}, author={Dan Hendrycks and Steven Basart and Saurav Kadavath and Mantas Mazeika and Akul Arora and Ethan Guo and Collin Burns and Samir Puranik and Horace He and Dawn Song and Jacob Steinhardt}, journal={NeurIPS}, year={2021} }

62f8b759c4817cfc07534d17

Bingsu/zeroth-korean

Bingsu

{"language": ["ko"], "language_creators": ["crowdsourced"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "pretty_name": "zeroth-korean", "source_datasets": ["extended|kresnik/zeroth_korean"], "size_categories": ["10K<n<100K"], "task_categories": ["automatic-speech-recognition"]}

bd173fe2c8ed0dccd47acb4eda77542593651622

Zeroth-Korean Zeroth-Korean The data set contains transcriebed audio data for Korean. There are 51.6 hours transcribed Korean audio for training data (22,263 utterances, 105 people, 3000 sentences) and 1.2 hours transcribed Korean audio for testing data (457 utterances, 10 people). This corpus also contains pre-trained/designed language model, lexicon and morpheme-based segmenter(morfessor). Zeroth project introduces free Korean speech corpus and aims to make… See the full description on the dataset page: https://huggingface.co./datasets/Bingsu/zeroth-korean.

639244f571c51c43091df168

Anthropic/hh-rlhf

Anthropic

{"license": "mit", "tags": ["human-feedback"]}

09be8c5bbc57cb3887f3a9732ad6aa7ec602a1fa

Dataset Card for HH-RLHF Dataset Summary This repository provides access to two different kinds of data: Human preference data about helpfulness and harmlessness from Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback. These data are meant to train preference (or reward) models for subsequent RLHF training. These data are not meant for supervised training of dialogue agents. Training dialogue agents on these data is likely… See the full description on the dataset page: https://huggingface.co./datasets/Anthropic/hh-rlhf.

641debae1d05404efd046a4f

yahma/alpaca-cleaned

yahma

{"license": "cc-by-4.0", "language": ["en"], "tags": ["instruction-finetuning"], "pretty_name": "Alpaca-Cleaned", "task_categories": ["text-generation"]}

12567cabf869d7c92e573c7c783905fc160e9639

Dataset Card for Alpaca-Cleaned Repository: https://github.com/gururise/AlpacaDataCleaned Dataset Description This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset: Hallucinations: Many instructions in the original dataset had instructions referencing data on the internet, which just caused GPT3 to hallucinate an answer. "instruction":"Summarize… See the full description on the dataset page: https://huggingface.co./datasets/yahma/alpaca-cleaned.

6480bcc4bb25a636c9df2e67

PKU-Alignment/BeaverTails

PKU-Alignment

{"license": "cc-by-nc-4.0", "task_categories": ["text-classification"], "language": ["en"], "tags": ["safe", "safety", "ai-safety", "moderation", "rejection-sampling", "llm", "lm", "human-feedback"], "size_categories": ["100K<n<1M"], "configs": [{"config_name": "default", "data_files": [{"split": "330k_train", "path": "round0/330k/train.jsonl.xz"}, {"split": "330k_test", "path": "round0/330k/test.jsonl.xz"}, {"split": "30k_train", "path": "round0/30k/train.jsonl.gz"}, {"split": "30k_test", "path": "round0/30k/test.jsonl.gz"}]}]}

8401fe609d288129cc684a9b3be6a93e41cfe678

Dataset Card for BeaverTails BeaverTails is an AI safety-focused collection comprising a series of datasets. This repository includes human-labeled data consisting of question-answer (QA) pairs, each identified with their corresponding harm categories. It should be noted that a single QA pair can be associated with more than one category. The 14 harm categories are defined as follows: Animal Abuse: This involves any form of cruelty or harm inflicted on animals, including… See the full description on the dataset page: https://huggingface.co./datasets/PKU-Alignment/BeaverTails.

650df3ac8d01590937a726d0

mychen76/invoices-and-receipts_ocr_v1

mychen76

{"configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "test", "path": "data/test-*"}, {"split": "valid", "path": "data/valid-*"}]}], "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "id", "dtype": "string"}, {"name": "parsed_data", "dtype": "string"}, {"name": "raw_data", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 465061949.289, "num_examples": 2043}, {"name": "test", "num_bytes": 23808463, "num_examples": 125}, {"name": "valid", "num_bytes": 22325731, "num_examples": 70}], "download_size": 281665599, "dataset_size": 511196143.289}}

83835c87346de32ac9223bdce5264e69ef3366ad

Dataset Card for "invoices-and-receipts_ocr_v1" More Information needed

65377f5989dd48faca8f7cf1

HuggingFaceH4/ultrachat_200k

HuggingFaceH4

{"language": ["en"], "license": "mit", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "UltraChat 200k", "configs": [{"config_name": "default", "data_files": [{"split": "train_sft", "path": "data/train_sft-*"}, {"split": "test_sft", "path": "data/test_sft-*"}, {"split": "train_gen", "path": "data/train_gen-*"}, {"split": "test_gen", "path": "data/test_gen-*"}]}], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "prompt_id", "dtype": "string"}, {"name": "messages", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}], "splits": [{"name": "train_sft", "num_bytes": 1397058554, "num_examples": 207865}, {"name": "test_sft", "num_bytes": 154695659, "num_examples": 23110}, {"name": "train_gen", "num_bytes": 1347396812, "num_examples": 256032}, {"name": "test_gen", "num_bytes": 148276089, "num_examples": 28304}], "download_size": 1624049723, "dataset_size": 3047427114}}

8049631c405ae6576f93f445c6b8166f76f5505a

Dataset Card for UltraChat 200k Dataset Description This is a heavily filtered version of the UltraChat dataset and was used to train Zephyr-7B-β, a state of the art 7b chat model. The original datasets consists of 1.4M dialogues generated by ChatGPT and spanning a wide range of topics. To create UltraChat 200k, we applied the following logic: Selection of a subset of data for faster supervised fine tuning. Truecasing of the dataset, as we observed around 5% of… See the full description on the dataset page: https://huggingface.co./datasets/HuggingFaceH4/ultrachat_200k.

6582baf221aa786b76be285e

google/Synthetic-Persona-Chat

google

{"license": "cc-by-4.0", "task_categories": ["text2text-generation"], "language": ["en"], "size_categories": ["10K<n<100K"]}

a520ad7f999ca7e6dfdc25fed9f5070bf6f87b42

Dataset Card for SPC: Synthetic-Persona-Chat Dataset Abstract from the paper introducing this dataset: High-quality conversational datasets are essential for developing AI models that can communicate with users. One way to foster deeper interactions between a chatbot and its user is through personas, aspects of the user's character that provide insights into their personality, motivations, and behaviors. Training Natural Language Processing (NLP) models on a diverse and… See the full description on the dataset page: https://huggingface.co./datasets/google/Synthetic-Persona-Chat.

65d4e87efb0d0560cfd5c2b9

MedRAG/pubmed

MedRAG

{"task_categories": ["question-answering"], "language": ["en"], "tags": ["medical", "question answering", "large language model", "retrieval-augmented generation"], "size_categories": ["10M<n<100M"]}

33da3593d5756bc04c8909f170003c0b14197957

The PubMed Corpus in MedRAG This HF dataset contains the snippets from the PubMed corpus used in MedRAG. It can be used for medical Retrieval-Augmented Generation (RAG). News (02/26/2024) The "id" column has been reformatted. A new "PMID" column is added. Dataset Details Dataset Descriptions PubMed is the most widely used literature resource, containing over 36 million biomedical articles. For MedRAG, we use a PubMed subset of 23.9… See the full description on the dataset page: https://huggingface.co./datasets/MedRAG/pubmed.

65dc13085ca10be41fdd8b27

bigcode/the-stack-v2

bigcode

{"annotations_creators": [], "language_creators": ["crowdsourced", "expert-generated"], "language": ["code"], "license": ["other"], "multilinguality": ["multilingual"], "pretty_name": "The-Stack-v2", "size_categories": ["unknown"], "source_datasets": [], "task_categories": ["text-generation"], "task_ids": [], "extra_gated_prompt": "## Terms of Use for The Stack v2\n\nThe Stack v2 dataset is a collection of source code in over 600 programming languages. We ask that you read and acknowledge the following points before using the dataset:\n1. Downloading the dataset in bulk requires a an agreement with SoftwareHeritage and INRIA. Contact [[email protected]](mailto:[email protected]?subject=TheStackV2%20request%20for%20dataset%20access%20information) for more information.\n2. If you are using the dataset to train models you must adhere to the SoftwareHeritage [principles for language model training](https://www.softwareheritage.org/2023/10/19/swh-statement-on-llm-for-code/).\n3. The Stack v2 is a collection of source code from repositories with various licenses. Any use of all or part of the code gathered in The Stack v2 must abide by the terms of the original licenses, including attribution clauses when relevant. We facilitate this by providing provenance information for each data point.\n4. The Stack v2 is regularly updated to enact validated data removal requests. By clicking on \"Access repository\", you agree to update your own version of The Stack v2 to the most recent usable version.\n\nBy clicking on \"Access repository\" below, you accept that your contact information (email address and username) can be shared with the dataset maintainers as well.\n ", "extra_gated_fields": {"Email": "text", "I have read the License and agree with its terms": "checkbox"}, "dataset_info": {"features": [{"name": "blob_id", "dtype": "string"}, {"name": "directory_id", "dtype": "string"}, {"name": "path", "dtype": "string"}, {"name": "content_id", "dtype": "string"}, {"name": "detected_licenses", "sequence": "string"}, {"name": "license_type", "dtype": "string"}, {"name": "repo_name", "dtype": "string"}, {"name": "snapshot_id", "dtype": "string"}, {"name": "revision_id", "dtype": "string"}, {"name": "branch_name", "dtype": "string"}, {"name": "visit_date", "dtype": "timestamp[ns]"}, {"name": "revision_date", "dtype": "timestamp[ns]"}, {"name": "committer_date", "dtype": "timestamp[ns]"}, {"name": "github_id", "dtype": "int64"}, {"name": "star_events_count", "dtype": "int64"}, {"name": "fork_events_count", "dtype": "int64"}, {"name": "gha_license_id", "dtype": "string"}, {"name": "gha_event_created_at", "dtype": "timestamp[ns]"}, {"name": "gha_created_at", "dtype": "timestamp[ns]"}, {"name": "gha_language", "dtype": "string"}, {"name": "src_encoding", "dtype": "string"}, {"name": "language", "dtype": "string"}, {"name": "is_vendor", "dtype": "bool"}, {"name": "is_generated", "dtype": "bool"}, {"name": "length_bytes", "dtype": "int64"}, {"name": "extension", "dtype": "string"}]}, "configs": [{"config_name": "default", "default": true, "data_files": [{"split": "train", "path": "data/*/*.parquet"}]}, {"config_name": "1C_Enterprise", "data_files": [{"split": "train", "path": "data/1C_Enterprise/*.parquet"}]}, {"config_name": "2-Dimensional_Array", "data_files": [{"split": "train", "path": "data/2-Dimensional_Array/*.parquet"}]}, {"config_name": "4D", "data_files": [{"split": "train", "path": "data/4D/*.parquet"}]}, {"config_name": "ABAP", "data_files": [{"split": "train", "path": "data/ABAP/*.parquet"}]}, {"config_name": "ABAP_CDS", "data_files": [{"split": "train", "path": "data/ABAP_CDS/*.parquet"}]}, {"config_name": "ABNF", "data_files": [{"split": "train", "path": "data/ABNF/*.parquet"}]}, {"config_name": "AGS_Script", "data_files": [{"split": "train", "path": "data/AGS_Script/*.parquet"}]}, {"config_name": "AIDL", "data_files": [{"split": "train", "path": "data/AIDL/*.parquet"}]}, {"config_name": "AL", "data_files": [{"split": "train", "path": "data/AL/*.parquet"}]}, {"config_name": "AMPL", "data_files": [{"split": "train", "path": "data/AMPL/*.parquet"}]}, {"config_name": "ANTLR", "data_files": [{"split": "train", "path": "data/ANTLR/*.parquet"}]}, {"config_name": "API_Blueprint", "data_files": [{"split": "train", "path": "data/API_Blueprint/*.parquet"}]}, {"config_name": "APL", "data_files": [{"split": "train", "path": "data/APL/*.parquet"}]}, {"config_name": "ASL", "data_files": [{"split": "train", "path": "data/ASL/*.parquet"}]}, {"config_name": "ASN.1", "data_files": [{"split": "train", "path": "data/ASN.1/*.parquet"}]}, {"config_name": "ASP.NET", "data_files": [{"split": "train", "path": "data/ASP.NET/*.parquet"}]}, {"config_name": "ATS", "data_files": [{"split": "train", "path": "data/ATS/*.parquet"}]}, {"config_name": "ActionScript", "data_files": [{"split": "train", "path": "data/ActionScript/*.parquet"}]}, {"config_name": "Ada", "data_files": [{"split": "train", "path": "data/Ada/*.parquet"}]}, {"config_name": "Adobe_Font_Metrics", "data_files": [{"split": "train", "path": "data/Adobe_Font_Metrics/*.parquet"}]}, {"config_name": "Agda", "data_files": [{"split": "train", "path": "data/Agda/*.parquet"}]}, {"config_name": "Alloy", "data_files": [{"split": "train", "path": "data/Alloy/*.parquet"}]}, {"config_name": "Alpine_Abuild", "data_files": [{"split": "train", "path": "data/Alpine_Abuild/*.parquet"}]}, {"config_name": "Altium_Designer", "data_files": [{"split": "train", "path": "data/Altium_Designer/*.parquet"}]}, {"config_name": "AngelScript", "data_files": [{"split": "train", "path": "data/AngelScript/*.parquet"}]}, {"config_name": "Ant_Build_System", "data_files": [{"split": "train", "path": "data/Ant_Build_System/*.parquet"}]}, {"config_name": "Antlers", "data_files": [{"split": "train", "path": "data/Antlers/*.parquet"}]}, {"config_name": "ApacheConf", "data_files": [{"split": "train", "path": "data/ApacheConf/*.parquet"}]}, {"config_name": "Apex", "data_files": [{"split": "train", "path": "data/Apex/*.parquet"}]}, {"config_name": "Apollo_Guidance_Computer", "data_files": [{"split": "train", "path": "data/Apollo_Guidance_Computer/*.parquet"}]}, {"config_name": "AppleScript", "data_files": [{"split": "train", "path": "data/AppleScript/*.parquet"}]}, {"config_name": "Arc", "data_files": [{"split": "train", "path": "data/Arc/*.parquet"}]}, {"config_name": "AsciiDoc", "data_files": [{"split": "train", "path": "data/AsciiDoc/*.parquet"}]}, {"config_name": "AspectJ", "data_files": [{"split": "train", "path": "data/AspectJ/*.parquet"}]}, {"config_name": "Assembly", "data_files": [{"split": "train", "path": "data/Assembly/*.parquet"}]}, {"config_name": "Astro", "data_files": [{"split": "train", "path": "data/Astro/*.parquet"}]}, {"config_name": "Asymptote", "data_files": [{"split": "train", "path": "data/Asymptote/*.parquet"}]}, {"config_name": "Augeas", "data_files": [{"split": "train", "path": "data/Augeas/*.parquet"}]}, {"config_name": "AutoHotkey", "data_files": [{"split": "train", "path": "data/AutoHotkey/*.parquet"}]}, {"config_name": "AutoIt", "data_files": [{"split": "train", "path": "data/AutoIt/*.parquet"}]}, {"config_name": "Avro_IDL", "data_files": [{"split": "train", "path": "data/Avro_IDL/*.parquet"}]}, {"config_name": "Awk", "data_files": [{"split": "train", "path": "data/Awk/*.parquet"}]}, {"config_name": "BASIC", "data_files": [{"split": "train", "path": "data/BASIC/*.parquet"}]}, {"config_name": "Ballerina", "data_files": [{"split": "train", "path": "data/Ballerina/*.parquet"}]}, {"config_name": "Batchfile", "data_files": [{"split": "train", "path": "data/Batchfile/*.parquet"}]}, {"config_name": "Beef", "data_files": [{"split": "train", "path": "data/Beef/*.parquet"}]}, {"config_name": "Befunge", "data_files": [{"split": "train", "path": "data/Befunge/*.parquet"}]}, {"config_name": "Berry", "data_files": [{"split": "train", "path": "data/Berry/*.parquet"}]}, {"config_name": "BibTeX", "data_files": [{"split": "train", "path": "data/BibTeX/*.parquet"}]}, {"config_name": "Bicep", "data_files": [{"split": "train", "path": "data/Bicep/*.parquet"}]}, {"config_name": "Bikeshed", "data_files": [{"split": "train", "path": "data/Bikeshed/*.parquet"}]}, {"config_name": "Bison", "data_files": [{"split": "train", "path": "data/Bison/*.parquet"}]}, {"config_name": "BitBake", "data_files": [{"split": "train", "path": "data/BitBake/*.parquet"}]}, {"config_name": "Blade", "data_files": [{"split": "train", "path": "data/Blade/*.parquet"}]}, {"config_name": "BlitzBasic", "data_files": [{"split": "train", "path": "data/BlitzBasic/*.parquet"}]}, {"config_name": "BlitzMax", "data_files": [{"split": "train", "path": "data/BlitzMax/*.parquet"}]}, {"config_name": "Bluespec", "data_files": [{"split": "train", "path": "data/Bluespec/*.parquet"}]}, {"config_name": "Boo", "data_files": [{"split": "train", "path": "data/Boo/*.parquet"}]}, {"config_name": "Boogie", "data_files": [{"split": "train", "path": "data/Boogie/*.parquet"}]}, {"config_name": "Brainfuck", "data_files": [{"split": "train", "path": "data/Brainfuck/*.parquet"}]}, {"config_name": "BrighterScript", "data_files": [{"split": "train", "path": "data/BrighterScript/*.parquet"}]}, {"config_name": "Brightscript", "data_files": [{"split": "train", "path": "data/Brightscript/*.parquet"}]}, {"config_name": "Browserslist", "data_files": [{"split": "train", "path": "data/Browserslist/*.parquet"}]}, {"config_name": "C", "data_files": [{"split": "train", "path": "data/C/*.parquet"}]}, {"config_name": "C++", "data_files": [{"split": "train", "path": "data/C++/*.parquet"}]}, {"config_name": "C-ObjDump", "data_files": [{"split": "train", "path": "data/C-ObjDump/*.parquet"}]}, {"config_name": "C-Sharp", "data_files": [{"split": "train", "path": "data/C-Sharp/*.parquet"}]}, {"config_name": "C2hs_Haskell", "data_files": [{"split": "train", "path": "data/C2hs_Haskell/*.parquet"}]}, {"config_name": "CAP_CDS", "data_files": [{"split": "train", "path": "data/CAP_CDS/*.parquet"}]}, {"config_name": "CIL", "data_files": [{"split": "train", "path": "data/CIL/*.parquet"}]}, {"config_name": "CLIPS", "data_files": [{"split": "train", "path": "data/CLIPS/*.parquet"}]}, {"config_name": "CMake", "data_files": [{"split": "train", "path": "data/CMake/*.parquet"}]}, {"config_name": "COBOL", "data_files": [{"split": "train", "path": "data/COBOL/*.parquet"}]}, {"config_name": "CODEOWNERS", "data_files": [{"split": "train", "path": "data/CODEOWNERS/*.parquet"}]}, {"config_name": "COLLADA", "data_files": [{"split": "train", "path": "data/COLLADA/*.parquet"}]}, {"config_name": "CSON", "data_files": [{"split": "train", "path": "data/CSON/*.parquet"}]}, {"config_name": "CSS", "data_files": [{"split": "train", "path": "data/CSS/*.parquet"}]}, {"config_name": "CSV", "data_files": [{"split": "train", "path": "data/CSV/*.parquet"}]}, {"config_name": "CUE", "data_files": [{"split": "train", "path": "data/CUE/*.parquet"}]}, {"config_name": "CWeb", "data_files": [{"split": "train", "path": "data/CWeb/*.parquet"}]}, {"config_name": "Cabal_Config", "data_files": [{"split": "train", "path": "data/Cabal_Config/*.parquet"}]}, {"config_name": "Cadence", "data_files": [{"split": "train", "path": "data/Cadence/*.parquet"}]}, {"config_name": "Cairo", "data_files": [{"split": "train", "path": "data/Cairo/*.parquet"}]}, {"config_name": "CameLIGO", "data_files": [{"split": "train", "path": "data/CameLIGO/*.parquet"}]}, {"config_name": "Cap-n_Proto", "data_files": [{"split": "train", "path": "data/Cap-n_Proto/*.parquet"}]}, {"config_name": "CartoCSS", "data_files": [{"split": "train", "path": "data/CartoCSS/*.parquet"}]}, {"config_name": "Ceylon", "data_files": [{"split": "train", "path": "data/Ceylon/*.parquet"}]}, {"config_name": "Chapel", "data_files": [{"split": "train", "path": "data/Chapel/*.parquet"}]}, {"config_name": "Charity", "data_files": [{"split": "train", "path": "data/Charity/*.parquet"}]}, {"config_name": "Checksums", "data_files": [{"split": "train", "path": "data/Checksums/*.parquet"}]}, {"config_name": "ChucK", "data_files": [{"split": "train", "path": "data/ChucK/*.parquet"}]}, {"config_name": "Cirru", "data_files": [{"split": "train", "path": "data/Cirru/*.parquet"}]}, {"config_name": "Clarion", "data_files": [{"split": "train", "path": "data/Clarion/*.parquet"}]}, {"config_name": "Clarity", "data_files": [{"split": "train", "path": "data/Clarity/*.parquet"}]}, {"config_name": "Classic_ASP", "data_files": [{"split": "train", "path": "data/Classic_ASP/*.parquet"}]}, {"config_name": "Clean", "data_files": [{"split": "train", "path": "data/Clean/*.parquet"}]}, {"config_name": "Click", "data_files": [{"split": "train", "path": "data/Click/*.parquet"}]}, {"config_name": "Clojure", "data_files": [{"split": "train", "path": "data/Clojure/*.parquet"}]}, {"config_name": "Closure_Templates", "data_files": [{"split": "train", "path": "data/Closure_Templates/*.parquet"}]}, {"config_name": "Cloud_Firestore_Security_Rules", "data_files": [{"split": "train", "path": "data/Cloud_Firestore_Security_Rules/*.parquet"}]}, {"config_name": "CoNLL-U", "data_files": [{"split": "train", "path": "data/CoNLL-U/*.parquet"}]}, {"config_name": "CodeQL", "data_files": [{"split": "train", "path": "data/CodeQL/*.parquet"}]}, {"config_name": "CoffeeScript", "data_files": [{"split": "train", "path": "data/CoffeeScript/*.parquet"}]}, {"config_name": "ColdFusion", "data_files": [{"split": "train", "path": "data/ColdFusion/*.parquet"}]}, {"config_name": "ColdFusion_CFC", "data_files": [{"split": "train", "path": "data/ColdFusion_CFC/*.parquet"}]}, {"config_name": "Common_Lisp", "data_files": [{"split": "train", "path": "data/Common_Lisp/*.parquet"}]}, {"config_name": "Common_Workflow_Language", "data_files": [{"split": "train", "path": "data/Common_Workflow_Language/*.parquet"}]}, {"config_name": "Component_Pascal", "data_files": [{"split": "train", "path": "data/Component_Pascal/*.parquet"}]}, {"config_name": "Cool", "data_files": [{"split": "train", "path": "data/Cool/*.parquet"}]}, {"config_name": "Coq", "data_files": [{"split": "train", "path": "data/Coq/*.parquet"}]}, {"config_name": "Creole", "data_files": [{"split": "train", "path": "data/Creole/*.parquet"}]}, {"config_name": "Crystal", "data_files": [{"split": "train", "path": "data/Crystal/*.parquet"}]}, {"config_name": "Csound", "data_files": [{"split": "train", "path": "data/Csound/*.parquet"}]}, {"config_name": "Csound_Document", "data_files": [{"split": "train", "path": "data/Csound_Document/*.parquet"}]}, {"config_name": "Csound_Score", "data_files": [{"split": "train", "path": "data/Csound_Score/*.parquet"}]}, {"config_name": "Cuda", "data_files": [{"split": "train", "path": "data/Cuda/*.parquet"}]}, {"config_name": "Cue_Sheet", "data_files": [{"split": "train", "path": "data/Cue_Sheet/*.parquet"}]}, {"config_name": "Curry", "data_files": [{"split": "train", "path": "data/Curry/*.parquet"}]}, {"config_name": "Cycript", "data_files": [{"split": "train", "path": "data/Cycript/*.parquet"}]}, {"config_name": "Cython", "data_files": [{"split": "train", "path": "data/Cython/*.parquet"}]}, {"config_name": "D", "data_files": [{"split": "train", "path": "data/D/*.parquet"}]}, {"config_name": "DIGITAL_Command_Language", "data_files": [{"split": "train", "path": "data/DIGITAL_Command_Language/*.parquet"}]}, {"config_name": "DM", "data_files": [{"split": "train", "path": "data/DM/*.parquet"}]}, {"config_name": "DNS_Zone", "data_files": [{"split": "train", "path": "data/DNS_Zone/*.parquet"}]}, {"config_name": "DTrace", "data_files": [{"split": "train", "path": "data/DTrace/*.parquet"}]}, {"config_name": "Dafny", "data_files": [{"split": "train", "path": "data/Dafny/*.parquet"}]}, {"config_name": "Darcs_Patch", "data_files": [{"split": "train", "path": "data/Darcs_Patch/*.parquet"}]}, {"config_name": "Dart", "data_files": [{"split": "train", "path": "data/Dart/*.parquet"}]}, {"config_name": "DataWeave", "data_files": [{"split": "train", "path": "data/DataWeave/*.parquet"}]}, {"config_name": "Debian_Package_Control_File", "data_files": [{"split": "train", "path": "data/Debian_Package_Control_File/*.parquet"}]}, {"config_name": "DenizenScript", "data_files": [{"split": "train", "path": "data/DenizenScript/*.parquet"}]}, {"config_name": "Dhall", "data_files": [{"split": "train", "path": "data/Dhall/*.parquet"}]}, {"config_name": "Diff", "data_files": [{"split": "train", "path": "data/Diff/*.parquet"}]}, {"config_name": "DirectX_3D_File", "data_files": [{"split": "train", "path": "data/DirectX_3D_File/*.parquet"}]}, {"config_name": "Dockerfile", "data_files": [{"split": "train", "path": "data/Dockerfile/*.parquet"}]}, {"config_name": "Dogescript", "data_files": [{"split": "train", "path": "data/Dogescript/*.parquet"}]}, {"config_name": "Dylan", "data_files": [{"split": "train", "path": "data/Dylan/*.parquet"}]}, {"config_name": "E", "data_files": [{"split": "train", "path": "data/E/*.parquet"}]}, {"config_name": "E-mail", "data_files": [{"split": "train", "path": "data/E-mail/*.parquet"}]}, {"config_name": "EBNF", "data_files": [{"split": "train", "path": "data/EBNF/*.parquet"}]}, {"config_name": "ECL", "data_files": [{"split": "train", "path": "data/ECL/*.parquet"}]}, {"config_name": "ECLiPSe", "data_files": [{"split": "train", "path": "data/ECLiPSe/*.parquet"}]}, {"config_name": "EJS", "data_files": [{"split": "train", "path": "data/EJS/*.parquet"}]}, {"config_name": "EQ", "data_files": [{"split": "train", "path": "data/EQ/*.parquet"}]}, {"config_name": "Eagle", "data_files": [{"split": "train", "path": "data/Eagle/*.parquet"}]}, {"config_name": "Earthly", "data_files": [{"split": "train", "path": "data/Earthly/*.parquet"}]}, {"config_name": "Easybuild", "data_files": [{"split": "train", "path": "data/Easybuild/*.parquet"}]}, {"config_name": "Ecere_Projects", "data_files": [{"split": "train", "path": "data/Ecere_Projects/*.parquet"}]}, {"config_name": "EditorConfig", "data_files": [{"split": "train", "path": "data/EditorConfig/*.parquet"}]}, {"config_name": "Edje_Data_Collection", "data_files": [{"split": "train", "path": "data/Edje_Data_Collection/*.parquet"}]}, {"config_name": "Eiffel", "data_files": [{"split": "train", "path": "data/Eiffel/*.parquet"}]}, {"config_name": "Elixir", "data_files": [{"split": "train", "path": "data/Elixir/*.parquet"}]}, {"config_name": "Elm", "data_files": [{"split": "train", "path": "data/Elm/*.parquet"}]}, {"config_name": "Elvish", "data_files": [{"split": "train", "path": "data/Elvish/*.parquet"}]}, {"config_name": "Emacs_Lisp", "data_files": [{"split": "train", "path": "data/Emacs_Lisp/*.parquet"}]}, {"config_name": "EmberScript", "data_files": [{"split": "train", "path": "data/EmberScript/*.parquet"}]}, {"config_name": "Erlang", "data_files": [{"split": "train", "path": "data/Erlang/*.parquet"}]}, {"config_name": "Euphoria", "data_files": [{"split": "train", "path": "data/Euphoria/*.parquet"}]}, {"config_name": "F-Sharp", "data_files": [{"split": "train", "path": "data/F-Sharp/*.parquet"}]}, {"config_name": "F-Star", "data_files": [{"split": "train", "path": "data/F-Star/*.parquet"}]}, {"config_name": "FIGlet_Font", "data_files": [{"split": "train", "path": "data/FIGlet_Font/*.parquet"}]}, {"config_name": "FLUX", "data_files": [{"split": "train", "path": "data/FLUX/*.parquet"}]}, {"config_name": "Factor", "data_files": [{"split": "train", "path": "data/Factor/*.parquet"}]}, {"config_name": "Fancy", "data_files": [{"split": "train", "path": "data/Fancy/*.parquet"}]}, {"config_name": "Fantom", "data_files": [{"split": "train", "path": "data/Fantom/*.parquet"}]}, {"config_name": "Faust", "data_files": [{"split": "train", "path": "data/Faust/*.parquet"}]}, {"config_name": "Fennel", "data_files": [{"split": "train", "path": "data/Fennel/*.parquet"}]}, {"config_name": "Filebench_WML", "data_files": [{"split": "train", "path": "data/Filebench_WML/*.parquet"}]}, {"config_name": "Filterscript", "data_files": [{"split": "train", "path": "data/Filterscript/*.parquet"}]}, {"config_name": "Fluent", "data_files": [{"split": "train", "path": "data/Fluent/*.parquet"}]}, {"config_name": "Formatted", "data_files": [{"split": "train", "path": "data/Formatted/*.parquet"}]}, {"config_name": "Forth", "data_files": [{"split": "train", "path": "data/Forth/*.parquet"}]}, {"config_name": "Fortran", "data_files": [{"split": "train", "path": "data/Fortran/*.parquet"}]}, {"config_name": "Fortran_Free_Form", "data_files": [{"split": "train", "path": "data/Fortran_Free_Form/*.parquet"}]}, {"config_name": "FreeBasic", "data_files": [{"split": "train", "path": "data/FreeBasic/*.parquet"}]}, {"config_name": "FreeMarker", "data_files": [{"split": "train", "path": "data/FreeMarker/*.parquet"}]}, {"config_name": "Frege", "data_files": [{"split": "train", "path": "data/Frege/*.parquet"}]}, {"config_name": "Futhark", "data_files": [{"split": "train", "path": "data/Futhark/*.parquet"}]}, {"config_name": "G-code", "data_files": [{"split": "train", "path": "data/G-code/*.parquet"}]}, {"config_name": "GAML", "data_files": [{"split": "train", "path": "data/GAML/*.parquet"}]}, {"config_name": "GAMS", "data_files": [{"split": "train", "path": "data/GAMS/*.parquet"}]}, {"config_name": "GAP", "data_files": [{"split": "train", "path": "data/GAP/*.parquet"}]}, {"config_name": "GCC_Machine_Description", "data_files": [{"split": "train", "path": "data/GCC_Machine_Description/*.parquet"}]}, {"config_name": "GDB", "data_files": [{"split": "train", "path": "data/GDB/*.parquet"}]}, {"config_name": "GDScript", "data_files": [{"split": "train", "path": "data/GDScript/*.parquet"}]}, {"config_name": "GEDCOM", "data_files": [{"split": "train", "path": "data/GEDCOM/*.parquet"}]}, {"config_name": "GLSL", "data_files": [{"split": "train", "path": "data/GLSL/*.parquet"}]}, {"config_name": "GN", "data_files": [{"split": "train", "path": "data/GN/*.parquet"}]}, {"config_name": "GSC", "data_files": [{"split": "train", "path": "data/GSC/*.parquet"}]}, {"config_name": "Game_Maker_Language", "data_files": [{"split": "train", "path": "data/Game_Maker_Language/*.parquet"}]}, {"config_name": "Gemfile.lock", "data_files": [{"split": "train", "path": "data/Gemfile.lock/*.parquet"}]}, {"config_name": "Gemini", "data_files": [{"split": "train", "path": "data/Gemini/*.parquet"}]}, {"config_name": "Genero", "data_files": [{"split": "train", "path": "data/Genero/*.parquet"}]}, {"config_name": "Genero_Forms", "data_files": [{"split": "train", "path": "data/Genero_Forms/*.parquet"}]}, {"config_name": "Genie", "data_files": [{"split": "train", "path": "data/Genie/*.parquet"}]}, {"config_name": "Genshi", "data_files": [{"split": "train", "path": "data/Genshi/*.parquet"}]}, {"config_name": "Gentoo_Ebuild", "data_files": [{"split": "train", "path": "data/Gentoo_Ebuild/*.parquet"}]}, {"config_name": "Gentoo_Eclass", "data_files": [{"split": "train", "path": "data/Gentoo_Eclass/*.parquet"}]}, {"config_name": "Gerber_Image", "data_files": [{"split": "train", "path": "data/Gerber_Image/*.parquet"}]}, {"config_name": "Gettext_Catalog", "data_files": [{"split": "train", "path": "data/Gettext_Catalog/*.parquet"}]}, {"config_name": "Gherkin", "data_files": [{"split": "train", "path": "data/Gherkin/*.parquet"}]}, {"config_name": "Git_Attributes", "data_files": [{"split": "train", "path": "data/Git_Attributes/*.parquet"}]}, {"config_name": "Git_Config", "data_files": [{"split": "train", "path": "data/Git_Config/*.parquet"}]}, {"config_name": "Git_Revision_List", "data_files": [{"split": "train", "path": "data/Git_Revision_List/*.parquet"}]}, {"config_name": "Gleam", "data_files": [{"split": "train", "path": "data/Gleam/*.parquet"}]}, {"config_name": "Glyph", "data_files": [{"split": "train", "path": "data/Glyph/*.parquet"}]}, {"config_name": "Glyph_Bitmap_Distribution_Format", "data_files": [{"split": "train", "path": "data/Glyph_Bitmap_Distribution_Format/*.parquet"}]}, {"config_name": "Gnuplot", "data_files": [{"split": "train", "path": "data/Gnuplot/*.parquet"}]}, {"config_name": "Go", "data_files": [{"split": "train", "path": "data/Go/*.parquet"}]}, {"config_name": "Go_Checksums", "data_files": [{"split": "train", "path": "data/Go_Checksums/*.parquet"}]}, {"config_name": "Go_Module", "data_files": [{"split": "train", "path": "data/Go_Module/*.parquet"}]}, {"config_name": "Golo", "data_files": [{"split": "train", "path": "data/Golo/*.parquet"}]}, {"config_name": "Gosu", "data_files": [{"split": "train", "path": "data/Gosu/*.parquet"}]}, {"config_name": "Grace", "data_files": [{"split": "train", "path": "data/Grace/*.parquet"}]}, {"config_name": "Gradle", "data_files": [{"split": "train", "path": "data/Gradle/*.parquet"}]}, {"config_name": "Grammatical_Framework", "data_files": [{"split": "train", "path": "data/Grammatical_Framework/*.parquet"}]}, {"config_name": "GraphQL", "data_files": [{"split": "train", "path": "data/GraphQL/*.parquet"}]}, {"config_name": "Graph_Modeling_Language", "data_files": [{"split": "train", "path": "data/Graph_Modeling_Language/*.parquet"}]}, {"config_name": "Graphviz_(DOT)", "data_files": [{"split": "train", "path": "data/Graphviz_(DOT)/*.parquet"}]}, {"config_name": "Groovy", "data_files": [{"split": "train", "path": "data/Groovy/*.parquet"}]}, {"config_name": "Groovy_Server_Pages", "data_files": [{"split": "train", "path": "data/Groovy_Server_Pages/*.parquet"}]}, {"config_name": "HAProxy", "data_files": [{"split": "train", "path": "data/HAProxy/*.parquet"}]}, {"config_name": "HCL", "data_files": [{"split": "train", "path": "data/HCL/*.parquet"}]}, {"config_name": "HLSL", "data_files": [{"split": "train", "path": "data/HLSL/*.parquet"}]}, {"config_name": "HOCON", "data_files": [{"split": "train", "path": "data/HOCON/*.parquet"}]}, {"config_name": "HTML", "data_files": [{"split": "train", "path": "data/HTML/*.parquet"}]}, {"config_name": "HTML+ECR", "data_files": [{"split": "train", "path": "data/HTML+ECR/*.parquet"}]}, {"config_name": "HTML+EEX", "data_files": [{"split": "train", "path": "data/HTML+EEX/*.parquet"}]}, {"config_name": "HTML+ERB", "data_files": [{"split": "train", "path": "data/HTML+ERB/*.parquet"}]}, {"config_name": "HTML+PHP", "data_files": [{"split": "train", "path": "data/HTML+PHP/*.parquet"}]}, {"config_name": "HTML+Razor", "data_files": [{"split": "train", "path": "data/HTML+Razor/*.parquet"}]}, {"config_name": "HTTP", "data_files": [{"split": "train", "path": "data/HTTP/*.parquet"}]}, {"config_name": "HXML", "data_files": [{"split": "train", "path": "data/HXML/*.parquet"}]}, {"config_name": "Hack", "data_files": [{"split": "train", "path": "data/Hack/*.parquet"}]}, {"config_name": "Haml", "data_files": [{"split": "train", "path": "data/Haml/*.parquet"}]}, {"config_name": "Handlebars", "data_files": [{"split": "train", "path": "data/Handlebars/*.parquet"}]}, {"config_name": "Harbour", "data_files": [{"split": "train", "path": "data/Harbour/*.parquet"}]}, {"config_name": "Haskell", "data_files": [{"split": "train", "path": "data/Haskell/*.parquet"}]}, {"config_name": "Haxe", "data_files": [{"split": "train", "path": "data/Haxe/*.parquet"}]}, {"config_name": "HiveQL", "data_files": [{"split": "train", "path": "data/HiveQL/*.parquet"}]}, {"config_name": "HolyC", "data_files": [{"split": "train", "path": "data/HolyC/*.parquet"}]}, {"config_name": "Hy", "data_files": [{"split": "train", "path": "data/Hy/*.parquet"}]}, {"config_name": "HyPhy", "data_files": [{"split": "train", "path": "data/HyPhy/*.parquet"}]}, {"config_name": "IDL", "data_files": [{"split": "train", "path": "data/IDL/*.parquet"}]}, {"config_name": "IGOR_Pro", "data_files": [{"split": "train", "path": "data/IGOR_Pro/*.parquet"}]}, {"config_name": "INI", "data_files": [{"split": "train", "path": "data/INI/*.parquet"}]}, {"config_name": "IRC_log", "data_files": [{"split": "train", "path": "data/IRC_log/*.parquet"}]}, {"config_name": "Idris", "data_files": [{"split": "train", "path": "data/Idris/*.parquet"}]}, {"config_name": "Ignore_List", "data_files": [{"split": "train", "path": "data/Ignore_List/*.parquet"}]}, {"config_name": "ImageJ_Macro", "data_files": [{"split": "train", "path": "data/ImageJ_Macro/*.parquet"}]}, {"config_name": "Inform_7", "data_files": [{"split": "train", "path": "data/Inform_7/*.parquet"}]}, {"config_name": "Inno_Setup", "data_files": [{"split": "train", "path": "data/Inno_Setup/*.parquet"}]}, {"config_name": "Io", "data_files": [{"split": "train", "path": "data/Io/*.parquet"}]}, {"config_name": "Ioke", "data_files": [{"split": "train", "path": "data/Ioke/*.parquet"}]}, {"config_name": "Isabelle", "data_files": [{"split": "train", "path": "data/Isabelle/*.parquet"}]}, {"config_name": "Isabelle_ROOT", "data_files": [{"split": "train", "path": "data/Isabelle_ROOT/*.parquet"}]}, {"config_name": "J", "data_files": [{"split": "train", "path": "data/J/*.parquet"}]}, {"config_name": "JAR_Manifest", "data_files": [{"split": "train", "path": "data/JAR_Manifest/*.parquet"}]}, {"config_name": "JFlex", "data_files": [{"split": "train", "path": "data/JFlex/*.parquet"}]}, {"config_name": "JSON", "data_files": [{"split": "train", "path": "data/JSON/*.parquet"}]}, {"config_name": "JSON5", "data_files": [{"split": "train", "path": "data/JSON5/*.parquet"}]}, {"config_name": "JSONLD", "data_files": [{"split": "train", "path": "data/JSONLD/*.parquet"}]}, {"config_name": "JSON_with_Comments", "data_files": [{"split": "train", "path": "data/JSON_with_Comments/*.parquet"}]}, {"config_name": "JSONiq", "data_files": [{"split": "train", "path": "data/JSONiq/*.parquet"}]}, {"config_name": "Janet", "data_files": [{"split": "train", "path": "data/Janet/*.parquet"}]}, {"config_name": "Jasmin", "data_files": [{"split": "train", "path": "data/Jasmin/*.parquet"}]}, {"config_name": "Java", "data_files": [{"split": "train", "path": "data/Java/*.parquet"}]}, {"config_name": "JavaScript", "data_files": [{"split": "train", "path": "data/JavaScript/*.parquet"}]}, {"config_name": "JavaScript+ERB", "data_files": [{"split": "train", "path": "data/JavaScript+ERB/*.parquet"}]}, {"config_name": "Java_Properties", "data_files": [{"split": "train", "path": "data/Java_Properties/*.parquet"}]}, {"config_name": "Java_Server_Pages", "data_files": [{"split": "train", "path": "data/Java_Server_Pages/*.parquet"}]}, {"config_name": "Jest_Snapshot", "data_files": [{"split": "train", "path": "data/Jest_Snapshot/*.parquet"}]}, {"config_name": "JetBrains_MPS", "data_files": [{"split": "train", "path": "data/JetBrains_MPS/*.parquet"}]}, {"config_name": "Jinja", "data_files": [{"split": "train", "path": "data/Jinja/*.parquet"}]}, {"config_name": "Jison", "data_files": [{"split": "train", "path": "data/Jison/*.parquet"}]}, {"config_name": "Jison_Lex", "data_files": [{"split": "train", "path": "data/Jison_Lex/*.parquet"}]}, {"config_name": "Jolie", "data_files": [{"split": "train", "path": "data/Jolie/*.parquet"}]}, {"config_name": "Jsonnet", "data_files": [{"split": "train", "path": "data/Jsonnet/*.parquet"}]}, {"config_name": "Julia", "data_files": [{"split": "train", "path": "data/Julia/*.parquet"}]}, {"config_name": "Jupyter_Notebook", "data_files": [{"split": "train", "path": "data/Jupyter_Notebook/*.parquet"}]}, {"config_name": "KRL", "data_files": [{"split": "train", "path": "data/KRL/*.parquet"}]}, {"config_name": "Kaitai_Struct", "data_files": [{"split": "train", "path": "data/Kaitai_Struct/*.parquet"}]}, {"config_name": "KakouneScript", "data_files": [{"split": "train", "path": "data/KakouneScript/*.parquet"}]}, {"config_name": "KiCad_Layout", "data_files": [{"split": "train", "path": "data/KiCad_Layout/*.parquet"}]}, {"config_name": "KiCad_Legacy_Layout", "data_files": [{"split": "train", "path": "data/KiCad_Legacy_Layout/*.parquet"}]}, {"config_name": "KiCad_Schematic", "data_files": [{"split": "train", "path": "data/KiCad_Schematic/*.parquet"}]}, {"config_name": "Kit", "data_files": [{"split": "train", "path": "data/Kit/*.parquet"}]}, {"config_name": "Kotlin", "data_files": [{"split": "train", "path": "data/Kotlin/*.parquet"}]}, {"config_name": "Kusto", "data_files": [{"split": "train", "path": "data/Kusto/*.parquet"}]}, {"config_name": "LFE", "data_files": [{"split": "train", "path": "data/LFE/*.parquet"}]}, {"config_name": "LLVM", "data_files": [{"split": "train", "path": "data/LLVM/*.parquet"}]}, {"config_name": "LOLCODE", "data_files": [{"split": "train", "path": "data/LOLCODE/*.parquet"}]}, {"config_name": "LSL", "data_files": [{"split": "train", "path": "data/LSL/*.parquet"}]}, {"config_name": "LTspice_Symbol", "data_files": [{"split": "train", "path": "data/LTspice_Symbol/*.parquet"}]}, {"config_name": "LabVIEW", "data_files": [{"split": "train", "path": "data/LabVIEW/*.parquet"}]}, {"config_name": "Lark", "data_files": [{"split": "train", "path": "data/Lark/*.parquet"}]}, {"config_name": "Lasso", "data_files": [{"split": "train", "path": "data/Lasso/*.parquet"}]}, {"config_name": "Latte", "data_files": [{"split": "train", "path": "data/Latte/*.parquet"}]}, {"config_name": "Lean", "data_files": [{"split": "train", "path": "data/Lean/*.parquet"}]}, {"config_name": "Less", "data_files": [{"split": "train", "path": "data/Less/*.parquet"}]}, {"config_name": "Lex", "data_files": [{"split": "train", "path": "data/Lex/*.parquet"}]}, {"config_name": "LigoLANG", "data_files": [{"split": "train", "path": "data/LigoLANG/*.parquet"}]}, {"config_name": "LilyPond", "data_files": [{"split": "train", "path": "data/LilyPond/*.parquet"}]}, {"config_name": "Limbo", "data_files": [{"split": "train", "path": "data/Limbo/*.parquet"}]}, {"config_name": "Linker_Script", "data_files": [{"split": "train", "path": "data/Linker_Script/*.parquet"}]}, {"config_name": "Linux_Kernel_Module", "data_files": [{"split": "train", "path": "data/Linux_Kernel_Module/*.parquet"}]}, {"config_name": "Liquid", "data_files": [{"split": "train", "path": "data/Liquid/*.parquet"}]}, {"config_name": "Literate_Agda", "data_files": [{"split": "train", "path": "data/Literate_Agda/*.parquet"}]}, {"config_name": "Literate_CoffeeScript", "data_files": [{"split": "train", "path": "data/Literate_CoffeeScript/*.parquet"}]}, {"config_name": "Literate_Haskell", "data_files": [{"split": "train", "path": "data/Literate_Haskell/*.parquet"}]}, {"config_name": "LiveScript", "data_files": [{"split": "train", "path": "data/LiveScript/*.parquet"}]}, {"config_name": "Logos", "data_files": [{"split": "train", "path": "data/Logos/*.parquet"}]}, {"config_name": "Logtalk", "data_files": [{"split": "train", "path": "data/Logtalk/*.parquet"}]}, {"config_name": "LookML", "data_files": [{"split": "train", "path": "data/LookML/*.parquet"}]}, {"config_name": "LoomScript", "data_files": [{"split": "train", "path": "data/LoomScript/*.parquet"}]}, {"config_name": "Lua", "data_files": [{"split": "train", "path": "data/Lua/*.parquet"}]}, {"config_name": "M", "data_files": [{"split": "train", "path": "data/M/*.parquet"}]}, {"config_name": "M4", "data_files": [{"split": "train", "path": "data/M4/*.parquet"}]}, {"config_name": "M4Sugar", "data_files": [{"split": "train", "path": "data/M4Sugar/*.parquet"}]}, {"config_name": "MATLAB", "data_files": [{"split": "train", "path": "data/MATLAB/*.parquet"}]}, {"config_name": "MAXScript", "data_files": [{"split": "train", "path": "data/MAXScript/*.parquet"}]}, {"config_name": "MLIR", "data_files": [{"split": "train", "path": "data/MLIR/*.parquet"}]}, {"config_name": "MQL4", "data_files": [{"split": "train", "path": "data/MQL4/*.parquet"}]}, {"config_name": "MQL5", "data_files": [{"split": "train", "path": "data/MQL5/*.parquet"}]}, {"config_name": "MTML", "data_files": [{"split": "train", "path": "data/MTML/*.parquet"}]}, {"config_name": "MUF", "data_files": [{"split": "train", "path": "data/MUF/*.parquet"}]}, {"config_name": "Macaulay2", "data_files": [{"split": "train", "path": "data/Macaulay2/*.parquet"}]}, {"config_name": "Makefile", "data_files": [{"split": "train", "path": "data/Makefile/*.parquet"}]}, {"config_name": "Mako", "data_files": [{"split": "train", "path": "data/Mako/*.parquet"}]}, {"config_name": "Markdown", "data_files": [{"split": "train", "path": "data/Markdown/*.parquet"}]}, {"config_name": "Marko", "data_files": [{"split": "train", "path": "data/Marko/*.parquet"}]}, {"config_name": "Mask", "data_files": [{"split": "train", "path": "data/Mask/*.parquet"}]}, {"config_name": "Mathematica", "data_files": [{"split": "train", "path": "data/Mathematica/*.parquet"}]}, {"config_name": "Maven_POM", "data_files": [{"split": "train", "path": "data/Maven_POM/*.parquet"}]}, {"config_name": "Max", "data_files": [{"split": "train", "path": "data/Max/*.parquet"}]}, {"config_name": "Mercury", "data_files": [{"split": "train", "path": "data/Mercury/*.parquet"}]}, {"config_name": "Meson", "data_files": [{"split": "train", "path": "data/Meson/*.parquet"}]}, {"config_name": "Metal", "data_files": [{"split": "train", "path": "data/Metal/*.parquet"}]}, {"config_name": "Microsoft_Developer_Studio_Project", "data_files": [{"split": "train", "path": "data/Microsoft_Developer_Studio_Project/*.parquet"}]}, {"config_name": "Microsoft_Visual_Studio_Solution", "data_files": [{"split": "train", "path": "data/Microsoft_Visual_Studio_Solution/*.parquet"}]}, {"config_name": "MiniD", "data_files": [{"split": "train", "path": "data/MiniD/*.parquet"}]}, {"config_name": "MiniYAML", "data_files": [{"split": "train", "path": "data/MiniYAML/*.parquet"}]}, {"config_name": "Mint", "data_files": [{"split": "train", "path": "data/Mint/*.parquet"}]}, {"config_name": "Mirah", "data_files": [{"split": "train", "path": "data/Mirah/*.parquet"}]}, {"config_name": "Modelica", "data_files": [{"split": "train", "path": "data/Modelica/*.parquet"}]}, {"config_name": "Modula-2", "data_files": [{"split": "train", "path": "data/Modula-2/*.parquet"}]}, {"config_name": "Modula-3", "data_files": [{"split": "train", "path": "data/Modula-3/*.parquet"}]}, {"config_name": "Module_Management_System", "data_files": [{"split": "train", "path": "data/Module_Management_System/*.parquet"}]}, {"config_name": "Monkey", "data_files": [{"split": "train", "path": "data/Monkey/*.parquet"}]}, {"config_name": "Monkey_C", "data_files": [{"split": "train", "path": "data/Monkey_C/*.parquet"}]}, {"config_name": "Moocode", "data_files": [{"split": "train", "path": "data/Moocode/*.parquet"}]}, {"config_name": "MoonScript", "data_files": [{"split": "train", "path": "data/MoonScript/*.parquet"}]}, {"config_name": "Motoko", "data_files": [{"split": "train", "path": "data/Motoko/*.parquet"}]}, {"config_name": "Motorola_68K_Assembly", "data_files": [{"split": "train", "path": "data/Motorola_68K_Assembly/*.parquet"}]}, {"config_name": "Move", "data_files": [{"split": "train", "path": "data/Move/*.parquet"}]}, {"config_name": "Muse", "data_files": [{"split": "train", "path": "data/Muse/*.parquet"}]}, {"config_name": "Mustache", "data_files": [{"split": "train", "path": "data/Mustache/*.parquet"}]}, {"config_name": "Myghty", "data_files": [{"split": "train", "path": "data/Myghty/*.parquet"}]}, {"config_name": "NASL", "data_files": [{"split": "train", "path": "data/NASL/*.parquet"}]}, {"config_name": "NCL", "data_files": [{"split": "train", "path": "data/NCL/*.parquet"}]}, {"config_name": "NEON", "data_files": [{"split": "train", "path": "data/NEON/*.parquet"}]}, {"config_name": "NL", "data_files": [{"split": "train", "path": "data/NL/*.parquet"}]}, {"config_name": "NPM_Config", "data_files": [{"split": "train", "path": "data/NPM_Config/*.parquet"}]}, {"config_name": "NSIS", "data_files": [{"split": "train", "path": "data/NSIS/*.parquet"}]}, {"config_name": "NWScript", "data_files": [{"split": "train", "path": "data/NWScript/*.parquet"}]}, {"config_name": "Nasal", "data_files": [{"split": "train", "path": "data/Nasal/*.parquet"}]}, {"config_name": "Nearley", "data_files": [{"split": "train", "path": "data/Nearley/*.parquet"}]}, {"config_name": "Nemerle", "data_files": [{"split": "train", "path": "data/Nemerle/*.parquet"}]}, {"config_name": "NetLinx", "data_files": [{"split": "train", "path": "data/NetLinx/*.parquet"}]}, {"config_name": "NetLinx+ERB", "data_files": [{"split": "train", "path": "data/NetLinx+ERB/*.parquet"}]}, {"config_name": "NetLogo", "data_files": [{"split": "train", "path": "data/NetLogo/*.parquet"}]}, {"config_name": "NewLisp", "data_files": [{"split": "train", "path": "data/NewLisp/*.parquet"}]}, {"config_name": "Nextflow", "data_files": [{"split": "train", "path": "data/Nextflow/*.parquet"}]}, {"config_name": "Nginx", "data_files": [{"split": "train", "path": "data/Nginx/*.parquet"}]}, {"config_name": "Nim", "data_files": [{"split": "train", "path": "data/Nim/*.parquet"}]}, {"config_name": "Ninja", "data_files": [{"split": "train", "path": "data/Ninja/*.parquet"}]}, {"config_name": "Nit", "data_files": [{"split": "train", "path": "data/Nit/*.parquet"}]}, {"config_name": "Nix", "data_files": [{"split": "train", "path": "data/Nix/*.parquet"}]}, {"config_name": "Nu", "data_files": [{"split": "train", "path": "data/Nu/*.parquet"}]}, {"config_name": "NumPy", "data_files": [{"split": "train", "path": "data/NumPy/*.parquet"}]}, {"config_name": "Nunjucks", "data_files": [{"split": "train", "path": "data/Nunjucks/*.parquet"}]}, {"config_name": "OCaml", "data_files": [{"split": "train", "path": "data/OCaml/*.parquet"}]}, {"config_name": "ObjDump", "data_files": [{"split": "train", "path": "data/ObjDump/*.parquet"}]}, {"config_name": "ObjectScript", "data_files": [{"split": "train", "path": "data/ObjectScript/*.parquet"}]}, {"config_name": "Object_Data_Instance_Notation", "data_files": [{"split": "train", "path": "data/Object_Data_Instance_Notation/*.parquet"}]}, {"config_name": "Objective-C", "data_files": [{"split": "train", "path": "data/Objective-C/*.parquet"}]}, {"config_name": "Objective-C++", "data_files": [{"split": "train", "path": "data/Objective-C++/*.parquet"}]}, {"config_name": "Objective-J", "data_files": [{"split": "train", "path": "data/Objective-J/*.parquet"}]}, {"config_name": "Odin", "data_files": [{"split": "train", "path": "data/Odin/*.parquet"}]}, {"config_name": "Omgrofl", "data_files": [{"split": "train", "path": "data/Omgrofl/*.parquet"}]}, {"config_name": "Opa", "data_files": [{"split": "train", "path": "data/Opa/*.parquet"}]}, {"config_name": "Opal", "data_files": [{"split": "train", "path": "data/Opal/*.parquet"}]}, {"config_name": "OpenCL", "data_files": [{"split": "train", "path": "data/OpenCL/*.parquet"}]}, {"config_name": "OpenEdge_ABL", "data_files": [{"split": "train", "path": "data/OpenEdge_ABL/*.parquet"}]}, {"config_name": "OpenQASM", "data_files": [{"split": "train", "path": "data/OpenQASM/*.parquet"}]}, {"config_name": "OpenRC_runscript", "data_files": [{"split": "train", "path": "data/OpenRC_runscript/*.parquet"}]}, {"config_name": "OpenSCAD", "data_files": [{"split": "train", "path": "data/OpenSCAD/*.parquet"}]}, {"config_name": "OpenStep_Property_List", "data_files": [{"split": "train", "path": "data/OpenStep_Property_List/*.parquet"}]}, {"config_name": "OpenType_Feature_File", "data_files": [{"split": "train", "path": "data/OpenType_Feature_File/*.parquet"}]}, {"config_name": "Open_Policy_Agent", "data_files": [{"split": "train", "path": "data/Open_Policy_Agent/*.parquet"}]}, {"config_name": "Org", "data_files": [{"split": "train", "path": "data/Org/*.parquet"}]}, {"config_name": "Ox", "data_files": [{"split": "train", "path": "data/Ox/*.parquet"}]}, {"config_name": "Oxygene", "data_files": [{"split": "train", "path": "data/Oxygene/*.parquet"}]}, {"config_name": "Oz", "data_files": [{"split": "train", "path": "data/Oz/*.parquet"}]}, {"config_name": "P4", "data_files": [{"split": "train", "path": "data/P4/*.parquet"}]}, {"config_name": "PEG.js", "data_files": [{"split": "train", "path": "data/PEG.js/*.parquet"}]}, {"config_name": "PHP", "data_files": [{"split": "train", "path": "data/PHP/*.parquet"}]}, {"config_name": "PLSQL", "data_files": [{"split": "train", "path": "data/PLSQL/*.parquet"}]}, {"config_name": "PLpgSQL", "data_files": [{"split": "train", "path": "data/PLpgSQL/*.parquet"}]}, {"config_name": "POV-Ray_SDL", "data_files": [{"split": "train", "path": "data/POV-Ray_SDL/*.parquet"}]}, {"config_name": "Pan", "data_files": [{"split": "train", "path": "data/Pan/*.parquet"}]}, {"config_name": "Papyrus", "data_files": [{"split": "train", "path": "data/Papyrus/*.parquet"}]}, {"config_name": "Parrot", "data_files": [{"split": "train", "path": "data/Parrot/*.parquet"}]}, {"config_name": "Parrot_Assembly", "data_files": [{"split": "train", "path": "data/Parrot_Assembly/*.parquet"}]}, {"config_name": "Parrot_Internal_Representation", "data_files": [{"split": "train", "path": "data/Parrot_Internal_Representation/*.parquet"}]}, {"config_name": "Pascal", "data_files": [{"split": "train", "path": "data/Pascal/*.parquet"}]}, {"config_name": "Pawn", "data_files": [{"split": "train", "path": "data/Pawn/*.parquet"}]}, {"config_name": "Pep8", "data_files": [{"split": "train", "path": "data/Pep8/*.parquet"}]}, {"config_name": "Perl", "data_files": [{"split": "train", "path": "data/Perl/*.parquet"}]}, {"config_name": "Pic", "data_files": [{"split": "train", "path": "data/Pic/*.parquet"}]}, {"config_name": "Pickle", "data_files": [{"split": "train", "path": "data/Pickle/*.parquet"}]}, {"config_name": "PicoLisp", "data_files": [{"split": "train", "path": "data/PicoLisp/*.parquet"}]}, {"config_name": "PigLatin", "data_files": [{"split": "train", "path": "data/PigLatin/*.parquet"}]}, {"config_name": "Pike", "data_files": [{"split": "train", "path": "data/Pike/*.parquet"}]}, {"config_name": "PlantUML", "data_files": [{"split": "train", "path": "data/PlantUML/*.parquet"}]}, {"config_name": "Pod", "data_files": [{"split": "train", "path": "data/Pod/*.parquet"}]}, {"config_name": "Pod_6", "data_files": [{"split": "train", "path": "data/Pod_6/*.parquet"}]}, {"config_name": "PogoScript", "data_files": [{"split": "train", "path": "data/PogoScript/*.parquet"}]}, {"config_name": "Pony", "data_files": [{"split": "train", "path": "data/Pony/*.parquet"}]}, {"config_name": "Portugol", "data_files": [{"split": "train", "path": "data/Portugol/*.parquet"}]}, {"config_name": "PostCSS", "data_files": [{"split": "train", "path": "data/PostCSS/*.parquet"}]}, {"config_name": "PostScript", "data_files": [{"split": "train", "path": "data/PostScript/*.parquet"}]}, {"config_name": "PowerBuilder", "data_files": [{"split": "train", "path": "data/PowerBuilder/*.parquet"}]}, {"config_name": "PowerShell", "data_files": [{"split": "train", "path": "data/PowerShell/*.parquet"}]}, {"config_name": "Prisma", "data_files": [{"split": "train", "path": "data/Prisma/*.parquet"}]}, {"config_name": "Processing", "data_files": [{"split": "train", "path": "data/Processing/*.parquet"}]}, {"config_name": "Procfile", "data_files": [{"split": "train", "path": "data/Procfile/*.parquet"}]}, {"config_name": "Proguard", "data_files": [{"split": "train", "path": "data/Proguard/*.parquet"}]}, {"config_name": "Prolog", "data_files": [{"split": "train", "path": "data/Prolog/*.parquet"}]}, {"config_name": "Promela", "data_files": [{"split": "train", "path": "data/Promela/*.parquet"}]}, {"config_name": "Propeller_Spin", "data_files": [{"split": "train", "path": "data/Propeller_Spin/*.parquet"}]}, {"config_name": "Protocol_Buffer", "data_files": [{"split": "train", "path": "data/Protocol_Buffer/*.parquet"}]}, {"config_name": "Protocol_Buffer_Text_Format", "data_files": [{"split": "train", "path": "data/Protocol_Buffer_Text_Format/*.parquet"}]}, {"config_name": "Public_Key", "data_files": [{"split": "train", "path": "data/Public_Key/*.parquet"}]}, {"config_name": "Pug", "data_files": [{"split": "train", "path": "data/Pug/*.parquet"}]}, {"config_name": "Puppet", "data_files": [{"split": "train", "path": "data/Puppet/*.parquet"}]}, {"config_name": "PureBasic", "data_files": [{"split": "train", "path": "data/PureBasic/*.parquet"}]}, {"config_name": "PureScript", "data_files": [{"split": "train", "path": "data/PureScript/*.parquet"}]}, {"config_name": "Pure_Data", "data_files": [{"split": "train", "path": "data/Pure_Data/*.parquet"}]}, {"config_name": "Python", "data_files": [{"split": "train", "path": "data/Python/*.parquet"}]}, {"config_name": "Python_traceback", "data_files": [{"split": "train", "path": "data/Python_traceback/*.parquet"}]}, {"config_name": "Q-Sharp", "data_files": [{"split": "train", "path": "data/Q-Sharp/*.parquet"}]}, {"config_name": "QML", "data_files": [{"split": "train", "path": "data/QML/*.parquet"}]}, {"config_name": "QMake", "data_files": [{"split": "train", "path": "data/QMake/*.parquet"}]}, {"config_name": "Qt_Script", "data_files": [{"split": "train", "path": "data/Qt_Script/*.parquet"}]}, {"config_name": "Quake", "data_files": [{"split": "train", "path": "data/Quake/*.parquet"}]}, {"config_name": "R", "data_files": [{"split": "train", "path": "data/R/*.parquet"}]}, {"config_name": "RAML", "data_files": [{"split": "train", "path": "data/RAML/*.parquet"}]}, {"config_name": "RDoc", "data_files": [{"split": "train", "path": "data/RDoc/*.parquet"}]}, {"config_name": "REALbasic", "data_files": [{"split": "train", "path": "data/REALbasic/*.parquet"}]}, {"config_name": "REXX", "data_files": [{"split": "train", "path": "data/REXX/*.parquet"}]}, {"config_name": "RMarkdown", "data_files": [{"split": "train", "path": "data/RMarkdown/*.parquet"}]}, {"config_name": "RPC", "data_files": [{"split": "train", "path": "data/RPC/*.parquet"}]}, {"config_name": "RPGLE", "data_files": [{"split": "train", "path": "data/RPGLE/*.parquet"}]}, {"config_name": "RPM_Spec", "data_files": [{"split": "train", "path": "data/RPM_Spec/*.parquet"}]}, {"config_name": "RUNOFF", "data_files": [{"split": "train", "path": "data/RUNOFF/*.parquet"}]}, {"config_name": "Racket", "data_files": [{"split": "train", "path": "data/Racket/*.parquet"}]}, {"config_name": "Ragel", "data_files": [{"split": "train", "path": "data/Ragel/*.parquet"}]}, {"config_name": "Raku", "data_files": [{"split": "train", "path": "data/Raku/*.parquet"}]}, {"config_name": "Rascal", "data_files": [{"split": "train", "path": "data/Rascal/*.parquet"}]}, {"config_name": "Raw_token_data", "data_files": [{"split": "train", "path": "data/Raw_token_data/*.parquet"}]}, {"config_name": "ReScript", "data_files": [{"split": "train", "path": "data/ReScript/*.parquet"}]}, {"config_name": "Readline_Config", "data_files": [{"split": "train", "path": "data/Readline_Config/*.parquet"}]}, {"config_name": "Reason", "data_files": [{"split": "train", "path": "data/Reason/*.parquet"}]}, {"config_name": "ReasonLIGO", "data_files": [{"split": "train", "path": "data/ReasonLIGO/*.parquet"}]}, {"config_name": "Rebol", "data_files": [{"split": "train", "path": "data/Rebol/*.parquet"}]}, {"config_name": "Record_Jar", "data_files": [{"split": "train", "path": "data/Record_Jar/*.parquet"}]}, {"config_name": "Red", "data_files": [{"split": "train", "path": "data/Red/*.parquet"}]}, {"config_name": "Redcode", "data_files": [{"split": "train", "path": "data/Redcode/*.parquet"}]}, {"config_name": "Redirect_Rules", "data_files": [{"split": "train", "path": "data/Redirect_Rules/*.parquet"}]}, {"config_name": "Regular_Expression", "data_files": [{"split": "train", "path": "data/Regular_Expression/*.parquet"}]}, {"config_name": "Ren-Py", "data_files": [{"split": "train", "path": "data/Ren-Py/*.parquet"}]}, {"config_name": "RenderScript", "data_files": [{"split": "train", "path": "data/RenderScript/*.parquet"}]}, {"config_name": "Rich_Text_Format", "data_files": [{"split": "train", "path": "data/Rich_Text_Format/*.parquet"}]}, {"config_name": "Ring", "data_files": [{"split": "train", "path": "data/Ring/*.parquet"}]}, {"config_name": "Riot", "data_files": [{"split": "train", "path": "data/Riot/*.parquet"}]}, {"config_name": "RobotFramework", "data_files": [{"split": "train", "path": "data/RobotFramework/*.parquet"}]}, {"config_name": "Roff", "data_files": [{"split": "train", "path": "data/Roff/*.parquet"}]}, {"config_name": "Roff_Manpage", "data_files": [{"split": "train", "path": "data/Roff_Manpage/*.parquet"}]}, {"config_name": "Rouge", "data_files": [{"split": "train", "path": "data/Rouge/*.parquet"}]}, {"config_name": "RouterOS_Script", "data_files": [{"split": "train", "path": "data/RouterOS_Script/*.parquet"}]}, {"config_name": "Ruby", "data_files": [{"split": "train", "path": "data/Ruby/*.parquet"}]}, {"config_name": "Rust", "data_files": [{"split": "train", "path": "data/Rust/*.parquet"}]}, {"config_name": "SAS", "data_files": [{"split": "train", "path": "data/SAS/*.parquet"}]}, {"config_name": "SCSS", "data_files": [{"split": "train", "path": "data/SCSS/*.parquet"}]}, {"config_name": "SELinux_Policy", "data_files": [{"split": "train", "path": "data/SELinux_Policy/*.parquet"}]}, {"config_name": "SMT", "data_files": [{"split": "train", "path": "data/SMT/*.parquet"}]}, {"config_name": "SPARQL", "data_files": [{"split": "train", "path": "data/SPARQL/*.parquet"}]}, {"config_name": "SQF", "data_files": [{"split": "train", "path": "data/SQF/*.parquet"}]}, {"config_name": "SQL", "data_files": [{"split": "train", "path": "data/SQL/*.parquet"}]}, {"config_name": "SQLPL", "data_files": [{"split": "train", "path": "data/SQLPL/*.parquet"}]}, {"config_name": "SRecode_Template", "data_files": [{"split": "train", "path": "data/SRecode_Template/*.parquet"}]}, {"config_name": "SSH_Config", "data_files": [{"split": "train", "path": "data/SSH_Config/*.parquet"}]}, {"config_name": "STAR", "data_files": [{"split": "train", "path": "data/STAR/*.parquet"}]}, {"config_name": "STL", "data_files": [{"split": "train", "path": "data/STL/*.parquet"}]}, {"config_name": "STON", "data_files": [{"split": "train", "path": "data/STON/*.parquet"}]}, {"config_name": "SVG", "data_files": [{"split": "train", "path": "data/SVG/*.parquet"}]}, {"config_name": "SWIG", "data_files": [{"split": "train", "path": "data/SWIG/*.parquet"}]}, {"config_name": "Sage", "data_files": [{"split": "train", "path": "data/Sage/*.parquet"}]}, {"config_name": "SaltStack", "data_files": [{"split": "train", "path": "data/SaltStack/*.parquet"}]}, {"config_name": "Sass", "data_files": [{"split": "train", "path": "data/Sass/*.parquet"}]}, {"config_name": "Scala", "data_files": [{"split": "train", "path": "data/Scala/*.parquet"}]}, {"config_name": "Scaml", "data_files": [{"split": "train", "path": "data/Scaml/*.parquet"}]}, {"config_name": "Scheme", "data_files": [{"split": "train", "path": "data/Scheme/*.parquet"}]}, {"config_name": "Scilab", "data_files": [{"split": "train", "path": "data/Scilab/*.parquet"}]}, {"config_name": "Self", "data_files": [{"split": "train", "path": "data/Self/*.parquet"}]}, {"config_name": "ShaderLab", "data_files": [{"split": "train", "path": "data/ShaderLab/*.parquet"}]}, {"config_name": "Shell", "data_files": [{"split": "train", "path": "data/Shell/*.parquet"}]}, {"config_name": "ShellCheck_Config", "data_files": [{"split": "train", "path": "data/ShellCheck_Config/*.parquet"}]}, {"config_name": "ShellSession", "data_files": [{"split": "train", "path": "data/ShellSession/*.parquet"}]}, {"config_name": "Shen", "data_files": [{"split": "train", "path": "data/Shen/*.parquet"}]}, {"config_name": "Sieve", "data_files": [{"split": "train", "path": "data/Sieve/*.parquet"}]}, {"config_name": "Singularity", "data_files": [{"split": "train", "path": "data/Singularity/*.parquet"}]}, {"config_name": "Slash", "data_files": [{"split": "train", "path": "data/Slash/*.parquet"}]}, {"config_name": "Slice", "data_files": [{"split": "train", "path": "data/Slice/*.parquet"}]}, {"config_name": "Slim", "data_files": [{"split": "train", "path": "data/Slim/*.parquet"}]}, {"config_name": "SmPL", "data_files": [{"split": "train", "path": "data/SmPL/*.parquet"}]}, {"config_name": "Smali", "data_files": [{"split": "train", "path": "data/Smali/*.parquet"}]}, {"config_name": "Smalltalk", "data_files": [{"split": "train", "path": "data/Smalltalk/*.parquet"}]}, {"config_name": "Smarty", "data_files": [{"split": "train", "path": "data/Smarty/*.parquet"}]}, {"config_name": "Solidity", "data_files": [{"split": "train", "path": "data/Solidity/*.parquet"}]}, {"config_name": "Soong", "data_files": [{"split": "train", "path": "data/Soong/*.parquet"}]}, {"config_name": "SourcePawn", "data_files": [{"split": "train", "path": "data/SourcePawn/*.parquet"}]}, {"config_name": "Spline_Font_Database", "data_files": [{"split": "train", "path": "data/Spline_Font_Database/*.parquet"}]}, {"config_name": "Squirrel", "data_files": [{"split": "train", "path": "data/Squirrel/*.parquet"}]}, {"config_name": "Stan", "data_files": [{"split": "train", "path": "data/Stan/*.parquet"}]}, {"config_name": "Standard_ML", "data_files": [{"split": "train", "path": "data/Standard_ML/*.parquet"}]}, {"config_name": "Starlark", "data_files": [{"split": "train", "path": "data/Starlark/*.parquet"}]}, {"config_name": "Stata", "data_files": [{"split": "train", "path": "data/Stata/*.parquet"}]}, {"config_name": "StringTemplate", "data_files": [{"split": "train", "path": "data/StringTemplate/*.parquet"}]}, {"config_name": "Stylus", "data_files": [{"split": "train", "path": "data/Stylus/*.parquet"}]}, {"config_name": "SubRip_Text", "data_files": [{"split": "train", "path": "data/SubRip_Text/*.parquet"}]}, {"config_name": "SugarSS", "data_files": [{"split": "train", "path": "data/SugarSS/*.parquet"}]}, {"config_name": "SuperCollider", "data_files": [{"split": "train", "path": "data/SuperCollider/*.parquet"}]}, {"config_name": "Svelte", "data_files": [{"split": "train", "path": "data/Svelte/*.parquet"}]}, {"config_name": "Swift", "data_files": [{"split": "train", "path": "data/Swift/*.parquet"}]}, {"config_name": "SystemVerilog", "data_files": [{"split": "train", "path": "data/SystemVerilog/*.parquet"}]}, {"config_name": "TI_Program", "data_files": [{"split": "train", "path": "data/TI_Program/*.parquet"}]}, {"config_name": "TLA", "data_files": [{"split": "train", "path": "data/TLA/*.parquet"}]}, {"config_name": "TOML", "data_files": [{"split": "train", "path": "data/TOML/*.parquet"}]}, {"config_name": "TSQL", "data_files": [{"split": "train", "path": "data/TSQL/*.parquet"}]}, {"config_name": "TSV", "data_files": [{"split": "train", "path": "data/TSV/*.parquet"}]}, {"config_name": "TSX", "data_files": [{"split": "train", "path": "data/TSX/*.parquet"}]}, {"config_name": "TXL", "data_files": [{"split": "train", "path": "data/TXL/*.parquet"}]}, {"config_name": "Talon", "data_files": [{"split": "train", "path": "data/Talon/*.parquet"}]}, {"config_name": "Tcl", "data_files": [{"split": "train", "path": "data/Tcl/*.parquet"}]}, {"config_name": "Tcsh", "data_files": [{"split": "train", "path": "data/Tcsh/*.parquet"}]}, {"config_name": "TeX", "data_files": [{"split": "train", "path": "data/TeX/*.parquet"}]}, {"config_name": "Tea", "data_files": [{"split": "train", "path": "data/Tea/*.parquet"}]}, {"config_name": "Terra", "data_files": [{"split": "train", "path": "data/Terra/*.parquet"}]}, {"config_name": "Texinfo", "data_files": [{"split": "train", "path": "data/Texinfo/*.parquet"}]}, {"config_name": "Text", "data_files": [{"split": "train", "path": "data/Text/*.parquet"}]}, {"config_name": "TextMate_Properties", "data_files": [{"split": "train", "path": "data/TextMate_Properties/*.parquet"}]}, {"config_name": "Textile", "data_files": [{"split": "train", "path": "data/Textile/*.parquet"}]}, {"config_name": "Thrift", "data_files": [{"split": "train", "path": "data/Thrift/*.parquet"}]}, {"config_name": "Turing", "data_files": [{"split": "train", "path": "data/Turing/*.parquet"}]}, {"config_name": "Turtle", "data_files": [{"split": "train", "path": "data/Turtle/*.parquet"}]}, {"config_name": "Twig", "data_files": [{"split": "train", "path": "data/Twig/*.parquet"}]}, {"config_name": "TypeScript", "data_files": [{"split": "train", "path": "data/TypeScript/*.parquet"}]}, {"config_name": "Type_Language", "data_files": [{"split": "train", "path": "data/Type_Language/*.parquet"}]}, {"config_name": "Unified_Parallel_C", "data_files": [{"split": "train", "path": "data/Unified_Parallel_C/*.parquet"}]}, {"config_name": "Unity3D_Asset", "data_files": [{"split": "train", "path": "data/Unity3D_Asset/*.parquet"}]}, {"config_name": "Unix_Assembly", "data_files": [{"split": "train", "path": "data/Unix_Assembly/*.parquet"}]}, {"config_name": "Uno", "data_files": [{"split": "train", "path": "data/Uno/*.parquet"}]}, {"config_name": "UnrealScript", "data_files": [{"split": "train", "path": "data/UnrealScript/*.parquet"}]}, {"config_name": "UrWeb", "data_files": [{"split": "train", "path": "data/UrWeb/*.parquet"}]}, {"config_name": "V", "data_files": [{"split": "train", "path": "data/V/*.parquet"}]}, {"config_name": "VBA", "data_files": [{"split": "train", "path": "data/VBA/*.parquet"}]}, {"config_name": "VBScript", "data_files": [{"split": "train", "path": "data/VBScript/*.parquet"}]}, {"config_name": "VCL", "data_files": [{"split": "train", "path": "data/VCL/*.parquet"}]}, {"config_name": "VHDL", "data_files": [{"split": "train", "path": "data/VHDL/*.parquet"}]}, {"config_name": "Vala", "data_files": [{"split": "train", "path": "data/Vala/*.parquet"}]}, {"config_name": "Valve_Data_Format", "data_files": [{"split": "train", "path": "data/Valve_Data_Format/*.parquet"}]}, {"config_name": "Velocity_Template_Language", "data_files": [{"split": "train", "path": "data/Velocity_Template_Language/*.parquet"}]}, {"config_name": "Verilog", "data_files": [{"split": "train", "path": "data/Verilog/*.parquet"}]}, {"config_name": "Vim_Help_File", "data_files": [{"split": "train", "path": "data/Vim_Help_File/*.parquet"}]}, {"config_name": "Vim_Script", "data_files": [{"split": "train", "path": "data/Vim_Script/*.parquet"}]}, {"config_name": "Vim_Snippet", "data_files": [{"split": "train", "path": "data/Vim_Snippet/*.parquet"}]}, {"config_name": "Visual_Basic_.NET", "data_files": [{"split": "train", "path": "data/Visual_Basic_.NET/*.parquet"}]}, {"config_name": "Volt", "data_files": [{"split": "train", "path": "data/Volt/*.parquet"}]}, {"config_name": "Vue", "data_files": [{"split": "train", "path": "data/Vue/*.parquet"}]}, {"config_name": "Vyper", "data_files": [{"split": "train", "path": "data/Vyper/*.parquet"}]}, {"config_name": "Wavefront_Material", "data_files": [{"split": "train", "path": "data/Wavefront_Material/*.parquet"}]}, {"config_name": "Wavefront_Object", "data_files": [{"split": "train", "path": "data/Wavefront_Object/*.parquet"}]}, {"config_name": "WebAssembly", "data_files": [{"split": "train", "path": "data/WebAssembly/*.parquet"}]}, {"config_name": "WebIDL", "data_files": [{"split": "train", "path": "data/WebIDL/*.parquet"}]}, {"config_name": "WebVTT", "data_files": [{"split": "train", "path": "data/WebVTT/*.parquet"}]}, {"config_name": "Web_Ontology_Language", "data_files": [{"split": "train", "path": "data/Web_Ontology_Language/*.parquet"}]}, {"config_name": "Wget_Config", "data_files": [{"split": "train", "path": "data/Wget_Config/*.parquet"}]}, {"config_name": "Whiley", "data_files": [{"split": "train", "path": "data/Whiley/*.parquet"}]}, {"config_name": "Wikitext", "data_files": [{"split": "train", "path": "data/Wikitext/*.parquet"}]}, {"config_name": "Win32_Message_File", "data_files": [{"split": "train", "path": "data/Win32_Message_File/*.parquet"}]}, {"config_name": "Windows_Registry_Entries", "data_files": [{"split": "train", "path": "data/Windows_Registry_Entries/*.parquet"}]}, {"config_name": "Witcher_Script", "data_files": [{"split": "train", "path": "data/Witcher_Script/*.parquet"}]}, {"config_name": "Wollok", "data_files": [{"split": "train", "path": "data/Wollok/*.parquet"}]}, {"config_name": "World_of_Warcraft_Addon_Data", "data_files": [{"split": "train", "path": "data/World_of_Warcraft_Addon_Data/*.parquet"}]}, {"config_name": "Wren", "data_files": [{"split": "train", "path": "data/Wren/*.parquet"}]}, {"config_name": "X10", "data_files": [{"split": "train", "path": "data/X10/*.parquet"}]}, {"config_name": "XC", "data_files": [{"split": "train", "path": "data/XC/*.parquet"}]}, {"config_name": "XCompose", "data_files": [{"split": "train", "path": "data/XCompose/*.parquet"}]}, {"config_name": "XML", "data_files": [{"split": "train", "path": "data/XML/*.parquet"}]}, {"config_name": "XML_Property_List", "data_files": [{"split": "train", "path": "data/XML_Property_List/*.parquet"}]}, {"config_name": "XPages", "data_files": [{"split": "train", "path": "data/XPages/*.parquet"}]}, {"config_name": "XProc", "data_files": [{"split": "train", "path": "data/XProc/*.parquet"}]}, {"config_name": "XQuery", "data_files": [{"split": "train", "path": "data/XQuery/*.parquet"}]}, {"config_name": "XS", "data_files": [{"split": "train", "path": "data/XS/*.parquet"}]}, {"config_name": "XSLT", "data_files": [{"split": "train", "path": "data/XSLT/*.parquet"}]}, {"config_name": "X_BitMap", "data_files": [{"split": "train", "path": "data/X_BitMap/*.parquet"}]}, {"config_name": "X_Font_Directory_Index", "data_files": [{"split": "train", "path": "data/X_Font_Directory_Index/*.parquet"}]}, {"config_name": "X_PixMap", "data_files": [{"split": "train", "path": "data/X_PixMap/*.parquet"}]}, {"config_name": "Xojo", "data_files": [{"split": "train", "path": "data/Xojo/*.parquet"}]}, {"config_name": "Xonsh", "data_files": [{"split": "train", "path": "data/Xonsh/*.parquet"}]}, {"config_name": "Xtend", "data_files": [{"split": "train", "path": "data/Xtend/*.parquet"}]}, {"config_name": "YAML", "data_files": [{"split": "train", "path": "data/YAML/*.parquet"}]}, {"config_name": "YANG", "data_files": [{"split": "train", "path": "data/YANG/*.parquet"}]}, {"config_name": "YARA", "data_files": [{"split": "train", "path": "data/YARA/*.parquet"}]}, {"config_name": "YASnippet", "data_files": [{"split": "train", "path": "data/YASnippet/*.parquet"}]}, {"config_name": "Yacc", "data_files": [{"split": "train", "path": "data/Yacc/*.parquet"}]}, {"config_name": "Yul", "data_files": [{"split": "train", "path": "data/Yul/*.parquet"}]}, {"config_name": "ZAP", "data_files": [{"split": "train", "path": "data/ZAP/*.parquet"}]}, {"config_name": "ZIL", "data_files": [{"split": "train", "path": "data/ZIL/*.parquet"}]}, {"config_name": "Zeek", "data_files": [{"split": "train", "path": "data/Zeek/*.parquet"}]}, {"config_name": "ZenScript", "data_files": [{"split": "train", "path": "data/ZenScript/*.parquet"}]}, {"config_name": "Zephir", "data_files": [{"split": "train", "path": "data/Zephir/*.parquet"}]}, {"config_name": "Zig", "data_files": [{"split": "train", "path": "data/Zig/*.parquet"}]}, {"config_name": "Zimpl", "data_files": [{"split": "train", "path": "data/Zimpl/*.parquet"}]}, {"config_name": "cURL_Config", "data_files": [{"split": "train", "path": "data/cURL_Config/*.parquet"}]}, {"config_name": "desktop", "data_files": [{"split": "train", "path": "data/desktop/*.parquet"}]}, {"config_name": "dircolors", "data_files": [{"split": "train", "path": "data/dircolors/*.parquet"}]}, {"config_name": "eC", "data_files": [{"split": "train", "path": "data/eC/*.parquet"}]}, {"config_name": "edn", "data_files": [{"split": "train", "path": "data/edn/*.parquet"}]}, {"config_name": "fish", "data_files": [{"split": "train", "path": "data/fish/*.parquet"}]}, {"config_name": "hoon", "data_files": [{"split": "train", "path": "data/hoon/*.parquet"}]}, {"config_name": "jq", "data_files": [{"split": "train", "path": "data/jq/*.parquet"}]}, {"config_name": "kvlang", "data_files": [{"split": "train", "path": "data/kvlang/*.parquet"}]}, {"config_name": "mIRC_Script", "data_files": [{"split": "train", "path": "data/mIRC_Script/*.parquet"}]}, {"config_name": "mcfunction", "data_files": [{"split": "train", "path": "data/mcfunction/*.parquet"}]}, {"config_name": "mupad", "data_files": [{"split": "train", "path": "data/mupad/*.parquet"}]}, {"config_name": "nanorc", "data_files": [{"split": "train", "path": "data/nanorc/*.parquet"}]}, {"config_name": "nesC", "data_files": [{"split": "train", "path": "data/nesC/*.parquet"}]}, {"config_name": "ooc", "data_files": [{"split": "train", "path": "data/ooc/*.parquet"}]}, {"config_name": "q", "data_files": [{"split": "train", "path": "data/q/*.parquet"}]}, {"config_name": "reStructuredText", "data_files": [{"split": "train", "path": "data/reStructuredText/*.parquet"}]}, {"config_name": "robots.txt", "data_files": [{"split": "train", "path": "data/robots.txt/*.parquet"}]}, {"config_name": "sed", "data_files": [{"split": "train", "path": "data/sed/*.parquet"}]}, {"config_name": "wdl", "data_files": [{"split": "train", "path": "data/wdl/*.parquet"}]}, {"config_name": "wisp", "data_files": [{"split": "train", "path": "data/wisp/*.parquet"}]}, {"config_name": "xBase", "data_files": [{"split": "train", "path": "data/xBase/*.parquet"}]}]}

7408bfbcfd48e5833d62fd3dba48afd20d109473

The Stack v2 The dataset consists of 4 versions: bigcode/the-stack-v2: the full "The Stack v2" dataset <-- you are here bigcode/the-stack-v2-dedup: based on the bigcode/the-stack-v2 but further near-deduplicated bigcode/the-stack-v2-train-full-ids: based on the bigcode/the-stack-v2-dedup dataset but further filtered with heuristics and spanning 600+ programming languages. The data is grouped into repositories. bigcode/the-stack-v2-train-smol-ids: based on the… See the full description on the dataset page: https://huggingface.co./datasets/bigcode/the-stack-v2.

662005a74360f44332b11379

mlabonne/orpo-dpo-mix-40k

mlabonne

{"language": ["en"], "license": "apache-2.0", "task_categories": ["text-generation"], "pretty_name": "ORPO-DPO-mix-40k", "dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "chosen", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "rejected", "list": [{"name": "content", "dtype": "string"}, {"name": "role", "dtype": "string"}]}, {"name": "prompt", "dtype": "string"}, {"name": "question", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 238639013, "num_examples": 44245}], "download_size": 126503374, "dataset_size": 238639013}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "tags": ["dpo", "rlhf", "preference", "orpo"]}

0f72511202b8f093e9be60e1683d84b046062e36

ORPO-DPO-mix-40k v1.2 This dataset is designed for ORPO or DPO training. See Fine-tune Llama 3 with ORPO for more information about how to use it. It is a combination of the following high-quality DPO datasets: argilla/Capybara-Preferences: highly scored chosen answers >=5 (7,424 samples) argilla/distilabel-intel-orca-dpo-pairs: highly scored chosen answers >=9, not in GSM8K (2,299 samples) argilla/ultrafeedback-binarized-preferences-cleaned: highly scored chosen answers >=5… See the full description on the dataset page: https://huggingface.co./datasets/mlabonne/orpo-dpo-mix-40k.

66347aa61500e67c72dedeb0

allenai/WildChat-1M

allenai

{"license": "odc-by", "size_categories": ["1M<n<10M"], "task_categories": ["text-generation", "question-answering", "text2text-generation"], "pretty_name": "WildChat-1M", "dataset_info": {"features": [{"name": "conversation_hash", "dtype": "string"}, {"name": "model", "dtype": "string"}, {"name": "timestamp", "dtype": "timestamp[us, tz=UTC]"}, {"name": "conversation", "list": [{"name": "content", "dtype": "string"}, {"name": "country", "dtype": "string"}, {"name": "hashed_ip", "dtype": "string"}, {"name": "header", "struct": [{"name": "accept-language", "dtype": "string"}, {"name": "user-agent", "dtype": "string"}]}, {"name": "language", "dtype": "string"}, {"name": "redacted", "dtype": "bool"}, {"name": "role", "dtype": "string"}, {"name": "state", "dtype": "string"}, {"name": "timestamp", "dtype": "timestamp[us, tz=UTC]"}, {"name": "toxic", "dtype": "bool"}, {"name": "turn_identifier", "dtype": "int64"}]}, {"name": "turn", "dtype": "int64"}, {"name": "language", "dtype": "string"}, {"name": "openai_moderation", "list": [{"name": "categories", "struct": [{"name": "harassment", "dtype": "bool"}, {"name": "harassment/threatening", "dtype": "bool"}, {"name": "harassment_threatening", "dtype": "bool"}, {"name": "hate", "dtype": "bool"}, {"name": "hate/threatening", "dtype": "bool"}, {"name": "hate_threatening", "dtype": "bool"}, {"name": "self-harm", "dtype": "bool"}, {"name": "self-harm/instructions", "dtype": "bool"}, {"name": "self-harm/intent", "dtype": "bool"}, {"name": "self_harm", "dtype": "bool"}, {"name": "self_harm_instructions", "dtype": "bool"}, {"name": "self_harm_intent", "dtype": "bool"}, {"name": "sexual", "dtype": "bool"}, {"name": "sexual/minors", "dtype": "bool"}, {"name": "sexual_minors", "dtype": "bool"}, {"name": "violence", "dtype": "bool"}, {"name": "violence/graphic", "dtype": "bool"}, {"name": "violence_graphic", "dtype": "bool"}]}, {"name": "category_scores", "struct": [{"name": "harassment", "dtype": "float64"}, {"name": "harassment/threatening", "dtype": "float64"}, {"name": "harassment_threatening", "dtype": "float64"}, {"name": "hate", "dtype": "float64"}, {"name": "hate/threatening", "dtype": "float64"}, {"name": "hate_threatening", "dtype": "float64"}, {"name": "self-harm", "dtype": "float64"}, {"name": "self-harm/instructions", "dtype": "float64"}, {"name": "self-harm/intent", "dtype": "float64"}, {"name": "self_harm", "dtype": "float64"}, {"name": "self_harm_instructions", "dtype": "float64"}, {"name": "self_harm_intent", "dtype": "float64"}, {"name": "sexual", "dtype": "float64"}, {"name": "sexual/minors", "dtype": "float64"}, {"name": "sexual_minors", "dtype": "float64"}, {"name": "violence", "dtype": "float64"}, {"name": "violence/graphic", "dtype": "float64"}, {"name": "violence_graphic", "dtype": "float64"}]}, {"name": "flagged", "dtype": "bool"}]}, {"name": "detoxify_moderation", "list": [{"name": "identity_attack", "dtype": "float64"}, {"name": "insult", "dtype": "float64"}, {"name": "obscene", "dtype": "float64"}, {"name": "severe_toxicity", "dtype": "float64"}, {"name": "sexual_explicit", "dtype": "float64"}, {"name": "threat", "dtype": "float64"}, {"name": "toxicity", "dtype": "float64"}]}, {"name": "toxic", "dtype": "bool"}, {"name": "redacted", "dtype": "bool"}, {"name": "state", "dtype": "string"}, {"name": "country", "dtype": "string"}, {"name": "hashed_ip", "dtype": "string"}, {"name": "header", "struct": [{"name": "accept-language", "dtype": "string"}, {"name": "user-agent", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 6844366367.030628, "num_examples": 837989}], "download_size": 3360836020, "dataset_size": 6844366367.030628}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}], "tags": ["instruction-finetuning"]}

7d6490e462285cf85d91eabea0f9a954fbddcd1f

Dataset Card for WildChat Dataset Description Paper: https://arxiv.org/abs/2405.01470 Interactive Search Tool: https://wildvisualizer.com (paper) License: ODC-BY Language(s) (NLP): multi-lingual Point of Contact: Yuntian Deng Dataset Summary WildChat is a collection of 1 million conversations between human users and ChatGPT, alongside demographic data, including state, country, hashed IP addresses, and request headers. We collected WildChat… See the full description on the dataset page: https://huggingface.co./datasets/allenai/WildChat-1M.

66a26e6812bd8c8ee66f5676

lmms-lab/LLaVA-OneVision-Data

lmms-lab

{"language": ["en", "zh"], "license": "apache-2.0", "pretty_name": "llava-onevision-data", "dataset_info": [{"config_name": "CLEVR-Math(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 791346970, "num_examples": 5280}], "download_size": 441208499, "dataset_size": 791346970}, {"config_name": "FigureQA(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 463326576.625, "num_examples": 17587}], "download_size": 258197193, "dataset_size": 463326576.625}, {"config_name": "GEOS(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1503641, "num_examples": 498}], "download_size": 684471, "dataset_size": 1503641}, {"config_name": "GeoQA+(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 53579705.75, "num_examples": 17162}], "download_size": 33480538, "dataset_size": 53579705.75}, {"config_name": "Geometry3K(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 218085473.5, "num_examples": 9724}], "download_size": 125914780, "dataset_size": 218085473.5}, {"config_name": "IconQA(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 208430568.375, "num_examples": 22589}], "download_size": 117222488, "dataset_size": 208430568.375}, {"config_name": "MapQA(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 384120915.875, "num_examples": 5225}], "download_size": 215768443, "dataset_size": 384120915.875}, {"config_name": "PMC-VQA(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 571444866.5, "num_examples": 35948}], "download_size": 326541003, "dataset_size": 571444866.5}, {"config_name": "Super-CLEVR(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2795082410.75, "num_examples": 8642}], "download_size": 1580301917, "dataset_size": 2795082410.75}, {"config_name": "TabMWP(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 307726997.5, "num_examples": 22452}], "download_size": 173938487, "dataset_size": 307726997.5}, {"config_name": "UniGeo(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 38296693.375, "num_examples": 11949}], "download_size": 24170743, "dataset_size": 38296693.375}, {"config_name": "VisualWebInstruct(filtered)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 36317112275, "num_examples": 263584}], "download_size": 36239916454, "dataset_size": 36317112275}, {"config_name": "VizWiz(MathV360K)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1170333936.5, "num_examples": 6604}], "download_size": 660752297, "dataset_size": 1170333936.5}, {"config_name": "ai2d(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 438572782.375, "num_examples": 2429}], "download_size": 437348514, "dataset_size": 438572782.375}, {"config_name": "ai2d(gpt4v)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 866076731, "num_examples": 4864}], "download_size": 860306578, "dataset_size": 866076731}, {"config_name": "ai2d(internvl)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1832787249.625, "num_examples": 12403}], "download_size": 527493895, "dataset_size": 1832787249.625}, {"config_name": "allava_instruct_laion4v", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5981767621.25, "num_examples": 49990}], "download_size": 5873046236, "dataset_size": 5981767621.25}, {"config_name": "allava_instruct_vflan4v", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2680974558.25, "num_examples": 19990}], "download_size": 2670088751, "dataset_size": 2680974558.25}, {"config_name": "aokvqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6896420844.25, "num_examples": 16534}], "download_size": 6894236970, "dataset_size": 6896420844.25}, {"config_name": "chart2text(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1145458729.5, "num_examples": 26956}], "download_size": 1123681047, "dataset_size": 1145458729.5}, {"config_name": "chartqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 815335215.5, "num_examples": 18260}], "download_size": 803084541, "dataset_size": 815335215.5}, {"config_name": "chrome_writting", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 44422597.875, "num_examples": 8825}], "download_size": 39611257, "dataset_size": 44422597.875}, {"config_name": "clevr(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 10528974543.625, "num_examples": 69995}], "download_size": 10460536445, "dataset_size": 10528974543.625}, {"config_name": "diagram_image_to_text(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18858266, "num_examples": 295}], "download_size": 18659115, "dataset_size": 18858266}, {"config_name": "dvqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4487270615.625, "num_examples": 199995}], "download_size": 4277056467, "dataset_size": 4487270615.625}, {"config_name": "figureqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2351194509.625, "num_examples": 99995}], "download_size": 2222640639, "dataset_size": 2351194509.625}, {"config_name": "geo170k(align)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 204236256.75, "num_examples": 60242}], "download_size": 58185410, "dataset_size": 204236256.75}, {"config_name": "geo170k(qa)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 266040519.125, "num_examples": 67823}], "download_size": 160022430, "dataset_size": 266040519.125}, {"config_name": "geo3k", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 42634333.625, "num_examples": 2091}], "download_size": 41097851, "dataset_size": 42634333.625}, {"config_name": "geomverse(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2263893609.75, "num_examples": 9298}], "download_size": 2211726352, "dataset_size": 2263893609.75}, {"config_name": "hateful_memes(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3057252325.125, "num_examples": 8495}], "download_size": 3055839880, "dataset_size": 3057252325.125}, {"config_name": "hitab(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 161706881.125, "num_examples": 2495}], "download_size": 157871287, "dataset_size": 161706881.125}, {"config_name": "hme100k", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 273229915.5, "num_examples": 74492}], "download_size": 241005430, "dataset_size": 273229915.5}, {"config_name": "iam(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1131633206.75, "num_examples": 5658}], "download_size": 1128371221, "dataset_size": 1131633206.75}, {"config_name": "iconqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 331284932.25, "num_examples": 27302}], "download_size": 327005220, "dataset_size": 331284932.25}, {"config_name": "iiit5k", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 21821437.25, "num_examples": 1990}], "download_size": 21623116, "dataset_size": 21821437.25}, {"config_name": "image_textualization(filtered)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5218283253.375, "num_examples": 99573}], "download_size": 5164176816, "dataset_size": 5218283253.375}, {"config_name": "infographic(gpt4v)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 713657496.25, "num_examples": 1982}], "download_size": 656276080, "dataset_size": 713657496.25}, {"config_name": "infographic_vqa", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1528953078.75, "num_examples": 4394}], "download_size": 1419340319, "dataset_size": 1528953078.75}, {"config_name": "infographic_vqa_llava_format", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1765315696.875, "num_examples": 2113}], "download_size": 1764548536, "dataset_size": 1765315696.875}, {"config_name": "intergps(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24973395.625, "num_examples": 1275}], "download_size": 24736545, "dataset_size": 24973395.625}, {"config_name": "k12_printing", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1205153118.5, "num_examples": 256636}], "download_size": 1108572712, "dataset_size": 1205153118.5}, {"config_name": "llavar_gpt4_20k", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 633833350.25, "num_examples": 19790}], "download_size": 625365542, "dataset_size": 633833350.25}, {"config_name": "lrv_chart", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 99338686, "num_examples": 1776}], "download_size": 97979446, "dataset_size": 99338686}, {"config_name": "lrv_normal(filtered)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 422589381.75, "num_examples": 10490}], "download_size": 406958773, "dataset_size": 422589381.75}, {"config_name": "magpie_pro(l3_80b_mt)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "null"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1657129141, "num_examples": 299988}], "download_size": 885893066, "dataset_size": 1657129141}, {"config_name": "magpie_pro(l3_80b_st)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "null"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1033666690, "num_examples": 299990}], "download_size": 562771564, "dataset_size": 1033666690}, {"config_name": "magpie_pro(qwen2_72b_st)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "null"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 703489344, "num_examples": 299982}], "download_size": 361433408, "dataset_size": 703489344}, {"config_name": "mapqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 3355751195.5, "num_examples": 37412}], "download_size": 3305639218, "dataset_size": 3355751195.5}, {"config_name": "mathqa", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "null"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 18318538, "num_examples": 29827}], "download_size": 7857130, "dataset_size": 18318538}, {"config_name": "mavis_math_metagen", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2304025372.5, "num_examples": 87348}], "download_size": 322776224, "dataset_size": 2304025372.5}, {"config_name": "mavis_math_rule_geo", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 14313211512.25, "num_examples": 99990}], "download_size": 5841283073, "dataset_size": 14313211512.25}, {"config_name": "multihiertt(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 300319803.25, "num_examples": 7614}], "download_size": 295638314, "dataset_size": 300319803.25}, {"config_name": "orand_car_a", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 23602442.125, "num_examples": 1999}], "download_size": 23333412, "dataset_size": 23602442.125}, {"config_name": "raven(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1706160514.625, "num_examples": 41995}], "download_size": 1693150088, "dataset_size": 1706160514.625}, {"config_name": "rendered_text(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11082594894.625, "num_examples": 9995}], "download_size": 11081962044, "dataset_size": 11082594894.625}, {"config_name": "robut_sqa(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 685580779.375, "num_examples": 8509}], "download_size": 678666263, "dataset_size": 685580779.375}, {"config_name": "robut_wikisql(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6200499653, "num_examples": 74984}], "download_size": 6168399217, "dataset_size": 6200499653}, {"config_name": "robut_wtq(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4091776188.875, "num_examples": 38241}], "download_size": 4062777449, "dataset_size": 4091776188.875}, {"config_name": "scienceqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 286843125.625, "num_examples": 4971}], "download_size": 282896809, "dataset_size": 286843125.625}, {"config_name": "scienceqa(nona_context)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2111029055, "num_examples": 19208}], "download_size": 2053942726, "dataset_size": 2111029055}, {"config_name": "screen2words(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7977502095.375, "num_examples": 15725}], "download_size": 7962327904, "dataset_size": 7977502095.375}, {"config_name": "sharegpt4o", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6968025789.5, "num_examples": 57284}], "download_size": 6772195470, "dataset_size": 6968025789.5}, {"config_name": "sharegpt4v(coco)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2620153362.875, "num_examples": 50017}], "download_size": 2595583499, "dataset_size": 2620153362.875}, {"config_name": "sharegpt4v(knowledge)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 372100773.5, "num_examples": 1988}], "download_size": 369799318, "dataset_size": 372100773.5}, {"config_name": "sharegpt4v(llava)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 781795487.25, "num_examples": 29990}], "download_size": 400344187, "dataset_size": 781795487.25}, {"config_name": "sharegpt4v(sam)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4437405218.25, "num_examples": 8990}], "download_size": 4428597081, "dataset_size": 4437405218.25}, {"config_name": "sroie", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 117810195, "num_examples": 33616}], "download_size": 103647636, "dataset_size": 117810195}, {"config_name": "st_vqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 5771194098.75, "num_examples": 17242}], "download_size": 5768888141, "dataset_size": 5771194098.75}, {"config_name": "tabmwp(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 311192518.375, "num_examples": 22717}], "download_size": 306092255, "dataset_size": 311192518.375}, {"config_name": "tallyqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 35998988065.625, "num_examples": 98675}], "download_size": 35982430394, "dataset_size": 35998988065.625}, {"config_name": "textcaps", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2222268476.25, "num_examples": 21942}], "download_size": 2217838132, "dataset_size": 2222268476.25}, {"config_name": "textocr(gpt4v)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2581655353, "num_examples": 25104}], "download_size": 2574418106, "dataset_size": 2581655353}, {"config_name": "tqa(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 331203026.25, "num_examples": 27302}], "download_size": 326999466, "dataset_size": 331203026.25}, {"config_name": "ureader_cap", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 9269857109.75, "num_examples": 91434}], "download_size": 2292099971, "dataset_size": 9269857109.75}, {"config_name": "ureader_ie", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11871457209.75, "num_examples": 17322}], "download_size": 1999083115, "dataset_size": 11871457209.75}, {"config_name": "vision_flan(filtered)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 24847242604.5, "num_examples": 186060}], "download_size": 24750561877, "dataset_size": 24847242604.5}, {"config_name": "vistext(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 550187184.5, "num_examples": 9964}], "download_size": 452795103, "dataset_size": 550187184.5}, {"config_name": "visual7w(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4451436523.875, "num_examples": 14361}], "download_size": 4441971985, "dataset_size": 4451436523.875}, {"config_name": "visualmrc(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 2938154124.25, "num_examples": 3022}], "download_size": 2909296079, "dataset_size": 2938154124.25}, {"config_name": "vqarad(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 95533417, "num_examples": 308}], "download_size": 95410398, "dataset_size": 95533417}, {"config_name": "vsr(cauldron,llava_format)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 891981646, "num_examples": 2152}], "download_size": 891572866, "dataset_size": 891981646}, {"config_name": "websight(cauldron)", "features": [{"name": "id", "dtype": "string"}, {"name": "image", "dtype": "image"}, {"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "data_source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 11209715828.625, "num_examples": 9995}], "download_size": 11144460985, "dataset_size": 11209715828.625}], "configs": [{"config_name": "CLEVR-Math(MathV360K)", "data_files": [{"split": "train", "path": "CLEVR-Math(MathV360K)/train-*"}]}, {"config_name": "FigureQA(MathV360K)", "data_files": [{"split": "train", "path": "FigureQA(MathV360K)/train-*"}]}, {"config_name": "GEOS(MathV360K)", "data_files": [{"split": "train", "path": "GEOS(MathV360K)/train-*"}]}, {"config_name": "GeoQA+(MathV360K)", "data_files": [{"split": "train", "path": "GeoQA+(MathV360K)/train-*"}]}, {"config_name": "Geometry3K(MathV360K)", "data_files": [{"split": "train", "path": "Geometry3K(MathV360K)/train-*"}]}, {"config_name": "IconQA(MathV360K)", "data_files": [{"split": "train", "path": "IconQA(MathV360K)/train-*"}]}, {"config_name": "MapQA(MathV360K)", "data_files": [{"split": "train", "path": "MapQA(MathV360K)/train-*"}]}, {"config_name": "PMC-VQA(MathV360K)", "data_files": [{"split": "train", "path": "PMC-VQA(MathV360K)/train-*"}]}, {"config_name": "Super-CLEVR(MathV360K)", "data_files": [{"split": "train", "path": "Super-CLEVR(MathV360K)/train-*"}]}, {"config_name": "TabMWP(MathV360K)", "data_files": [{"split": "train", "path": "TabMWP(MathV360K)/train-*"}]}, {"config_name": "UniGeo(MathV360K)", "data_files": [{"split": "train", "path": "UniGeo(MathV360K)/train-*"}]}, {"config_name": "VisualWebInstruct(filtered)", "data_files": [{"split": "train", "path": "VisualWebInstruct(filtered)/train-*"}]}, {"config_name": "VizWiz(MathV360K)", "data_files": [{"split": "train", "path": "VizWiz(MathV360K)/train-*"}]}, {"config_name": "ai2d(cauldron,llava_format)", "data_files": [{"split": "train", "path": "ai2d(cauldron,llava_format)/train-*"}]}, {"config_name": "ai2d(gpt4v)", "data_files": [{"split": "train", "path": "ai2d(gpt4v)/train-*"}]}, {"config_name": "ai2d(internvl)", "data_files": [{"split": "train", "path": "ai2d(internvl)/train-*"}]}, {"config_name": "allava_instruct_laion4v", "data_files": [{"split": "train", "path": "allava_instruct_laion4v/train-*"}]}, {"config_name": "allava_instruct_vflan4v", "data_files": [{"split": "train", "path": "allava_instruct_vflan4v/train-*"}]}, {"config_name": "aokvqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "aokvqa(cauldron,llava_format)/train-*"}]}, {"config_name": "chart2text(cauldron)", "data_files": [{"split": "train", "path": "chart2text(cauldron)/train-*"}]}, {"config_name": "chartqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "chartqa(cauldron,llava_format)/train-*"}]}, {"config_name": "chrome_writting", "data_files": [{"split": "train", "path": "chrome_writting/train-*"}]}, {"config_name": "clevr(cauldron,llava_format)", "data_files": [{"split": "train", "path": "clevr(cauldron,llava_format)/train-*"}]}, {"config_name": "diagram_image_to_text(cauldron)", "data_files": [{"split": "train", "path": "diagram_image_to_text(cauldron)/train-*"}]}, {"config_name": "dvqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "dvqa(cauldron,llava_format)/train-*"}]}, {"config_name": "figureqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "figureqa(cauldron,llava_format)/train-*"}]}, {"config_name": "geo170k(align)", "data_files": [{"split": "train", "path": "geo170k(align)/train-*"}]}, {"config_name": "geo170k(qa)", "data_files": [{"split": "train", "path": "geo170k(qa)/train-*"}]}, {"config_name": "geo3k", "data_files": [{"split": "train", "path": "geo3k/train-*"}]}, {"config_name": "geomverse(cauldron)", "data_files": [{"split": "train", "path": "geomverse(cauldron)/train-*"}]}, {"config_name": "hateful_memes(cauldron,llava_format)", "data_files": [{"split": "train", "path": "hateful_memes(cauldron,llava_format)/train-*"}]}, {"config_name": "hitab(cauldron,llava_format)", "data_files": [{"split": "train", "path": "hitab(cauldron,llava_format)/train-*"}]}, {"config_name": "hme100k", "data_files": [{"split": "train", "path": "hme100k/train-*"}]}, {"config_name": "iam(cauldron)", "data_files": [{"split": "train", "path": "iam(cauldron)/train-*"}]}, {"config_name": "iconqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "iconqa(cauldron,llava_format)/train-*"}]}, {"config_name": "iiit5k", "data_files": [{"split": "train", "path": "iiit5k/train-*"}]}, {"config_name": "image_textualization(filtered)", "data_files": [{"split": "train", "path": "image_textualization(filtered)/train-*"}]}, {"config_name": "infographic(gpt4v)", "data_files": [{"split": "train", "path": "infographic(gpt4v)/train-*"}]}, {"config_name": "infographic_vqa", "data_files": [{"split": "train", "path": "infographic_vqa/train-*"}]}, {"config_name": "infographic_vqa_llava_format", "data_files": [{"split": "train", "path": "infographic_vqa_llava_format/train-*"}]}, {"config_name": "intergps(cauldron,llava_format)", "data_files": [{"split": "train", "path": "intergps(cauldron,llava_format)/train-*"}]}, {"config_name": "k12_printing", "data_files": [{"split": "train", "path": "k12_printing/train-*"}]}, {"config_name": "llavar_gpt4_20k", "data_files": [{"split": "train", "path": "llavar_gpt4_20k/train-*"}]}, {"config_name": "lrv_chart", "data_files": [{"split": "train", "path": "lrv_chart/train-*"}]}, {"config_name": "lrv_normal(filtered)", "data_files": [{"split": "train", "path": "lrv_normal(filtered)/train-*"}]}, {"config_name": "magpie_pro(l3_80b_mt)", "data_files": [{"split": "train", "path": "magpie_pro(l3_80b_mt)/train-*"}]}, {"config_name": "magpie_pro(l3_80b_st)", "data_files": [{"split": "train", "path": "magpie_pro(l3_80b_st)/train-*"}]}, {"config_name": "magpie_pro(qwen2_72b_st)", "data_files": [{"split": "train", "path": "magpie_pro(qwen2_72b_st)/train-*"}]}, {"config_name": "mapqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "mapqa(cauldron,llava_format)/train-*"}]}, {"config_name": "mathqa", "data_files": [{"split": "train", "path": "mathqa/train-*"}]}, {"config_name": "mavis_math_metagen", "data_files": [{"split": "train", "path": "mavis_math_metagen/train-*"}]}, {"config_name": "mavis_math_rule_geo", "data_files": [{"split": "train", "path": "mavis_math_rule_geo/train-*"}]}, {"config_name": "multihiertt(cauldron)", "data_files": [{"split": "train", "path": "multihiertt(cauldron)/train-*"}]}, {"config_name": "orand_car_a", "data_files": [{"split": "train", "path": "orand_car_a/train-*"}]}, {"config_name": "raven(cauldron)", "data_files": [{"split": "train", "path": "raven(cauldron)/train-*"}]}, {"config_name": "rendered_text(cauldron)", "data_files": [{"split": "train", "path": "rendered_text(cauldron)/train-*"}]}, {"config_name": "robut_sqa(cauldron)", "data_files": [{"split": "train", "path": "robut_sqa(cauldron)/train-*"}]}, {"config_name": "robut_wikisql(cauldron)", "data_files": [{"split": "train", "path": "robut_wikisql(cauldron)/train-*"}]}, {"config_name": "robut_wtq(cauldron,llava_format)", "data_files": [{"split": "train", "path": "robut_wtq(cauldron,llava_format)/train-*"}]}, {"config_name": "scienceqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "scienceqa(cauldron,llava_format)/train-*"}]}, {"config_name": "scienceqa(nona_context)", "data_files": [{"split": "train", "path": "scienceqa(nona_context)/train-*"}]}, {"config_name": "screen2words(cauldron)", "data_files": [{"split": "train", "path": "screen2words(cauldron)/train-*"}]}, {"config_name": "sharegpt4o", "data_files": [{"split": "train", "path": "sharegpt4o/train-*"}]}, {"config_name": "sharegpt4v(coco)", "data_files": [{"split": "train", "path": "sharegpt4v(coco)/train-*"}]}, {"config_name": "sharegpt4v(knowledge)", "data_files": [{"split": "train", "path": "sharegpt4v(knowledge)/train-*"}]}, {"config_name": "sharegpt4v(llava)", "data_files": [{"split": "train", "path": "sharegpt4v(llava)/train-*"}]}, {"config_name": "sharegpt4v(sam)", "data_files": [{"split": "train", "path": "sharegpt4v(sam)/train-*"}]}, {"config_name": "sroie", "data_files": [{"split": "train", "path": "sroie/train-*"}]}, {"config_name": "st_vqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "st_vqa(cauldron,llava_format)/train-*"}]}, {"config_name": "tabmwp(cauldron)", "data_files": [{"split": "train", "path": "tabmwp(cauldron)/train-*"}]}, {"config_name": "tallyqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "tallyqa(cauldron,llava_format)/train-*"}]}, {"config_name": "textcaps", "data_files": [{"split": "train", "path": "textcaps/train-*"}]}, {"config_name": "textocr(gpt4v)", "data_files": [{"split": "train", "path": "textocr(gpt4v)/train-*"}]}, {"config_name": "tqa(cauldron,llava_format)", "data_files": [{"split": "train", "path": "tqa(cauldron,llava_format)/train-*"}]}, {"config_name": "ureader_cap", "data_files": [{"split": "train", "path": "ureader_cap/train-*"}]}, {"config_name": "ureader_ie", "data_files": [{"split": "train", "path": "ureader_ie/train-*"}]}, {"config_name": "vision_flan(filtered)", "data_files": [{"split": "train", "path": "vision_flan(filtered)/train-*"}]}, {"config_name": "vistext(cauldron)", "data_files": [{"split": "train", "path": "vistext(cauldron)/train-*"}]}, {"config_name": "visual7w(cauldron,llava_format)", "data_files": [{"split": "train", "path": "visual7w(cauldron,llava_format)/train-*"}]}, {"config_name": "visualmrc(cauldron)", "data_files": [{"split": "train", "path": "visualmrc(cauldron)/train-*"}]}, {"config_name": "vqarad(cauldron,llava_format)", "data_files": [{"split": "train", "path": "vqarad(cauldron,llava_format)/train-*"}]}, {"config_name": "vsr(cauldron,llava_format)", "data_files": [{"split": "train", "path": "vsr(cauldron,llava_format)/train-*"}]}, {"config_name": "websight(cauldron)", "data_files": [{"split": "train", "path": "websight(cauldron)/train-*"}]}]}

b3732cfc24e4b64d5080a0d55110e543b1f7db80

Dataset Card for LLaVA-OneVision [2024-09-01]: Uploaded VisualWebInstruct(filtered), it's used in OneVision Stage almost all subsets are uploaded with HF's required format and you can use the recommended interface to download them and follow our code below to convert them. the subset of ureader_kg and ureader_qa are uploaded with the processed jsons and tar.gz of image folders. You may directly download them from the following url.… See the full description on the dataset page: https://huggingface.co./datasets/lmms-lab/LLaVA-OneVision-Data.

66a53dc7d40a13036c5f2ebe

mlabonne/FineTome-100k

mlabonne

{"dataset_info": {"features": [{"name": "conversations", "list": [{"name": "from", "dtype": "string"}, {"name": "value", "dtype": "string"}]}, {"name": "source", "dtype": "string"}, {"name": "score", "dtype": "float64"}], "splits": [{"name": "train", "num_bytes": 239650960.7474458, "num_examples": 100000}], "download_size": 116531415, "dataset_size": 239650960.7474458}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}

c2343c1372ff31f51aa21248db18bffa3193efdb

FineTome-100k The FineTome dataset is a subset of arcee-ai/The-Tome (without arcee-ai/qwen2-72b-magpie-en), re-filtered using HuggingFaceFW/fineweb-edu-classifier. It was made for my article "Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth".

66e46a3f6e6ce3af7295dde6

openai/MMMLU

openai

{"task_categories": ["question-answering"], "configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "test/*.csv"}]}, {"config_name": "AR_XY", "data_files": [{"split": "test", "path": "test/mmlu_AR-XY.csv"}]}, {"config_name": "BN_BD", "data_files": [{"split": "test", "path": "test/mmlu_BN-BD.csv"}]}, {"config_name": "DE_DE", "data_files": [{"split": "test", "path": "test/mmlu_DE-DE.csv"}]}, {"config_name": "ES_LA", "data_files": [{"split": "test", "path": "test/mmlu_ES-LA.csv"}]}, {"config_name": "FR_FR", "data_files": [{"split": "test", "path": "test/mmlu_FR-FR.csv"}]}, {"config_name": "HI_IN", "data_files": [{"split": "test", "path": "test/mmlu_HI-IN.csv"}]}, {"config_name": "ID_ID", "data_files": [{"split": "test", "path": "test/mmlu_ID-ID.csv"}]}, {"config_name": "IT_IT", "data_files": [{"split": "test", "path": "test/mmlu_IT-IT.csv"}]}, {"config_name": "JA_JP", "data_files": [{"split": "test", "path": "test/mmlu_JA-JP.csv"}]}, {"config_name": "KO_KR", "data_files": [{"split": "test", "path": "test/mmlu_KO-KR.csv"}]}, {"config_name": "PT_BR", "data_files": [{"split": "test", "path": "test/mmlu_PT-BR.csv"}]}, {"config_name": "SW_KE", "data_files": [{"split": "test", "path": "test/mmlu_SW-KE.csv"}]}, {"config_name": "YO_NG", "data_files": [{"split": "test", "path": "test/mmlu_YO-NG.csv"}]}, {"config_name": "ZH_CN", "data_files": [{"split": "test", "path": "test/mmlu_ZH-CN.csv"}]}], "language": ["ar", "bn", "de", "es", "fr", "hi", "id", "it", "ja", "ko", "pt", "sw", "yo", "zh"], "license": "mit"}

325a01dc3e173cac1578df94120499aaca2e2504

Multilingual Massive Multitask Language Understanding (MMMLU) The MMLU is a widely recognized benchmark of general knowledge attained by AI models. It covers a broad range of topics from 57 different categories, covering elementary-level knowledge up to advanced professional subjects like law, physics, history, and computer science. We translated the MMLU’s test set into 14 languages using professional human translators. Relying on human translators for this evaluation increases… See the full description on the dataset page: https://huggingface.co./datasets/openai/MMMLU.

670783e7bbae2dc38445e569

wjfhit/filmagent_unity

wjfhit

b3bef5078f08aeb08bac849f5cc4085b89dca186

673e9e53cdad8a9744b0bf1b

O1-OPEN/OpenO1-SFT

O1-OPEN

{"license": "apache-2.0", "task_categories": ["question-answering"], "language": ["en", "zh"], "size_categories": ["10K<n<100K"]}

63112de109aa755e9cdfad63a13f08a92dd7df36

SFT Data for CoT Activation 🎉🎉🎉This repository contains the dataset used for fine-tuning a language model using SFT for Chain-of-Thought Activation. 🌈🌈🌈The dataset is designed to enhance the model's ability to generate coherent and logical reasoning sequences. ☄☄☄By using this dataset, the model can learn to produce detailed and structured reasoning steps, enhancing its performance on complex reasoning tasks. Statistics 1️⃣Total Records: 77,685… See the full description on the dataset page: https://huggingface.co./datasets/O1-OPEN/OpenO1-SFT.

6762bd836b8c13bf4712dc52

Aria-UI/Aria-UI_Data

Aria-UI

{"tags": ["GUI", "GUI Grounding", "GUI Agent", "Computer_Use"], "license": "apache-2.0"}

47c1ebaa5d559776d0179c645225d9461dee8c9f

🖼️ Try Aria-UI! · 📖 Project Page · 📌 Paper · ⭐ Code · 📚 Aria-UI Checkpoints Overview of the data Web Mobile Desktop Element Caption Field "element caption" "long_element_caption", "short_element_caption" "element caption" Instruction Field "instructions" "instructions" "instructions" Collection Source Aria-UI Common Crawl AMEX Original Dataset Aria-UI Ubuntu Number of Instructions 2.9M 1.1M 150K Number of Images 173K 104K 7.8K Our dataset… See the full description on the dataset page: https://huggingface.co./datasets/Aria-UI/Aria-UI_Data.

676f70968756741d47c691df

FreedomIntelligence/medical-o1-verifiable-problem

FreedomIntelligence

{"license": "apache-2.0", "task_categories": ["question-answering", "text-generation"], "language": ["en"], "tags": ["medical", "biology"], "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "medical_o1_verifiable_problem.json"}]}]}

46d5175eb74fdef3516d51d52e8c40db04bbdf35

Introduction This dataset features open-ended medical problems designed to improve LLMs' medical reasoning. Each entry includes a open-ended question and a ground-truth answer based on challenging medical exams. The verifiable answers enable checking LLM outputs, refining their reasoning processes. For details, see our paper and GitHub repository. Citation If you find our data useful, please consider citing our work!… See the full description on the dataset page: https://huggingface.co./datasets/FreedomIntelligence/medical-o1-verifiable-problem.

6777a827e6a8cb664c011ac7

letxbe/BoundingDocs

letxbe

{"dataset_info": {"features": [{"name": "source", "dtype": "string"}, {"name": "doc_id", "dtype": "string"}, {"name": "doc_images", "sequence": "image"}, {"name": "doc_ocr", "sequence": "string"}, {"name": "Q&A", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 194084483284.265, "num_examples": 38515}, {"name": "validation", "num_bytes": 23736151969.996, "num_examples": 4804}, {"name": "test", "num_bytes": 24400997777.592, "num_examples": 4832}], "download_size": 190112539460, "dataset_size": 242221633031.85303}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}], "task_categories": ["question-answering", "visual-question-answering"], "language": ["en", "it", "es", "fr", "de", "pt", "ja", "zh"], "license": "cc-by-4.0"}

3b1efb856558b56416813d954263e3bb56a3c57e

BoundingDocs 🔍 The largest spatially-annotated dataset for Document Question Answering Dataset Description BoundingDocs is a unified dataset for Document Question Answering (QA) that includes spatial annotations. It consolidates multiple public datasets from Document AI and Visually Rich Document Understanding (VRDU) domains. The dataset reformulates Information Extraction (IE) tasks into QA tasks, making it a valuable resource for training and evaluating Large Language… See the full description on the dataset page: https://huggingface.co./datasets/letxbe/BoundingDocs.

677c3556e185a5dab36e2c98

omkarthawakar/VRC-Bench

omkarthawakar

{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "question", "dtype": "string"}, {"name": "idx", "dtype": "string"}, {"name": "final_answer", "dtype": "string"}, {"name": "steps", "sequence": "string"}], "splits": [{"name": "test", "num_bytes": 496944903, "num_examples": 1002}], "download_size": 490323379, "dataset_size": 496944903}, "configs": [{"config_name": "default", "data_files": [{"split": "test", "path": "data/test-*"}]}]}

d6d248133b873fc6f564fe21159077272e33b3e1

Dataset Card for VRC-Bench Dataset Sources Repository: [https://github.com/mbzuai-oryx/LlamaV-o1] Paper* Dataset Structure Each data sample contains following field: { "image": PIL.Image "question": "What is the difference of largest and smallest bar?", "idx": "MathVista_74", "final_answer": "47.6", "steps": [ "Step 1: Identify the largest bar in the chart. \nAction 1: The largest bar is for Iceland at 100%.", "\nStep 2:… See the full description on the dataset page: https://huggingface.co./datasets/omkarthawakar/VRC-Bench.

67890dcd4f09f93d8332d254

shb777/gemini-flash-2.0-speech

shb777

{"license": "apache-2.0", "task_categories": ["text-to-speech", "automatic-speech-recognition"], "language": ["en"], "tags": ["audio", "llm", "synthetic"], "size_categories": ["10K<n<100K"], "dataset_info": {"features": [{"name": "kore", "dtype": "audio"}, {"name": "puck", "dtype": "audio"}, {"name": "text", "dtype": "string"}, {"name": "phoneme_length", "dtype": "float64"}], "splits": [{"name": "en", "num_bytes": 49441469494.4, "num_examples": 47256}], "download_size": 47299289868, "dataset_size": 49441469494.4}, "configs": [{"config_name": "default", "data_files": [{"split": "en", "path": "data/en-*"}]}]}

c8e82875d899f71d3780d2dbbb4d33801643cfe9

🎙️ Gemini Flash 2.0 Speech Dataset This is a high quality synthetic speech dataset generated by Gemini Flash 2.0 via the Multimodel Live API. It contains speech from 2 speakers - Puck (Male) and Kore (Female) in English. 〽️ Stats Total number of audio files: 47,256*2 = 94512Total duration: 1023527.20 seconds (284.31 hours) Average duration: 10.83 seconds Shortest file: 0.6 secondsLongest file: 92.12 seconds 🧩 Data Composition The text in the… See the full description on the dataset page: https://huggingface.co./datasets/shb777/gemini-flash-2.0-speech.

678e8e9af5e7000d9a8048e4

Med-dataset/Med_Dataset

Med-dataset

{"task_categories": ["question-answering"], "language": ["en"], "tags": ["medical"], "pretty_name": "Med_data", "size_categories": ["100K<n<1M"]}

fb20a70c34458a982ff6c5bb4fc52a25b8ad4c75

Complete Dataset Data shown below is complete Medical dataset Access the complete dataset using the link below: Download Dataset Support Us on Product Hunt and X! Connect with Me on Happenstance Join me on Happenstance!Click here to add me as a friend Looking forward to connecting! For more information or assistance, feel free to contact us at [email protected]. short_description: Medical datasets for healthcare model… See the full description on the dataset page: https://huggingface.co./datasets/Med-dataset/Med_Dataset.

679193d2b7c3dc07f4eece4a

Jiayi-Pan/Countdown-Tasks-3to4

Jiayi-Pan

{"dataset_info": {"features": [{"name": "target", "dtype": "int64"}, {"name": "nums", "sequence": "int64"}], "splits": [{"name": "train", "num_bytes": 19650960, "num_examples": 490364}], "download_size": 2845904, "dataset_size": 19650960}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}]}]}

408f70d177020686d34a56bba5952feb45aaaee4

621ffdd236468d709f181df2

li2017dailydialog/daily_dialog

li2017dailydialog

{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-nc-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-label-classification"], "paperswithcode_id": "dailydialog", "pretty_name": "DailyDialog", "tags": ["emotion-classification", "dialog-act-classification"], "dataset_info": {"features": [{"name": "dialog", "sequence": "string"}, {"name": "act", "sequence": {"class_label": {"names": {"0": "__dummy__", "1": "inform", "2": "question", "3": "directive", "4": "commissive"}}}}, {"name": "emotion", "sequence": {"class_label": {"names": {"0": "no emotion", "1": "anger", "2": "disgust", "3": "fear", "4": "happiness", "5": "sadness", "6": "surprise"}}}}], "splits": [{"name": "train", "num_bytes": 7296715, "num_examples": 11118}, {"name": "test", "num_bytes": 655844, "num_examples": 1000}, {"name": "validation", "num_bytes": 673943, "num_examples": 1000}], "download_size": 4475921, "dataset_size": 8626502}}

ffde34acefcd956529c39c4fc78d993b5b7f7520

We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects. The language is human-written and less noisy. The dialogues in the dataset reflect our daily communication way and cover various topics about our daily life. We also manually label the developed dataset with communication intention and emotion information. Then, we evaluate existing approaches on DailyDialog dataset and hope it benefit the research field of dialog systems.

dailydialog

@InProceedings{li2017dailydialog, author = {Li, Yanran and Su, Hui and Shen, Xiaoyu and Li, Wenjie and Cao, Ziqiang and Niu, Shuzi}, title = {DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset}, booktitle = {Proceedings of The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)}, year = {2017} }

621ffdd236468d709f181e41

google-research-datasets/go_emotions

google-research-datasets

{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M", "10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification", "multi-label-classification"], "paperswithcode_id": "goemotions", "pretty_name": "GoEmotions", "config_names": ["raw", "simplified"], "tags": ["emotion"], "dataset_info": [{"config_name": "raw", "features": [{"name": "text", "dtype": "string"}, {"name": "id", "dtype": "string"}, {"name": "author", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "link_id", "dtype": "string"}, {"name": "parent_id", "dtype": "string"}, {"name": "created_utc", "dtype": "float32"}, {"name": "rater_id", "dtype": "int32"}, {"name": "example_very_unclear", "dtype": "bool"}, {"name": "admiration", "dtype": "int32"}, {"name": "amusement", "dtype": "int32"}, {"name": "anger", "dtype": "int32"}, {"name": "annoyance", "dtype": "int32"}, {"name": "approval", "dtype": "int32"}, {"name": "caring", "dtype": "int32"}, {"name": "confusion", "dtype": "int32"}, {"name": "curiosity", "dtype": "int32"}, {"name": "desire", "dtype": "int32"}, {"name": "disappointment", "dtype": "int32"}, {"name": "disapproval", "dtype": "int32"}, {"name": "disgust", "dtype": "int32"}, {"name": "embarrassment", "dtype": "int32"}, {"name": "excitement", "dtype": "int32"}, {"name": "fear", "dtype": "int32"}, {"name": "gratitude", "dtype": "int32"}, {"name": "grief", "dtype": "int32"}, {"name": "joy", "dtype": "int32"}, {"name": "love", "dtype": "int32"}, {"name": "nervousness", "dtype": "int32"}, {"name": "optimism", "dtype": "int32"}, {"name": "pride", "dtype": "int32"}, {"name": "realization", "dtype": "int32"}, {"name": "relief", "dtype": "int32"}, {"name": "remorse", "dtype": "int32"}, {"name": "sadness", "dtype": "int32"}, {"name": "surprise", "dtype": "int32"}, {"name": "neutral", "dtype": "int32"}], "splits": [{"name": "train", "num_bytes": 55343102, "num_examples": 211225}], "download_size": 24828322, "dataset_size": 55343102}, {"config_name": "simplified", "features": [{"name": "text", "dtype": "string"}, {"name": "labels", "sequence": {"class_label": {"names": {"0": "admiration", "1": "amusement", "2": "anger", "3": "annoyance", "4": "approval", "5": "caring", "6": "confusion", "7": "curiosity", "8": "desire", "9": "disappointment", "10": "disapproval", "11": "disgust", "12": "embarrassment", "13": "excitement", "14": "fear", "15": "gratitude", "16": "grief", "17": "joy", "18": "love", "19": "nervousness", "20": "optimism", "21": "pride", "22": "realization", "23": "relief", "24": "remorse", "25": "sadness", "26": "surprise", "27": "neutral"}}}}, {"name": "id", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 4224138, "num_examples": 43410}, {"name": "validation", "num_bytes": 527119, "num_examples": 5426}, {"name": "test", "num_bytes": 524443, "num_examples": 5427}], "download_size": 3464371, "dataset_size": 5275700}], "configs": [{"config_name": "raw", "data_files": [{"split": "train", "path": "raw/train-*"}]}, {"config_name": "simplified", "data_files": [{"split": "train", "path": "simplified/train-*"}, {"split": "validation", "path": "simplified/validation-*"}, {"split": "test", "path": "simplified/test-*"}], "default": true}]}

add492243ff905527e67aeb8b80c082af02207c3

Dataset Card for GoEmotions Dataset Summary The GoEmotions dataset contains 58k carefully curated Reddit comments labeled for 27 emotion categories or Neutral. The raw data is included as well as the smaller, simplified version of the dataset with predefined train/val/test splits. Supported Tasks and Leaderboards This dataset is intended for multi-class, multi-label emotion classification. Languages The data is in English.… See the full description on the dataset page: https://huggingface.co./datasets/google-research-datasets/go_emotions.

goemotions

621ffdd236468d709f181ecb

microsoft/ms_marco

microsoft

{"language": ["en"], "paperswithcode_id": "ms-marco", "pretty_name": "Microsoft Machine Reading Comprehension Dataset", "dataset_info": [{"config_name": "v1.1", "features": [{"name": "answers", "sequence": "string"}, {"name": "passages", "sequence": [{"name": "is_selected", "dtype": "int32"}, {"name": "passage_text", "dtype": "string"}, {"name": "url", "dtype": "string"}]}, {"name": "query", "dtype": "string"}, {"name": "query_id", "dtype": "int32"}, {"name": "query_type", "dtype": "string"}, {"name": "wellFormedAnswers", "sequence": "string"}], "splits": [{"name": "validation", "num_bytes": 42665198, "num_examples": 10047}, {"name": "train", "num_bytes": 350516260, "num_examples": 82326}, {"name": "test", "num_bytes": 40977580, "num_examples": 9650}], "download_size": 217328153, "dataset_size": 434159038}, {"config_name": "v2.1", "features": [{"name": "answers", "sequence": "string"}, {"name": "passages", "sequence": [{"name": "is_selected", "dtype": "int32"}, {"name": "passage_text", "dtype": "string"}, {"name": "url", "dtype": "string"}]}, {"name": "query", "dtype": "string"}, {"name": "query_id", "dtype": "int32"}, {"name": "query_type", "dtype": "string"}, {"name": "wellFormedAnswers", "sequence": "string"}], "splits": [{"name": "validation", "num_bytes": 413765365, "num_examples": 101093}, {"name": "train", "num_bytes": 3462807709, "num_examples": 808731}, {"name": "test", "num_bytes": 405691932, "num_examples": 101092}], "download_size": 2105722550, "dataset_size": 4282265006}], "configs": [{"config_name": "v1.1", "data_files": [{"split": "validation", "path": "v1.1/validation-*"}, {"split": "train", "path": "v1.1/train-*"}, {"split": "test", "path": "v1.1/test-*"}]}, {"config_name": "v2.1", "data_files": [{"split": "validation", "path": "v2.1/validation-*"}, {"split": "train", "path": "v2.1/train-*"}, {"split": "test", "path": "v2.1/test-*"}]}]}

a47ee7aae8d7d466ba15f9f0bfac3b3681087b3a

Dataset Card for "ms_marco" Dataset Summary Starting with a paper released at NIPS 2016, MS MARCO is a collection of datasets focused on deep learning in search. The first dataset was a question answering dataset featuring 100,000 real Bing questions and a human generated answer. Since then we released a 1,000,000 question dataset, a natural langauge generation dataset, a passage ranking dataset, keyphrase extraction dataset, crawling dataset, and a conversational… See the full description on the dataset page: https://huggingface.co./datasets/microsoft/ms_marco.

ms-marco

621ffdd236468d709f181f06

openai/openai_humaneval

openai

{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["n<1K"], "source_datasets": ["original"], "task_categories": ["text2text-generation"], "task_ids": [], "paperswithcode_id": "humaneval", "pretty_name": "OpenAI HumanEval", "tags": ["code-generation"], "dataset_info": {"config_name": "openai_humaneval", "features": [{"name": "task_id", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "canonical_solution", "dtype": "string"}, {"name": "test", "dtype": "string"}, {"name": "entry_point", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 194394, "num_examples": 164}], "download_size": 83920, "dataset_size": 194394}, "configs": [{"config_name": "openai_humaneval", "data_files": [{"split": "test", "path": "openai_humaneval/test-*"}], "default": true}]}

7dce6050a7d6d172f3cc5c32aa97f52fa1a2e544

Dataset Card for OpenAI HumanEval Dataset Summary The HumanEval dataset released by OpenAI includes 164 programming problems with a function sig- nature, docstring, body, and several unit tests. They were handwritten to ensure not to be included in the training set of code generation models. Supported Tasks and Leaderboards Languages The programming problems are written in Python and contain English natural text in comments and… See the full description on the dataset page: https://huggingface.co./datasets/openai/openai_humaneval.

humaneval

621ffdd236468d709f181f95

rajpurkar/squad

rajpurkar

{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "found"], "language": ["en"], "license": "cc-by-sa-4.0", "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["extended|wikipedia"], "task_categories": ["question-answering"], "task_ids": ["extractive-qa"], "paperswithcode_id": "squad", "pretty_name": "SQuAD", "dataset_info": {"config_name": "plain_text", "features": [{"name": "id", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "context", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": [{"name": "text", "dtype": "string"}, {"name": "answer_start", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 79346108, "num_examples": 87599}, {"name": "validation", "num_bytes": 10472984, "num_examples": 10570}], "download_size": 16278203, "dataset_size": 89819092}, "configs": [{"config_name": "plain_text", "data_files": [{"split": "train", "path": "plain_text/train-*"}, {"split": "validation", "path": "plain_text/validation-*"}], "default": true}], "train-eval-index": [{"config": "plain_text", "task": "question-answering", "task_id": "extractive_question_answering", "splits": {"train_split": "train", "eval_split": "validation"}, "col_mapping": {"question": "question", "context": "context", "answers": {"text": "text", "answer_start": "answer_start"}}, "metrics": [{"type": "squad", "name": "SQuAD"}]}]}

7b6d24c440a36b6815f21b70d25016731768db1f

Dataset Card for SQuAD Dataset Summary Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. SQuAD 1.1 contains 100,000+ question-answer pairs on 500+ articles. Supported Tasks and Leaderboards Question… See the full description on the dataset page: https://huggingface.co./datasets/rajpurkar/squad.

squad

621ffdd236468d709f181fd4

mandarjoshi/trivia_qa

mandarjoshi

{"annotations_creators": ["crowdsourced"], "language_creators": ["machine-generated"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K", "100K<n<1M"], "source_datasets": ["original"], "task_categories": ["question-answering", "text2text-generation"], "task_ids": ["open-domain-qa", "open-domain-abstractive-qa", "extractive-qa", "abstractive-qa"], "paperswithcode_id": "triviaqa", "pretty_name": "TriviaQA", "dataset_info": [{"config_name": "rc", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 12749651131, "num_examples": 138384}, {"name": "validation", "num_bytes": 1662321188, "num_examples": 17944}, {"name": "test", "num_bytes": 1577710503, "num_examples": 17210}], "download_size": 8998808983, "dataset_size": 15989682822}, {"config_name": "rc.nocontext", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 106882730, "num_examples": 138384}, {"name": "validation", "num_bytes": 14059830, "num_examples": 17944}, {"name": "test", "num_bytes": 3667903, "num_examples": 17210}], "download_size": 63926518, "dataset_size": 124610463}, {"config_name": "rc.web", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 9408851139, "num_examples": 76496}, {"name": "validation", "num_bytes": 1232155138, "num_examples": 9951}, {"name": "test", "num_bytes": 1171663999, "num_examples": 9509}], "download_size": 6626625832, "dataset_size": 11812670276}, {"config_name": "rc.web.nocontext", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 58523085, "num_examples": 76496}, {"name": "validation", "num_bytes": 7694557, "num_examples": 9951}, {"name": "test", "num_bytes": 2024747, "num_examples": 9509}], "download_size": 35123473, "dataset_size": 68242389}, {"config_name": "rc.wikipedia", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 3340799992, "num_examples": 61888}, {"name": "validation", "num_bytes": 430166050, "num_examples": 7993}, {"name": "test", "num_bytes": 406046504, "num_examples": 7701}], "download_size": 2293374081, "dataset_size": 4177012546}, {"config_name": "rc.wikipedia.nocontext", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 48359645, "num_examples": 61888}, {"name": "validation", "num_bytes": 6365273, "num_examples": 7993}, {"name": "test", "num_bytes": 1643156, "num_examples": 7701}], "download_size": 28803950, "dataset_size": 56368074}, {"config_name": "unfiltered", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 23292199425, "num_examples": 87622}, {"name": "validation", "num_bytes": 3038803743, "num_examples": 11313}, {"name": "test", "num_bytes": 2906455311, "num_examples": 10832}], "download_size": 16695552268, "dataset_size": 29237458479}, {"config_name": "unfiltered.nocontext", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 63300226, "num_examples": 87622}, {"name": "validation", "num_bytes": 8296870, "num_examples": 11313}, {"name": "test", "num_bytes": 2320660, "num_examples": 10832}], "download_size": 38364033, "dataset_size": 73917756}, {"config_name": "unfiltered.web", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train"}, {"name": "validation"}, {"name": "test"}], "download_size": 3298328560, "dataset_size": 0}, {"config_name": "unfiltered.web.nocontext", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train"}, {"name": "validation"}, {"name": "test"}], "download_size": 632549060, "dataset_size": 0}, {"config_name": "unfiltered.wikipedia", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train"}, {"name": "validation"}, {"name": "test"}], "download_size": 3298328560, "dataset_size": 0}, {"config_name": "unfiltered.wikipedia.nocontext", "features": [{"name": "question", "dtype": "string"}, {"name": "question_id", "dtype": "string"}, {"name": "question_source", "dtype": "string"}, {"name": "entity_pages", "sequence": [{"name": "doc_source", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "title", "dtype": "string"}, {"name": "wiki_context", "dtype": "string"}]}, {"name": "search_results", "sequence": [{"name": "description", "dtype": "string"}, {"name": "filename", "dtype": "string"}, {"name": "rank", "dtype": "int32"}, {"name": "title", "dtype": "string"}, {"name": "url", "dtype": "string"}, {"name": "search_context", "dtype": "string"}]}, {"name": "answer", "struct": [{"name": "aliases", "sequence": "string"}, {"name": "normalized_aliases", "sequence": "string"}, {"name": "matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_matched_wiki_entity_name", "dtype": "string"}, {"name": "normalized_value", "dtype": "string"}, {"name": "type", "dtype": "string"}, {"name": "value", "dtype": "string"}]}], "splits": [{"name": "train"}, {"name": "validation"}, {"name": "test"}], "download_size": 632549060, "dataset_size": 0}], "configs": [{"config_name": "rc", "data_files": [{"split": "train", "path": "rc/train-*"}, {"split": "validation", "path": "rc/validation-*"}, {"split": "test", "path": "rc/test-*"}]}, {"config_name": "rc.nocontext", "data_files": [{"split": "train", "path": "rc.nocontext/train-*"}, {"split": "validation", "path": "rc.nocontext/validation-*"}, {"split": "test", "path": "rc.nocontext/test-*"}]}, {"config_name": "rc.web", "data_files": [{"split": "train", "path": "rc.web/train-*"}, {"split": "validation", "path": "rc.web/validation-*"}, {"split": "test", "path": "rc.web/test-*"}]}, {"config_name": "rc.web.nocontext", "data_files": [{"split": "train", "path": "rc.web.nocontext/train-*"}, {"split": "validation", "path": "rc.web.nocontext/validation-*"}, {"split": "test", "path": "rc.web.nocontext/test-*"}]}, {"config_name": "rc.wikipedia", "data_files": [{"split": "train", "path": "rc.wikipedia/train-*"}, {"split": "validation", "path": "rc.wikipedia/validation-*"}, {"split": "test", "path": "rc.wikipedia/test-*"}]}, {"config_name": "rc.wikipedia.nocontext", "data_files": [{"split": "train", "path": "rc.wikipedia.nocontext/train-*"}, {"split": "validation", "path": "rc.wikipedia.nocontext/validation-*"}, {"split": "test", "path": "rc.wikipedia.nocontext/test-*"}]}, {"config_name": "unfiltered", "data_files": [{"split": "train", "path": "unfiltered/train-*"}, {"split": "validation", "path": "unfiltered/validation-*"}, {"split": "test", "path": "unfiltered/test-*"}]}, {"config_name": "unfiltered.nocontext", "data_files": [{"split": "train", "path": "unfiltered.nocontext/train-*"}, {"split": "validation", "path": "unfiltered.nocontext/validation-*"}, {"split": "test", "path": "unfiltered.nocontext/test-*"}]}]}

0f7faf33a3908546c6fd5b73a660e0f8ff173c2f

Dataset Card for "trivia_qa" Dataset Summary TriviaqQA is a reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaqQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per question on average, that provide high quality distant supervision for answering the questions. Supported Tasks and Leaderboards More Information Needed Languages… See the full description on the dataset page: https://huggingface.co./datasets/mandarjoshi/trivia_qa.

triviaqa

621ffdd236468d709f182033

Yelp/yelp_review_full

Yelp

{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "pretty_name": "YelpReviewFull", "license_details": "yelp-licence", "dataset_info": {"config_name": "yelp_review_full", "features": [{"name": "label", "dtype": {"class_label": {"names": {"0": "1 star", "1": "2 star", "2": "3 stars", "3": "4 stars", "4": "5 stars"}}}}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 483811554, "num_examples": 650000}, {"name": "test", "num_bytes": 37271188, "num_examples": 50000}], "download_size": 322952369, "dataset_size": 521082742}, "configs": [{"config_name": "yelp_review_full", "data_files": [{"split": "train", "path": "yelp_review_full/train-*"}, {"split": "test", "path": "yelp_review_full/test-*"}], "default": true}], "train-eval-index": [{"config": "yelp_review_full", "task": "text-classification", "task_id": "multi_class_classification", "splits": {"train_split": "train", "eval_split": "test"}, "col_mapping": {"text": "text", "label": "target"}, "metrics": [{"type": "accuracy", "name": "Accuracy"}, {"type": "f1", "name": "F1 macro", "args": {"average": "macro"}}, {"type": "f1", "name": "F1 micro", "args": {"average": "micro"}}, {"type": "f1", "name": "F1 weighted", "args": {"average": "weighted"}}, {"type": "precision", "name": "Precision macro", "args": {"average": "macro"}}, {"type": "precision", "name": "Precision micro", "args": {"average": "micro"}}, {"type": "precision", "name": "Precision weighted", "args": {"average": "weighted"}}, {"type": "recall", "name": "Recall macro", "args": {"average": "macro"}}, {"type": "recall", "name": "Recall micro", "args": {"average": "micro"}}, {"type": "recall", "name": "Recall weighted", "args": {"average": "weighted"}}]}]}

c1f9ee939b7d05667af864ee1cb066393154bf85

Dataset Card for YelpReviewFull Dataset Summary The Yelp reviews dataset consists of reviews from Yelp. It is extracted from the Yelp Dataset Challenge 2015 data. Supported Tasks and Leaderboards text-classification, sentiment-classification: The dataset is mainly used for text classification: given the text, predict the sentiment. Languages The reviews were mainly written in english. Dataset Structure… See the full description on the dataset page: https://huggingface.co./datasets/Yelp/yelp_review_full.

621ffdd236468d709f182a80

allenai/c4

allenai

{"pretty_name": "C4", "annotations_creators": ["no-annotation"], "language_creators": ["found"], "language": ["af", "am", "ar", "az", "be", "bg", "bn", "ca", "ceb", "co", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fil", "fr", "fy", "ga", "gd", "gl", "gu", "ha", "haw", "he", "hi", "hmn", "ht", "hu", "hy", "id", "ig", "is", "it", "iw", "ja", "jv", "ka", "kk", "km", "kn", "ko", "ku", "ky", "la", "lb", "lo", "lt", "lv", "mg", "mi", "mk", "ml", "mn", "mr", "ms", "mt", "my", "ne", "nl", "no", "ny", "pa", "pl", "ps", "pt", "ro", "ru", "sd", "si", "sk", "sl", "sm", "sn", "so", "sq", "sr", "st", "su", "sv", "sw", "ta", "te", "tg", "th", "tr", "uk", "und", "ur", "uz", "vi", "xh", "yi", "yo", "zh", "zu"], "language_bcp47": ["bg-Latn", "el-Latn", "hi-Latn", "ja-Latn", "ru-Latn", "zh-Latn"], "license": ["odc-by"], "multilinguality": ["multilingual"], "size_categories": ["n<1K", "1K<n<10K", "10K<n<100K", "100K<n<1M", "1M<n<10M", "10M<n<100M", "100M<n<1B", "1B<n<10B"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked-language-modeling"], "paperswithcode_id": "c4", "dataset_info": [{"config_name": "en", "features": [{"name": "text", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 828589180707, "num_examples": 364868892}, {"name": "validation", "num_bytes": 825767266, "num_examples": 364608}], "download_size": 326778635540, "dataset_size": 1657178361414}, {"config_name": "en.noblocklist", "features": [{"name": "text", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1029628201361, "num_examples": 393391519}, {"name": "validation", "num_bytes": 1025606012, "num_examples": 393226}], "download_size": 406611392434, "dataset_size": 2059256402722}, {"config_name": "realnewslike", "features": [{"name": "text", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 38165657946, "num_examples": 13799838}, {"name": "validation", "num_bytes": 37875873, "num_examples": 13863}], "download_size": 15419740744, "dataset_size": 76331315892}, {"config_name": "en.noclean", "features": [{"name": "text", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}, {"name": "url", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 6715509699938, "num_examples": 1063805381}, {"name": "validation", "num_bytes": 6706356913, "num_examples": 1065029}], "download_size": 2430376268625, "dataset_size": 6722216056851}], "configs": [{"config_name": "en", "data_files": [{"split": "train", "path": "en/c4-train.*.json.gz"}, {"split": "validation", "path": "en/c4-validation.*.json.gz"}]}, {"config_name": "en.noblocklist", "data_files": [{"split": "train", "path": "en.noblocklist/c4-train.*.json.gz"}, {"split": "validation", "path": "en.noblocklist/c4-validation.*.json.gz"}]}, {"config_name": "en.noclean", "data_files": [{"split": "train", "path": "en.noclean/c4-train.*.json.gz"}, {"split": "validation", "path": "en.noclean/c4-validation.*.json.gz"}]}, {"config_name": "realnewslike", "data_files": [{"split": "train", "path": "realnewslike/c4-train.*.json.gz"}, {"split": "validation", "path": "realnewslike/c4-validation.*.json.gz"}]}, {"config_name": "multilingual", "data_files": [{"split": "train", "path": ["multilingual/c4-af.*.json.gz", "multilingual/c4-am.*.json.gz", "multilingual/c4-ar.*.json.gz", "multilingual/c4-az.*.json.gz", "multilingual/c4-be.*.json.gz", "multilingual/c4-bg.*.json.gz", "multilingual/c4-bg-Latn.*.json.gz", "multilingual/c4-bn.*.json.gz", "multilingual/c4-ca.*.json.gz", "multilingual/c4-ceb.*.json.gz", "multilingual/c4-co.*.json.gz", "multilingual/c4-cs.*.json.gz", "multilingual/c4-cy.*.json.gz", "multilingual/c4-da.*.json.gz", "multilingual/c4-de.*.json.gz", "multilingual/c4-el.*.json.gz", "multilingual/c4-el-Latn.*.json.gz", "multilingual/c4-en.*.json.gz", "multilingual/c4-eo.*.json.gz", "multilingual/c4-es.*.json.gz", "multilingual/c4-et.*.json.gz", "multilingual/c4-eu.*.json.gz", "multilingual/c4-fa.*.json.gz", "multilingual/c4-fi.*.json.gz", "multilingual/c4-fil.*.json.gz", "multilingual/c4-fr.*.json.gz", "multilingual/c4-fy.*.json.gz", "multilingual/c4-ga.*.json.gz", "multilingual/c4-gd.*.json.gz", "multilingual/c4-gl.*.json.gz", "multilingual/c4-gu.*.json.gz", "multilingual/c4-ha.*.json.gz", "multilingual/c4-haw.*.json.gz", "multilingual/c4-hi.*.json.gz", "multilingual/c4-hi-Latn.*.json.gz", "multilingual/c4-hmn.*.json.gz", "multilingual/c4-ht.*.json.gz", "multilingual/c4-hu.*.json.gz", "multilingual/c4-hy.*.json.gz", "multilingual/c4-id.*.json.gz", "multilingual/c4-ig.*.json.gz", "multilingual/c4-is.*.json.gz", "multilingual/c4-it.*.json.gz", "multilingual/c4-iw.*.json.gz", "multilingual/c4-ja.*.json.gz", "multilingual/c4-ja-Latn.*.json.gz", "multilingual/c4-jv.*.json.gz", "multilingual/c4-ka.*.json.gz", "multilingual/c4-kk.*.json.gz", "multilingual/c4-km.*.json.gz", "multilingual/c4-kn.*.json.gz", "multilingual/c4-ko.*.json.gz", "multilingual/c4-ku.*.json.gz", "multilingual/c4-ky.*.json.gz", "multilingual/c4-la.*.json.gz", "multilingual/c4-lb.*.json.gz", "multilingual/c4-lo.*.json.gz", "multilingual/c4-lt.*.json.gz", "multilingual/c4-lv.*.json.gz", "multilingual/c4-mg.*.json.gz", "multilingual/c4-mi.*.json.gz", "multilingual/c4-mk.*.json.gz", "multilingual/c4-ml.*.json.gz", "multilingual/c4-mn.*.json.gz", "multilingual/c4-mr.*.json.gz", "multilingual/c4-ms.*.json.gz", "multilingual/c4-mt.*.json.gz", "multilingual/c4-my.*.json.gz", "multilingual/c4-ne.*.json.gz", "multilingual/c4-nl.*.json.gz", "multilingual/c4-no.*.json.gz", "multilingual/c4-ny.*.json.gz", "multilingual/c4-pa.*.json.gz", "multilingual/c4-pl.*.json.gz", "multilingual/c4-ps.*.json.gz", "multilingual/c4-pt.*.json.gz", "multilingual/c4-ro.*.json.gz", "multilingual/c4-ru.*.json.gz", "multilingual/c4-ru-Latn.*.json.gz", "multilingual/c4-sd.*.json.gz", "multilingual/c4-si.*.json.gz", "multilingual/c4-sk.*.json.gz", "multilingual/c4-sl.*.json.gz", "multilingual/c4-sm.*.json.gz", "multilingual/c4-sn.*.json.gz", "multilingual/c4-so.*.json.gz", "multilingual/c4-sq.*.json.gz", "multilingual/c4-sr.*.json.gz", "multilingual/c4-st.*.json.gz", "multilingual/c4-su.*.json.gz", "multilingual/c4-sv.*.json.gz", "multilingual/c4-sw.*.json.gz", "multilingual/c4-ta.*.json.gz", "multilingual/c4-te.*.json.gz", "multilingual/c4-tg.*.json.gz", "multilingual/c4-th.*.json.gz", "multilingual/c4-tr.*.json.gz", "multilingual/c4-uk.*.json.gz", "multilingual/c4-und.*.json.gz", "multilingual/c4-ur.*.json.gz", "multilingual/c4-uz.*.json.gz", "multilingual/c4-vi.*.json.gz", "multilingual/c4-xh.*.json.gz", "multilingual/c4-yi.*.json.gz", "multilingual/c4-yo.*.json.gz", "multilingual/c4-zh.*.json.gz", "multilingual/c4-zh-Latn.*.json.gz", "multilingual/c4-zu.*.json.gz"]}, {"split": "validation", "path": ["multilingual/c4-af-validation.*.json.gz", "multilingual/c4-am-validation.*.json.gz", "multilingual/c4-ar-validation.*.json.gz", "multilingual/c4-az-validation.*.json.gz", "multilingual/c4-be-validation.*.json.gz", "multilingual/c4-bg-validation.*.json.gz", "multilingual/c4-bg-Latn-validation.*.json.gz", "multilingual/c4-bn-validation.*.json.gz", "multilingual/c4-ca-validation.*.json.gz", "multilingual/c4-ceb-validation.*.json.gz", "multilingual/c4-co-validation.*.json.gz", "multilingual/c4-cs-validation.*.json.gz", "multilingual/c4-cy-validation.*.json.gz", "multilingual/c4-da-validation.*.json.gz", "multilingual/c4-de-validation.*.json.gz", "multilingual/c4-el-validation.*.json.gz", "multilingual/c4-el-Latn-validation.*.json.gz", "multilingual/c4-en-validation.*.json.gz", "multilingual/c4-eo-validation.*.json.gz", "multilingual/c4-es-validation.*.json.gz", "multilingual/c4-et-validation.*.json.gz", "multilingual/c4-eu-validation.*.json.gz", "multilingual/c4-fa-validation.*.json.gz", "multilingual/c4-fi-validation.*.json.gz", "multilingual/c4-fil-validation.*.json.gz", "multilingual/c4-fr-validation.*.json.gz", "multilingual/c4-fy-validation.*.json.gz", "multilingual/c4-ga-validation.*.json.gz", "multilingual/c4-gd-validation.*.json.gz", "multilingual/c4-gl-validation.*.json.gz", "multilingual/c4-gu-validation.*.json.gz", "multilingual/c4-ha-validation.*.json.gz", "multilingual/c4-haw-validation.*.json.gz", "multilingual/c4-hi-validation.*.json.gz", "multilingual/c4-hi-Latn-validation.*.json.gz", "multilingual/c4-hmn-validation.*.json.gz", "multilingual/c4-ht-validation.*.json.gz", "multilingual/c4-hu-validation.*.json.gz", "multilingual/c4-hy-validation.*.json.gz", "multilingual/c4-id-validation.*.json.gz", "multilingual/c4-ig-validation.*.json.gz", "multilingual/c4-is-validation.*.json.gz", "multilingual/c4-it-validation.*.json.gz", "multilingual/c4-iw-validation.*.json.gz", "multilingual/c4-ja-validation.*.json.gz", "multilingual/c4-ja-Latn-validation.*.json.gz", "multilingual/c4-jv-validation.*.json.gz", "multilingual/c4-ka-validation.*.json.gz", "multilingual/c4-kk-validation.*.json.gz", "multilingual/c4-km-validation.*.json.gz", "multilingual/c4-kn-validation.*.json.gz", "multilingual/c4-ko-validation.*.json.gz", "multilingual/c4-ku-validation.*.json.gz", "multilingual/c4-ky-validation.*.json.gz", "multilingual/c4-la-validation.*.json.gz", "multilingual/c4-lb-validation.*.json.gz", "multilingual/c4-lo-validation.*.json.gz", "multilingual/c4-lt-validation.*.json.gz", "multilingual/c4-lv-validation.*.json.gz", "multilingual/c4-mg-validation.*.json.gz", "multilingual/c4-mi-validation.*.json.gz", "multilingual/c4-mk-validation.*.json.gz", "multilingual/c4-ml-validation.*.json.gz", "multilingual/c4-mn-validation.*.json.gz", "multilingual/c4-mr-validation.*.json.gz", "multilingual/c4-ms-validation.*.json.gz", "multilingual/c4-mt-validation.*.json.gz", "multilingual/c4-my-validation.*.json.gz", "multilingual/c4-ne-validation.*.json.gz", "multilingual/c4-nl-validation.*.json.gz", "multilingual/c4-no-validation.*.json.gz", "multilingual/c4-ny-validation.*.json.gz", "multilingual/c4-pa-validation.*.json.gz", "multilingual/c4-pl-validation.*.json.gz", "multilingual/c4-ps-validation.*.json.gz", "multilingual/c4-pt-validation.*.json.gz", "multilingual/c4-ro-validation.*.json.gz", "multilingual/c4-ru-validation.*.json.gz", "multilingual/c4-ru-Latn-validation.*.json.gz", "multilingual/c4-sd-validation.*.json.gz", "multilingual/c4-si-validation.*.json.gz", "multilingual/c4-sk-validation.*.json.gz", "multilingual/c4-sl-validation.*.json.gz", "multilingual/c4-sm-validation.*.json.gz", "multilingual/c4-sn-validation.*.json.gz", "multilingual/c4-so-validation.*.json.gz", "multilingual/c4-sq-validation.*.json.gz", "multilingual/c4-sr-validation.*.json.gz", "multilingual/c4-st-validation.*.json.gz", "multilingual/c4-su-validation.*.json.gz", "multilingual/c4-sv-validation.*.json.gz", "multilingual/c4-sw-validation.*.json.gz", "multilingual/c4-ta-validation.*.json.gz", "multilingual/c4-te-validation.*.json.gz", "multilingual/c4-tg-validation.*.json.gz", "multilingual/c4-th-validation.*.json.gz", "multilingual/c4-tr-validation.*.json.gz", "multilingual/c4-uk-validation.*.json.gz", "multilingual/c4-und-validation.*.json.gz", "multilingual/c4-ur-validation.*.json.gz", "multilingual/c4-uz-validation.*.json.gz", "multilingual/c4-vi-validation.*.json.gz", "multilingual/c4-xh-validation.*.json.gz", "multilingual/c4-yi-validation.*.json.gz", "multilingual/c4-yo-validation.*.json.gz", "multilingual/c4-zh-validation.*.json.gz", "multilingual/c4-zh-Latn-validation.*.json.gz", "multilingual/c4-zu-validation.*.json.gz"]}]}, {"config_name": "af", "data_files": [{"split": "train", "path": "multilingual/c4-af.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-af-validation.*.json.gz"}]}, {"config_name": "am", "data_files": [{"split": "train", "path": "multilingual/c4-am.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-am-validation.*.json.gz"}]}, {"config_name": "ar", "data_files": [{"split": "train", "path": "multilingual/c4-ar.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ar-validation.*.json.gz"}]}, {"config_name": "az", "data_files": [{"split": "train", "path": "multilingual/c4-az.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-az-validation.*.json.gz"}]}, {"config_name": "be", "data_files": [{"split": "train", "path": "multilingual/c4-be.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-be-validation.*.json.gz"}]}, {"config_name": "bg", "data_files": [{"split": "train", "path": "multilingual/c4-bg.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-bg-validation.*.json.gz"}]}, {"config_name": "bg-Latn", "data_files": [{"split": "train", "path": "multilingual/c4-bg-Latn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-bg-Latn-validation.*.json.gz"}]}, {"config_name": "bn", "data_files": [{"split": "train", "path": "multilingual/c4-bn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-bn-validation.*.json.gz"}]}, {"config_name": "ca", "data_files": [{"split": "train", "path": "multilingual/c4-ca.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ca-validation.*.json.gz"}]}, {"config_name": "ceb", "data_files": [{"split": "train", "path": "multilingual/c4-ceb.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ceb-validation.*.json.gz"}]}, {"config_name": "co", "data_files": [{"split": "train", "path": "multilingual/c4-co.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-co-validation.*.json.gz"}]}, {"config_name": "cs", "data_files": [{"split": "train", "path": "multilingual/c4-cs.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-cs-validation.*.json.gz"}]}, {"config_name": "cy", "data_files": [{"split": "train", "path": "multilingual/c4-cy.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-cy-validation.*.json.gz"}]}, {"config_name": "da", "data_files": [{"split": "train", "path": "multilingual/c4-da.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-da-validation.*.json.gz"}]}, {"config_name": "de", "data_files": [{"split": "train", "path": "multilingual/c4-de.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-de-validation.*.json.gz"}]}, {"config_name": "el", "data_files": [{"split": "train", "path": "multilingual/c4-el.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-el-validation.*.json.gz"}]}, {"config_name": "el-Latn", "data_files": [{"split": "train", "path": "multilingual/c4-el-Latn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-el-Latn-validation.*.json.gz"}]}, {"config_name": "en-multi", "data_files": [{"split": "train", "path": "multilingual/c4-en.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-en-validation.*.json.gz"}]}, {"config_name": "eo", "data_files": [{"split": "train", "path": "multilingual/c4-eo.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-eo-validation.*.json.gz"}]}, {"config_name": "es", "data_files": [{"split": "train", "path": "multilingual/c4-es.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-es-validation.*.json.gz"}]}, {"config_name": "et", "data_files": [{"split": "train", "path": "multilingual/c4-et.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-et-validation.*.json.gz"}]}, {"config_name": "eu", "data_files": [{"split": "train", "path": "multilingual/c4-eu.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-eu-validation.*.json.gz"}]}, {"config_name": "fa", "data_files": [{"split": "train", "path": "multilingual/c4-fa.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-fa-validation.*.json.gz"}]}, {"config_name": "fi", "data_files": [{"split": "train", "path": "multilingual/c4-fi.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-fi-validation.*.json.gz"}]}, {"config_name": "fil", "data_files": [{"split": "train", "path": "multilingual/c4-fil.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-fil-validation.*.json.gz"}]}, {"config_name": "fr", "data_files": [{"split": "train", "path": "multilingual/c4-fr.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-fr-validation.*.json.gz"}]}, {"config_name": "fy", "data_files": [{"split": "train", "path": "multilingual/c4-fy.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-fy-validation.*.json.gz"}]}, {"config_name": "ga", "data_files": [{"split": "train", "path": "multilingual/c4-ga.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ga-validation.*.json.gz"}]}, {"config_name": "gd", "data_files": [{"split": "train", "path": "multilingual/c4-gd.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-gd-validation.*.json.gz"}]}, {"config_name": "gl", "data_files": [{"split": "train", "path": "multilingual/c4-gl.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-gl-validation.*.json.gz"}]}, {"config_name": "gu", "data_files": [{"split": "train", "path": "multilingual/c4-gu.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-gu-validation.*.json.gz"}]}, {"config_name": "ha", "data_files": [{"split": "train", "path": "multilingual/c4-ha.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ha-validation.*.json.gz"}]}, {"config_name": "haw", "data_files": [{"split": "train", "path": "multilingual/c4-haw.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-haw-validation.*.json.gz"}]}, {"config_name": "hi", "data_files": [{"split": "train", "path": "multilingual/c4-hi.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-hi-validation.*.json.gz"}]}, {"config_name": "hi-Latn", "data_files": [{"split": "train", "path": "multilingual/c4-hi-Latn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-hi-Latn-validation.*.json.gz"}]}, {"config_name": "hmn", "data_files": [{"split": "train", "path": "multilingual/c4-hmn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-hmn-validation.*.json.gz"}]}, {"config_name": "ht", "data_files": [{"split": "train", "path": "multilingual/c4-ht.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ht-validation.*.json.gz"}]}, {"config_name": "hu", "data_files": [{"split": "train", "path": "multilingual/c4-hu.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-hu-validation.*.json.gz"}]}, {"config_name": "hy", "data_files": [{"split": "train", "path": "multilingual/c4-hy.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-hy-validation.*.json.gz"}]}, {"config_name": "id", "data_files": [{"split": "train", "path": "multilingual/c4-id.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-id-validation.*.json.gz"}]}, {"config_name": "ig", "data_files": [{"split": "train", "path": "multilingual/c4-ig.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ig-validation.*.json.gz"}]}, {"config_name": "is", "data_files": [{"split": "train", "path": "multilingual/c4-is.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-is-validation.*.json.gz"}]}, {"config_name": "it", "data_files": [{"split": "train", "path": "multilingual/c4-it.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-it-validation.*.json.gz"}]}, {"config_name": "iw", "data_files": [{"split": "train", "path": "multilingual/c4-iw.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-iw-validation.*.json.gz"}]}, {"config_name": "ja", "data_files": [{"split": "train", "path": "multilingual/c4-ja.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ja-validation.*.json.gz"}]}, {"config_name": "ja-Latn", "data_files": [{"split": "train", "path": "multilingual/c4-ja-Latn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ja-Latn-validation.*.json.gz"}]}, {"config_name": "jv", "data_files": [{"split": "train", "path": "multilingual/c4-jv.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-jv-validation.*.json.gz"}]}, {"config_name": "ka", "data_files": [{"split": "train", "path": "multilingual/c4-ka.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ka-validation.*.json.gz"}]}, {"config_name": "kk", "data_files": [{"split": "train", "path": "multilingual/c4-kk.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-kk-validation.*.json.gz"}]}, {"config_name": "km", "data_files": [{"split": "train", "path": "multilingual/c4-km.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-km-validation.*.json.gz"}]}, {"config_name": "kn", "data_files": [{"split": "train", "path": "multilingual/c4-kn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-kn-validation.*.json.gz"}]}, {"config_name": "ko", "data_files": [{"split": "train", "path": "multilingual/c4-ko.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ko-validation.*.json.gz"}]}, {"config_name": "ku", "data_files": [{"split": "train", "path": "multilingual/c4-ku.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ku-validation.*.json.gz"}]}, {"config_name": "ky", "data_files": [{"split": "train", "path": "multilingual/c4-ky.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ky-validation.*.json.gz"}]}, {"config_name": "la", "data_files": [{"split": "train", "path": "multilingual/c4-la.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-la-validation.*.json.gz"}]}, {"config_name": "lb", "data_files": [{"split": "train", "path": "multilingual/c4-lb.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-lb-validation.*.json.gz"}]}, {"config_name": "lo", "data_files": [{"split": "train", "path": "multilingual/c4-lo.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-lo-validation.*.json.gz"}]}, {"config_name": "lt", "data_files": [{"split": "train", "path": "multilingual/c4-lt.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-lt-validation.*.json.gz"}]}, {"config_name": "lv", "data_files": [{"split": "train", "path": "multilingual/c4-lv.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-lv-validation.*.json.gz"}]}, {"config_name": "mg", "data_files": [{"split": "train", "path": "multilingual/c4-mg.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-mg-validation.*.json.gz"}]}, {"config_name": "mi", "data_files": [{"split": "train", "path": "multilingual/c4-mi.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-mi-validation.*.json.gz"}]}, {"config_name": "mk", "data_files": [{"split": "train", "path": "multilingual/c4-mk.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-mk-validation.*.json.gz"}]}, {"config_name": "ml", "data_files": [{"split": "train", "path": "multilingual/c4-ml.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ml-validation.*.json.gz"}]}, {"config_name": "mn", "data_files": [{"split": "train", "path": "multilingual/c4-mn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-mn-validation.*.json.gz"}]}, {"config_name": "mr", "data_files": [{"split": "train", "path": "multilingual/c4-mr.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-mr-validation.*.json.gz"}]}, {"config_name": "ms", "data_files": [{"split": "train", "path": "multilingual/c4-ms.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ms-validation.*.json.gz"}]}, {"config_name": "mt", "data_files": [{"split": "train", "path": "multilingual/c4-mt.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-mt-validation.*.json.gz"}]}, {"config_name": "my", "data_files": [{"split": "train", "path": "multilingual/c4-my.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-my-validation.*.json.gz"}]}, {"config_name": "ne", "data_files": [{"split": "train", "path": "multilingual/c4-ne.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ne-validation.*.json.gz"}]}, {"config_name": "nl", "data_files": [{"split": "train", "path": "multilingual/c4-nl.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-nl-validation.*.json.gz"}]}, {"config_name": "no", "data_files": [{"split": "train", "path": "multilingual/c4-no.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-no-validation.*.json.gz"}]}, {"config_name": "ny", "data_files": [{"split": "train", "path": "multilingual/c4-ny.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ny-validation.*.json.gz"}]}, {"config_name": "pa", "data_files": [{"split": "train", "path": "multilingual/c4-pa.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-pa-validation.*.json.gz"}]}, {"config_name": "pl", "data_files": [{"split": "train", "path": "multilingual/c4-pl.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-pl-validation.*.json.gz"}]}, {"config_name": "ps", "data_files": [{"split": "train", "path": "multilingual/c4-ps.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ps-validation.*.json.gz"}]}, {"config_name": "pt", "data_files": [{"split": "train", "path": "multilingual/c4-pt.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-pt-validation.*.json.gz"}]}, {"config_name": "ro", "data_files": [{"split": "train", "path": "multilingual/c4-ro.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ro-validation.*.json.gz"}]}, {"config_name": "ru", "data_files": [{"split": "train", "path": "multilingual/c4-ru.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ru-validation.*.json.gz"}]}, {"config_name": "ru-Latn", "data_files": [{"split": "train", "path": "multilingual/c4-ru-Latn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ru-Latn-validation.*.json.gz"}]}, {"config_name": "sd", "data_files": [{"split": "train", "path": "multilingual/c4-sd.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-sd-validation.*.json.gz"}]}, {"config_name": "si", "data_files": [{"split": "train", "path": "multilingual/c4-si.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-si-validation.*.json.gz"}]}, {"config_name": "sk", "data_files": [{"split": "train", "path": "multilingual/c4-sk.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-sk-validation.*.json.gz"}]}, {"config_name": "sl", "data_files": [{"split": "train", "path": "multilingual/c4-sl.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-sl-validation.*.json.gz"}]}, {"config_name": "sm", "data_files": [{"split": "train", "path": "multilingual/c4-sm.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-sm-validation.*.json.gz"}]}, {"config_name": "sn", "data_files": [{"split": "train", "path": "multilingual/c4-sn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-sn-validation.*.json.gz"}]}, {"config_name": "so", "data_files": [{"split": "train", "path": "multilingual/c4-so.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-so-validation.*.json.gz"}]}, {"config_name": "sq", "data_files": [{"split": "train", "path": "multilingual/c4-sq.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-sq-validation.*.json.gz"}]}, {"config_name": "sr", "data_files": [{"split": "train", "path": "multilingual/c4-sr.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-sr-validation.*.json.gz"}]}, {"config_name": "st", "data_files": [{"split": "train", "path": "multilingual/c4-st.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-st-validation.*.json.gz"}]}, {"config_name": "su", "data_files": [{"split": "train", "path": "multilingual/c4-su.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-su-validation.*.json.gz"}]}, {"config_name": "sv", "data_files": [{"split": "train", "path": "multilingual/c4-sv.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-sv-validation.*.json.gz"}]}, {"config_name": "sw", "data_files": [{"split": "train", "path": "multilingual/c4-sw.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-sw-validation.*.json.gz"}]}, {"config_name": "ta", "data_files": [{"split": "train", "path": "multilingual/c4-ta.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ta-validation.*.json.gz"}]}, {"config_name": "te", "data_files": [{"split": "train", "path": "multilingual/c4-te.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-te-validation.*.json.gz"}]}, {"config_name": "tg", "data_files": [{"split": "train", "path": "multilingual/c4-tg.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-tg-validation.*.json.gz"}]}, {"config_name": "th", "data_files": [{"split": "train", "path": "multilingual/c4-th.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-th-validation.*.json.gz"}]}, {"config_name": "tr", "data_files": [{"split": "train", "path": "multilingual/c4-tr.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-tr-validation.*.json.gz"}]}, {"config_name": "uk", "data_files": [{"split": "train", "path": "multilingual/c4-uk.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-uk-validation.*.json.gz"}]}, {"config_name": "und", "data_files": [{"split": "train", "path": "multilingual/c4-und.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-und-validation.*.json.gz"}]}, {"config_name": "ur", "data_files": [{"split": "train", "path": "multilingual/c4-ur.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-ur-validation.*.json.gz"}]}, {"config_name": "uz", "data_files": [{"split": "train", "path": "multilingual/c4-uz.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-uz-validation.*.json.gz"}]}, {"config_name": "vi", "data_files": [{"split": "train", "path": "multilingual/c4-vi.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-vi-validation.*.json.gz"}]}, {"config_name": "xh", "data_files": [{"split": "train", "path": "multilingual/c4-xh.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-xh-validation.*.json.gz"}]}, {"config_name": "yi", "data_files": [{"split": "train", "path": "multilingual/c4-yi.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-yi-validation.*.json.gz"}]}, {"config_name": "yo", "data_files": [{"split": "train", "path": "multilingual/c4-yo.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-yo-validation.*.json.gz"}]}, {"config_name": "zh", "data_files": [{"split": "train", "path": "multilingual/c4-zh.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-zh-validation.*.json.gz"}]}, {"config_name": "zh-Latn", "data_files": [{"split": "train", "path": "multilingual/c4-zh-Latn.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-zh-Latn-validation.*.json.gz"}]}, {"config_name": "zu", "data_files": [{"split": "train", "path": "multilingual/c4-zu.*.json.gz"}, {"split": "validation", "path": "multilingual/c4-zu-validation.*.json.gz"}]}]}

1588ec454efa1a09f29cd18ddd04fe05fc8653a2

C4 Dataset Summary A colossal, cleaned version of Common Crawl's web crawl corpus. Based on Common Crawl dataset: "https://commoncrawl.org". This is the processed version of Google's C4 dataset We prepared five variants of the data: en, en.noclean, en.noblocklist, realnewslike, and multilingual (mC4). For reference, these are the sizes of the variants: en: 305GB en.noclean: 2.3TB en.noblocklist: 380GB realnewslike: 15GB multilingual (mC4): 9.7TB (108 subsets, one… See the full description on the dataset page: https://huggingface.co./datasets/allenai/c4.

c4

621ffdd236468d709f183300

facebook/multilingual_librispeech

facebook

{"annotations_creators": ["expert-generated"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["de", "nl", "fr", "it", "es", "pt", "pl", "en"], "license": ["cc-by-4.0"], "multilinguality": ["multilingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition", "text-to-speech", "text-to-audio"], "paperswithcode_id": "multilingual-librispeech", "pretty_name": "MultiLingual LibriSpeech", "dataset_info": [{"config_name": "dutch", "features": [{"name": "audio", "dtype": "audio"}, {"name": "original_path", "dtype": "string"}, {"name": "begin_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcript", "dtype": "string"}, {"name": "audio_duration", "dtype": "float64"}, {"name": "speaker_id", "dtype": "string"}, {"name": "chapter_id", "dtype": "string"}, {"name": "file", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 199959986, "num_examples": 3095}, {"name": "test", "num_bytes": 199298575, "num_examples": 3075}, {"name": "train", "num_bytes": 23931679031, "num_examples": 374287}, {"name": "9_hours", "num_bytes": 139884664.668, "num_examples": 2153}, {"name": "1_hours", "num_bytes": 15462181, "num_examples": 234}], "download_size": 24376256629, "dataset_size": 24486284437.668}, {"config_name": "french", "features": [{"name": "audio", "dtype": "audio"}, {"name": "original_path", "dtype": "string"}, {"name": "begin_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcript", "dtype": "string"}, {"name": "audio_duration", "dtype": "float64"}, {"name": "speaker_id", "dtype": "string"}, {"name": "chapter_id", "dtype": "string"}, {"name": "file", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 157923970.696, "num_examples": 2416}, {"name": "test", "num_bytes": 158352158.582, "num_examples": 2426}, {"name": "train", "num_bytes": 16984935842.04, "num_examples": 258213}, {"name": "9_hours", "num_bytes": 142796680.609, "num_examples": 2167}, {"name": "1_hours", "num_bytes": 15675831, "num_examples": 241}], "download_size": 17381581776, "dataset_size": 17459684482.927002}, {"config_name": "german", "features": [{"name": "audio", "dtype": "audio"}, {"name": "original_path", "dtype": "string"}, {"name": "begin_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcript", "dtype": "string"}, {"name": "audio_duration", "dtype": "float64"}, {"name": "speaker_id", "dtype": "string"}, {"name": "chapter_id", "dtype": "string"}, {"name": "file", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 224293581.302, "num_examples": 3469}, {"name": "test", "num_bytes": 225756069.096, "num_examples": 3394}, {"name": "train", "num_bytes": 31050881388, "num_examples": 469942}, {"name": "9_hours", "num_bytes": 142777983.118, "num_examples": 2194}, {"name": "1_hours", "num_bytes": 15714704, "num_examples": 241}], "download_size": 31526161821, "dataset_size": 31659423725.516}, {"config_name": "italian", "features": [{"name": "audio", "dtype": "audio"}, {"name": "original_path", "dtype": "string"}, {"name": "begin_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcript", "dtype": "string"}, {"name": "audio_duration", "dtype": "float64"}, {"name": "speaker_id", "dtype": "string"}, {"name": "chapter_id", "dtype": "string"}, {"name": "file", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 81607596.048, "num_examples": 1248}, {"name": "test", "num_bytes": 83216752.046, "num_examples": 1262}, {"name": "train", "num_bytes": 3896742625, "num_examples": 59623}, {"name": "9_hours", "num_bytes": 141671904.428, "num_examples": 2173}, {"name": "1_hours", "num_bytes": 15560398, "num_examples": 240}], "download_size": 4200633596, "dataset_size": 4218799275.522}, {"config_name": "polish", "features": [{"name": "audio", "dtype": "audio"}, {"name": "original_path", "dtype": "string"}, {"name": "begin_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcript", "dtype": "string"}, {"name": "audio_duration", "dtype": "float64"}, {"name": "speaker_id", "dtype": "string"}, {"name": "chapter_id", "dtype": "string"}, {"name": "file", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 32746725, "num_examples": 512}, {"name": "test", "num_bytes": 33735044, "num_examples": 520}, {"name": "train", "num_bytes": 1638889846, "num_examples": 25043}, {"name": "9_hours", "num_bytes": 142005461, "num_examples": 2173}, {"name": "1_hours", "num_bytes": 15681216, "num_examples": 238}], "download_size": 1855342312, "dataset_size": 1863058292}, {"config_name": "portuguese", "features": [{"name": "audio", "dtype": "audio"}, {"name": "original_path", "dtype": "string"}, {"name": "begin_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcript", "dtype": "string"}, {"name": "audio_duration", "dtype": "float64"}, {"name": "speaker_id", "dtype": "string"}, {"name": "chapter_id", "dtype": "string"}, {"name": "file", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 57533473, "num_examples": 826}, {"name": "test", "num_bytes": 59141979, "num_examples": 871}, {"name": "train", "num_bytes": 2518553713.946, "num_examples": 37533}, {"name": "9_hours", "num_bytes": 141641902.42, "num_examples": 2116}, {"name": "1_hours", "num_bytes": 15697139, "num_examples": 236}], "download_size": 2780836500, "dataset_size": 2792568207.366}, {"config_name": "spanish", "features": [{"name": "audio", "dtype": "audio"}, {"name": "original_path", "dtype": "string"}, {"name": "begin_time", "dtype": "float64"}, {"name": "end_time", "dtype": "float64"}, {"name": "transcript", "dtype": "string"}, {"name": "audio_duration", "dtype": "float64"}, {"name": "speaker_id", "dtype": "string"}, {"name": "chapter_id", "dtype": "string"}, {"name": "file", "dtype": "string"}, {"name": "id", "dtype": "string"}], "splits": [{"name": "dev", "num_bytes": 157804903.144, "num_examples": 2408}, {"name": "test", "num_bytes": 158526899.32, "num_examples": 2385}, {"name": "train", "num_bytes": 14562584188, "num_examples": 220701}, {"name": "9_hours", "num_bytes": 142473624.48, "num_examples": 2110}, {"name": "1_hours", "num_bytes": 15702048, "num_examples": 233}], "download_size": 14971394533, "dataset_size": 15037091662.944}], "configs": [{"config_name": "dutch", "data_files": [{"split": "dev", "path": "dutch/dev-*"}, {"split": "test", "path": "dutch/test-*"}, {"split": "train", "path": "dutch/train-*"}, {"split": "9_hours", "path": "dutch/9_hours-*"}, {"split": "1_hours", "path": "dutch/1_hours-*"}]}, {"config_name": "french", "data_files": [{"split": "dev", "path": "french/dev-*"}, {"split": "test", "path": "french/test-*"}, {"split": "train", "path": "french/train-*"}, {"split": "9_hours", "path": "french/9_hours-*"}, {"split": "1_hours", "path": "french/1_hours-*"}]}, {"config_name": "german", "data_files": [{"split": "dev", "path": "german/dev-*"}, {"split": "test", "path": "german/test-*"}, {"split": "train", "path": "german/train-*"}, {"split": "9_hours", "path": "german/9_hours-*"}, {"split": "1_hours", "path": "german/1_hours-*"}]}, {"config_name": "italian", "data_files": [{"split": "dev", "path": "italian/dev-*"}, {"split": "test", "path": "italian/test-*"}, {"split": "train", "path": "italian/train-*"}, {"split": "9_hours", "path": "italian/9_hours-*"}, {"split": "1_hours", "path": "italian/1_hours-*"}]}, {"config_name": "polish", "data_files": [{"split": "dev", "path": "polish/dev-*"}, {"split": "test", "path": "polish/test-*"}, {"split": "train", "path": "polish/train-*"}, {"split": "9_hours", "path": "polish/9_hours-*"}, {"split": "1_hours", "path": "polish/1_hours-*"}]}, {"config_name": "portuguese", "data_files": [{"split": "dev", "path": "portuguese/dev-*"}, {"split": "test", "path": "portuguese/test-*"}, {"split": "train", "path": "portuguese/train-*"}, {"split": "9_hours", "path": "portuguese/9_hours-*"}, {"split": "1_hours", "path": "portuguese/1_hours-*"}]}, {"config_name": "spanish", "data_files": [{"split": "dev", "path": "spanish/dev-*"}, {"split": "test", "path": "spanish/test-*"}, {"split": "train", "path": "spanish/train-*"}, {"split": "9_hours", "path": "spanish/9_hours-*"}, {"split": "1_hours", "path": "spanish/1_hours-*"}]}]}

2e83e61823b4c47dcbcb1980bb88601274127609

Dataset Card for MultiLingual LibriSpeech Dataset Summary This is a streamable version of the Multilingual LibriSpeech (MLS) dataset. The data archives were restructured from the original ones from OpenSLR to make it easier to stream. MLS dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish.… See the full description on the dataset page: https://huggingface.co./datasets/facebook/multilingual_librispeech.

multilingual-librispeech

621ffdd236468d709f183f23

sentence-transformers/embedding-training-data

sentence-transformers

{"language": ["en"], "task_categories": ["feature-extraction"]}

015d73e06b0686135d4d8340b1c68177d204b412

Training Data for Text Embedding Models This repository contains raw datasets, all of which have also been formatted for easy training in the Embedding Model Datasets collection. We recommend looking there first. This repository contains training files to train text embedding models, e.g. using sentence-transformers. Data Format All files are in a jsonl.gz format: Each line contains a JSON-object that represent one training example. The JSON objects can come in… See the full description on the dataset page: https://huggingface.co./datasets/sentence-transformers/embedding-training-data.

624d6002300264d00b63aceb

huggan/wikiart

huggan

{"license": "unknown", "license_details": "Data files \u00a9 Original Authors", "size_categories": ["10K<n<100K"], "task_categories": ["image-classification", "text-to-image", "image-to-text"], "tags": ["art"]}

d559852d2b232e0fcf195e775866964f0564f2b5

Dataset Summary Dataset containing 81,444 pieces of visual art from various artists, taken from WikiArt.org, along with class labels for each image : "artist" : 129 artist classes, including a "Unknown Artist" class "genre" : 11 genre classes, including a "Unknown Genre" class "style" : 27 style classes On WikiArt.org, the description for the "Artworks by Genre" page reads : A genre system divides artworks according to depicted themes and objects. A classical hierarchy of… See the full description on the dataset page: https://huggingface.co./datasets/huggan/wikiart.

627007d3becab9e2dcf15a40

ILSVRC/imagenet-1k

ILSVRC

{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["other"], "license_details": "imagenet-agreement", "multilinguality": ["monolingual"], "paperswithcode_id": "imagenet-1k-1", "pretty_name": "ImageNet", "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classification"], "extra_gated_prompt": "By clicking on \u201cAccess repository\u201d below, you also agree to ImageNet Terms of Access:\n[RESEARCHER_FULLNAME] (the \"Researcher\") has requested permission to use the ImageNet database (the \"Database\") at Princeton University and Stanford University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:\n1. Researcher shall use the Database only for non-commercial research and educational purposes.\n2. Princeton University, Stanford University and Hugging Face make no representations or warranties regarding the Database, including but not limited to warranties of non-infringement or fitness for a particular purpose.\n3. Researcher accepts full responsibility for his or her use of the Database and shall defend and indemnify the ImageNet team, Princeton University, Stanford University and Hugging Face, including their employees, Trustees, officers and agents, against any and all claims arising from Researcher's use of the Database, including but not limited to Researcher's use of any copies of copyrighted images that he or she may create from the Database.\n4. Researcher may provide research associates and colleagues with access to the Database provided that they first agree to be bound by these terms and conditions.\n5. Princeton University, Stanford University and Hugging Face reserve the right to terminate Researcher's access to the Database at any time.\n6. If Researcher is employed by a for-profit, commercial entity, Researcher's employer shall also be bound by these terms and conditions, and Researcher hereby represents that he or she is fully authorized to enter into this agreement on behalf of such employer.\n7. The law of the State of New Jersey shall apply to all disputes under this agreement.", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "tench, Tinca tinca", "1": "goldfish, Carassius auratus", "2": "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias", "3": "tiger shark, Galeocerdo cuvieri", "4": "hammerhead, hammerhead shark", "5": "electric ray, crampfish, numbfish, torpedo", "6": "stingray", "7": "cock", "8": "hen", "9": "ostrich, Struthio camelus", "10": "brambling, Fringilla montifringilla", "11": "goldfinch, Carduelis carduelis", "12": "house finch, linnet, Carpodacus mexicanus", "13": "junco, snowbird", "14": "indigo bunting, indigo finch, indigo bird, Passerina cyanea", "15": "robin, American robin, Turdus migratorius", "16": "bulbul", "17": "jay", "18": "magpie", "19": "chickadee", "20": "water ouzel, dipper", "21": "kite", "22": "bald eagle, American eagle, Haliaeetus leucocephalus", "23": "vulture", "24": "great grey owl, great gray owl, Strix nebulosa", "25": "European fire salamander, Salamandra salamandra", "26": "common newt, Triturus vulgaris", "27": "eft", "28": "spotted salamander, Ambystoma maculatum", "29": "axolotl, mud puppy, Ambystoma mexicanum", "30": "bullfrog, Rana catesbeiana", "31": "tree frog, tree-frog", "32": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui", "33": "loggerhead, loggerhead turtle, Caretta caretta", "34": "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea", "35": "mud turtle", "36": "terrapin", "37": "box turtle, box tortoise", "38": "banded gecko", "39": "common iguana, iguana, Iguana iguana", "40": "American chameleon, anole, Anolis carolinensis", "41": "whiptail, whiptail lizard", "42": "agama", "43": "frilled lizard, Chlamydosaurus kingi", "44": "alligator lizard", "45": "Gila monster, Heloderma suspectum", "46": "green lizard, Lacerta viridis", "47": "African chameleon, Chamaeleo chamaeleon", "48": "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis", "49": "African crocodile, Nile crocodile, Crocodylus niloticus", "50": "American alligator, Alligator mississipiensis", "51": "triceratops", "52": "thunder snake, worm snake, Carphophis amoenus", "53": "ringneck snake, ring-necked snake, ring snake", "54": "hognose snake, puff adder, sand viper", "55": "green snake, grass snake", "56": "king snake, kingsnake", "57": "garter snake, grass snake", "58": "water snake", "59": "vine snake", "60": "night snake, Hypsiglena torquata", "61": "boa constrictor, Constrictor constrictor", "62": "rock python, rock snake, Python sebae", "63": "Indian cobra, Naja naja", "64": "green mamba", "65": "sea snake", "66": "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus", "67": "diamondback, diamondback rattlesnake, Crotalus adamanteus", "68": "sidewinder, horned rattlesnake, Crotalus cerastes", "69": "trilobite", "70": "harvestman, daddy longlegs, Phalangium opilio", "71": "scorpion", "72": "black and gold garden spider, Argiope aurantia", "73": "barn spider, Araneus cavaticus", "74": "garden spider, Aranea diademata", "75": "black widow, Latrodectus mactans", "76": "tarantula", "77": "wolf spider, hunting spider", "78": "tick", "79": "centipede", "80": "black grouse", "81": "ptarmigan", "82": "ruffed grouse, partridge, Bonasa umbellus", "83": "prairie chicken, prairie grouse, prairie fowl", "84": "peacock", "85": "quail", "86": "partridge", "87": "African grey, African gray, Psittacus erithacus", "88": "macaw", "89": "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita", "90": "lorikeet", "91": "coucal", "92": "bee eater", "93": "hornbill", "94": "hummingbird", "95": "jacamar", "96": "toucan", "97": "drake", "98": "red-breasted merganser, Mergus serrator", "99": "goose", "100": "black swan, Cygnus atratus", "101": "tusker", "102": "echidna, spiny anteater, anteater", "103": "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus", "104": "wallaby, brush kangaroo", "105": "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus", "106": "wombat", "107": "jellyfish", "108": "sea anemone, anemone", "109": "brain coral", "110": "flatworm, platyhelminth", "111": "nematode, nematode worm, roundworm", "112": "conch", "113": "snail", "114": "slug", "115": "sea slug, nudibranch", "116": "chiton, coat-of-mail shell, sea cradle, polyplacophore", "117": "chambered nautilus, pearly nautilus, nautilus", "118": "Dungeness crab, Cancer magister", "119": "rock crab, Cancer irroratus", "120": "fiddler crab", "121": "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica", "122": "American lobster, Northern lobster, Maine lobster, Homarus americanus", "123": "spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish", "124": "crayfish, crawfish, crawdad, crawdaddy", "125": "hermit crab", "126": "isopod", "127": "white stork, Ciconia ciconia", "128": "black stork, Ciconia nigra", "129": "spoonbill", "130": "flamingo", "131": "little blue heron, Egretta caerulea", "132": "American egret, great white heron, Egretta albus", "133": "bittern", "134": "crane", "135": "limpkin, Aramus pictus", "136": "European gallinule, Porphyrio porphyrio", "137": "American coot, marsh hen, mud hen, water hen, Fulica americana", "138": "bustard", "139": "ruddy turnstone, Arenaria interpres", "140": "red-backed sandpiper, dunlin, Erolia alpina", "141": "redshank, Tringa totanus", "142": "dowitcher", "143": "oystercatcher, oyster catcher", "144": "pelican", "145": "king penguin, Aptenodytes patagonica", "146": "albatross, mollymawk", "147": "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus", "148": "killer whale, killer, orca, grampus, sea wolf, Orcinus orca", "149": "dugong, Dugong dugon", "150": "sea lion", "151": "Chihuahua", "152": "Japanese spaniel", "153": "Maltese dog, Maltese terrier, Maltese", "154": "Pekinese, Pekingese, Peke", "155": "Shih-Tzu", "156": "Blenheim spaniel", "157": "papillon", "158": "toy terrier", "159": "Rhodesian ridgeback", "160": "Afghan hound, Afghan", "161": "basset, basset hound", "162": "beagle", "163": "bloodhound, sleuthhound", "164": "bluetick", "165": "black-and-tan coonhound", "166": "Walker hound, Walker foxhound", "167": "English foxhound", "168": "redbone", "169": "borzoi, Russian wolfhound", "170": "Irish wolfhound", "171": "Italian greyhound", "172": "whippet", "173": "Ibizan hound, Ibizan Podenco", "174": "Norwegian elkhound, elkhound", "175": "otterhound, otter hound", "176": "Saluki, gazelle hound", "177": "Scottish deerhound, deerhound", "178": "Weimaraner", "179": "Staffordshire bullterrier, Staffordshire bull terrier", "180": "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier", "181": "Bedlington terrier", "182": "Border terrier", "183": "Kerry blue terrier", "184": "Irish terrier", "185": "Norfolk terrier", "186": "Norwich terrier", "187": "Yorkshire terrier", "188": "wire-haired fox terrier", "189": "Lakeland terrier", "190": "Sealyham terrier, Sealyham", "191": "Airedale, Airedale terrier", "192": "cairn, cairn terrier", "193": "Australian terrier", "194": "Dandie Dinmont, Dandie Dinmont terrier", "195": "Boston bull, Boston terrier", "196": "miniature schnauzer", "197": "giant schnauzer", "198": "standard schnauzer", "199": "Scotch terrier, Scottish terrier, Scottie", "200": "Tibetan terrier, chrysanthemum dog", "201": "silky terrier, Sydney silky", "202": "soft-coated wheaten terrier", "203": "West Highland white terrier", "204": "Lhasa, Lhasa apso", "205": "flat-coated retriever", "206": "curly-coated retriever", "207": "golden retriever", "208": "Labrador retriever", "209": "Chesapeake Bay retriever", "210": "German short-haired pointer", "211": "vizsla, Hungarian pointer", "212": "English setter", "213": "Irish setter, red setter", "214": "Gordon setter", "215": "Brittany spaniel", "216": "clumber, clumber spaniel", "217": "English springer, English springer spaniel", "218": "Welsh springer spaniel", "219": "cocker spaniel, English cocker spaniel, cocker", "220": "Sussex spaniel", "221": "Irish water spaniel", "222": "kuvasz", "223": "schipperke", "224": "groenendael", "225": "malinois", "226": "briard", "227": "kelpie", "228": "komondor", "229": "Old English sheepdog, bobtail", "230": "Shetland sheepdog, Shetland sheep dog, Shetland", "231": "collie", "232": "Border collie", "233": "Bouvier des Flandres, Bouviers des Flandres", "234": "Rottweiler", "235": "German shepherd, German shepherd dog, German police dog, alsatian", "236": "Doberman, Doberman pinscher", "237": "miniature pinscher", "238": "Greater Swiss Mountain dog", "239": "Bernese mountain dog", "240": "Appenzeller", "241": "EntleBucher", "242": "boxer", "243": "bull mastiff", "244": "Tibetan mastiff", "245": "French bulldog", "246": "Great Dane", "247": "Saint Bernard, St Bernard", "248": "Eskimo dog, husky", "249": "malamute, malemute, Alaskan malamute", "250": "Siberian husky", "251": "dalmatian, coach dog, carriage dog", "252": "affenpinscher, monkey pinscher, monkey dog", "253": "basenji", "254": "pug, pug-dog", "255": "Leonberg", "256": "Newfoundland, Newfoundland dog", "257": "Great Pyrenees", "258": "Samoyed, Samoyede", "259": "Pomeranian", "260": "chow, chow chow", "261": "keeshond", "262": "Brabancon griffon", "263": "Pembroke, Pembroke Welsh corgi", "264": "Cardigan, Cardigan Welsh corgi", "265": "toy poodle", "266": "miniature poodle", "267": "standard poodle", "268": "Mexican hairless", "269": "timber wolf, grey wolf, gray wolf, Canis lupus", "270": "white wolf, Arctic wolf, Canis lupus tundrarum", "271": "red wolf, maned wolf, Canis rufus, Canis niger", "272": "coyote, prairie wolf, brush wolf, Canis latrans", "273": "dingo, warrigal, warragal, Canis dingo", "274": "dhole, Cuon alpinus", "275": "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus", "276": "hyena, hyaena", "277": "red fox, Vulpes vulpes", "278": "kit fox, Vulpes macrotis", "279": "Arctic fox, white fox, Alopex lagopus", "280": "grey fox, gray fox, Urocyon cinereoargenteus", "281": "tabby, tabby cat", "282": "tiger cat", "283": "Persian cat", "284": "Siamese cat, Siamese", "285": "Egyptian cat", "286": "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor", "287": "lynx, catamount", "288": "leopard, Panthera pardus", "289": "snow leopard, ounce, Panthera uncia", "290": "jaguar, panther, Panthera onca, Felis onca", "291": "lion, king of beasts, Panthera leo", "292": "tiger, Panthera tigris", "293": "cheetah, chetah, Acinonyx jubatus", "294": "brown bear, bruin, Ursus arctos", "295": "American black bear, black bear, Ursus americanus, Euarctos americanus", "296": "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus", "297": "sloth bear, Melursus ursinus, Ursus ursinus", "298": "mongoose", "299": "meerkat, mierkat", "300": "tiger beetle", "301": "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle", "302": "ground beetle, carabid beetle", "303": "long-horned beetle, longicorn, longicorn beetle", "304": "leaf beetle, chrysomelid", "305": "dung beetle", "306": "rhinoceros beetle", "307": "weevil", "308": "fly", "309": "bee", "310": "ant, emmet, pismire", "311": "grasshopper, hopper", "312": "cricket", "313": "walking stick, walkingstick, stick insect", "314": "cockroach, roach", "315": "mantis, mantid", "316": "cicada, cicala", "317": "leafhopper", "318": "lacewing, lacewing fly", "319": "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk", "320": "damselfly", "321": "admiral", "322": "ringlet, ringlet butterfly", "323": "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus", "324": "cabbage butterfly", "325": "sulphur butterfly, sulfur butterfly", "326": "lycaenid, lycaenid butterfly", "327": "starfish, sea star", "328": "sea urchin", "329": "sea cucumber, holothurian", "330": "wood rabbit, cottontail, cottontail rabbit", "331": "hare", "332": "Angora, Angora rabbit", "333": "hamster", "334": "porcupine, hedgehog", "335": "fox squirrel, eastern fox squirrel, Sciurus niger", "336": "marmot", "337": "beaver", "338": "guinea pig, Cavia cobaya", "339": "sorrel", "340": "zebra", "341": "hog, pig, grunter, squealer, Sus scrofa", "342": "wild boar, boar, Sus scrofa", "343": "warthog", "344": "hippopotamus, hippo, river horse, Hippopotamus amphibius", "345": "ox", "346": "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis", "347": "bison", "348": "ram, tup", "349": "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis", "350": "ibex, Capra ibex", "351": "hartebeest", "352": "impala, Aepyceros melampus", "353": "gazelle", "354": "Arabian camel, dromedary, Camelus dromedarius", "355": "llama", "356": "weasel", "357": "mink", "358": "polecat, fitch, foulmart, foumart, Mustela putorius", "359": "black-footed ferret, ferret, Mustela nigripes", "360": "otter", "361": "skunk, polecat, wood pussy", "362": "badger", "363": "armadillo", "364": "three-toed sloth, ai, Bradypus tridactylus", "365": "orangutan, orang, orangutang, Pongo pygmaeus", "366": "gorilla, Gorilla gorilla", "367": "chimpanzee, chimp, Pan troglodytes", "368": "gibbon, Hylobates lar", "369": "siamang, Hylobates syndactylus, Symphalangus syndactylus", "370": "guenon, guenon monkey", "371": "patas, hussar monkey, Erythrocebus patas", "372": "baboon", "373": "macaque", "374": "langur", "375": "colobus, colobus monkey", "376": "proboscis monkey, Nasalis larvatus", "377": "marmoset", "378": "capuchin, ringtail, Cebus capucinus", "379": "howler monkey, howler", "380": "titi, titi monkey", "381": "spider monkey, Ateles geoffroyi", "382": "squirrel monkey, Saimiri sciureus", "383": "Madagascar cat, ring-tailed lemur, Lemur catta", "384": "indri, indris, Indri indri, Indri brevicaudatus", "385": "Indian elephant, Elephas maximus", "386": "African elephant, Loxodonta africana", "387": "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens", "388": "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca", "389": "barracouta, snoek", "390": "eel", "391": "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch", "392": "rock beauty, Holocanthus tricolor", "393": "anemone fish", "394": "sturgeon", "395": "gar, garfish, garpike, billfish, Lepisosteus osseus", "396": "lionfish", "397": "puffer, pufferfish, blowfish, globefish", "398": "abacus", "399": "abaya", "400": "academic gown, academic robe, judge's robe", "401": "accordion, piano accordion, squeeze box", "402": "acoustic guitar", "403": "aircraft carrier, carrier, flattop, attack aircraft carrier", "404": "airliner", "405": "airship, dirigible", "406": "altar", "407": "ambulance", "408": "amphibian, amphibious vehicle", "409": "analog clock", "410": "apiary, bee house", "411": "apron", "412": "ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin", "413": "assault rifle, assault gun", "414": "backpack, back pack, knapsack, packsack, rucksack, haversack", "415": "bakery, bakeshop, bakehouse", "416": "balance beam, beam", "417": "balloon", "418": "ballpoint, ballpoint pen, ballpen, Biro", "419": "Band Aid", "420": "banjo", "421": "bannister, banister, balustrade, balusters, handrail", "422": "barbell", "423": "barber chair", "424": "barbershop", "425": "barn", "426": "barometer", "427": "barrel, cask", "428": "barrow, garden cart, lawn cart, wheelbarrow", "429": "baseball", "430": "basketball", "431": "bassinet", "432": "bassoon", "433": "bathing cap, swimming cap", "434": "bath towel", "435": "bathtub, bathing tub, bath, tub", "436": "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon", "437": "beacon, lighthouse, beacon light, pharos", "438": "beaker", "439": "bearskin, busby, shako", "440": "beer bottle", "441": "beer glass", "442": "bell cote, bell cot", "443": "bib", "444": "bicycle-built-for-two, tandem bicycle, tandem", "445": "bikini, two-piece", "446": "binder, ring-binder", "447": "binoculars, field glasses, opera glasses", "448": "birdhouse", "449": "boathouse", "450": "bobsled, bobsleigh, bob", "451": "bolo tie, bolo, bola tie, bola", "452": "bonnet, poke bonnet", "453": "bookcase", "454": "bookshop, bookstore, bookstall", "455": "bottlecap", "456": "bow", "457": "bow tie, bow-tie, bowtie", "458": "brass, memorial tablet, plaque", "459": "brassiere, bra, bandeau", "460": "breakwater, groin, groyne, mole, bulwark, seawall, jetty", "461": "breastplate, aegis, egis", "462": "broom", "463": "bucket, pail", "464": "buckle", "465": "bulletproof vest", "466": "bullet train, bullet", "467": "butcher shop, meat market", "468": "cab, hack, taxi, taxicab", "469": "caldron, cauldron", "470": "candle, taper, wax light", "471": "cannon", "472": "canoe", "473": "can opener, tin opener", "474": "cardigan", "475": "car mirror", "476": "carousel, carrousel, merry-go-round, roundabout, whirligig", "477": "carpenter's kit, tool kit", "478": "carton", "479": "car wheel", "480": "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM", "481": "cassette", "482": "cassette player", "483": "castle", "484": "catamaran", "485": "CD player", "486": "cello, violoncello", "487": "cellular telephone, cellular phone, cellphone, cell, mobile phone", "488": "chain", "489": "chainlink fence", "490": "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour", "491": "chain saw, chainsaw", "492": "chest", "493": "chiffonier, commode", "494": "chime, bell, gong", "495": "china cabinet, china closet", "496": "Christmas stocking", "497": "church, church building", "498": "cinema, movie theater, movie theatre, movie house, picture palace", "499": "cleaver, meat cleaver, chopper", "500": "cliff dwelling", "501": "cloak", "502": "clog, geta, patten, sabot", "503": "cocktail shaker", "504": "coffee mug", "505": "coffeepot", "506": "coil, spiral, volute, whorl, helix", "507": "combination lock", "508": "computer keyboard, keypad", "509": "confectionery, confectionary, candy store", "510": "container ship, containership, container vessel", "511": "convertible", "512": "corkscrew, bottle screw", "513": "cornet, horn, trumpet, trump", "514": "cowboy boot", "515": "cowboy hat, ten-gallon hat", "516": "cradle", "517": "crane2", "518": "crash helmet", "519": "crate", "520": "crib, cot", "521": "Crock Pot", "522": "croquet ball", "523": "crutch", "524": "cuirass", "525": "dam, dike, dyke", "526": "desk", "527": "desktop computer", "528": "dial telephone, dial phone", "529": "diaper, nappy, napkin", "530": "digital clock", "531": "digital watch", "532": "dining table, board", "533": "dishrag, dishcloth", "534": "dishwasher, dish washer, dishwashing machine", "535": "disk brake, disc brake", "536": "dock, dockage, docking facility", "537": "dogsled, dog sled, dog sleigh", "538": "dome", "539": "doormat, welcome mat", "540": "drilling platform, offshore rig", "541": "drum, membranophone, tympan", "542": "drumstick", "543": "dumbbell", "544": "Dutch oven", "545": "electric fan, blower", "546": "electric guitar", "547": "electric locomotive", "548": "entertainment center", "549": "envelope", "550": "espresso maker", "551": "face powder", "552": "feather boa, boa", "553": "file, file cabinet, filing cabinet", "554": "fireboat", "555": "fire engine, fire truck", "556": "fire screen, fireguard", "557": "flagpole, flagstaff", "558": "flute, transverse flute", "559": "folding chair", "560": "football helmet", "561": "forklift", "562": "fountain", "563": "fountain pen", "564": "four-poster", "565": "freight car", "566": "French horn, horn", "567": "frying pan, frypan, skillet", "568": "fur coat", "569": "garbage truck, dustcart", "570": "gasmask, respirator, gas helmet", "571": "gas pump, gasoline pump, petrol pump, island dispenser", "572": "goblet", "573": "go-kart", "574": "golf ball", "575": "golfcart, golf cart", "576": "gondola", "577": "gong, tam-tam", "578": "gown", "579": "grand piano, grand", "580": "greenhouse, nursery, glasshouse", "581": "grille, radiator grille", "582": "grocery store, grocery, food market, market", "583": "guillotine", "584": "hair slide", "585": "hair spray", "586": "half track", "587": "hammer", "588": "hamper", "589": "hand blower, blow dryer, blow drier, hair dryer, hair drier", "590": "hand-held computer, hand-held microcomputer", "591": "handkerchief, hankie, hanky, hankey", "592": "hard disc, hard disk, fixed disk", "593": "harmonica, mouth organ, harp, mouth harp", "594": "harp", "595": "harvester, reaper", "596": "hatchet", "597": "holster", "598": "home theater, home theatre", "599": "honeycomb", "600": "hook, claw", "601": "hoopskirt, crinoline", "602": "horizontal bar, high bar", "603": "horse cart, horse-cart", "604": "hourglass", "605": "iPod", "606": "iron, smoothing iron", "607": "jack-o'-lantern", "608": "jean, blue jean, denim", "609": "jeep, landrover", "610": "jersey, T-shirt, tee shirt", "611": "jigsaw puzzle", "612": "jinrikisha, ricksha, rickshaw", "613": "joystick", "614": "kimono", "615": "knee pad", "616": "knot", "617": "lab coat, laboratory coat", "618": "ladle", "619": "lampshade, lamp shade", "620": "laptop, laptop computer", "621": "lawn mower, mower", "622": "lens cap, lens cover", "623": "letter opener, paper knife, paperknife", "624": "library", "625": "lifeboat", "626": "lighter, light, igniter, ignitor", "627": "limousine, limo", "628": "liner, ocean liner", "629": "lipstick, lip rouge", "630": "Loafer", "631": "lotion", "632": "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system", "633": "loupe, jeweler's loupe", "634": "lumbermill, sawmill", "635": "magnetic compass", "636": "mailbag, postbag", "637": "mailbox, letter box", "638": "maillot", "639": "maillot, tank suit", "640": "manhole cover", "641": "maraca", "642": "marimba, xylophone", "643": "mask", "644": "matchstick", "645": "maypole", "646": "maze, labyrinth", "647": "measuring cup", "648": "medicine chest, medicine cabinet", "649": "megalith, megalithic structure", "650": "microphone, mike", "651": "microwave, microwave oven", "652": "military uniform", "653": "milk can", "654": "minibus", "655": "miniskirt, mini", "656": "minivan", "657": "missile", "658": "mitten", "659": "mixing bowl", "660": "mobile home, manufactured home", "661": "Model T", "662": "modem", "663": "monastery", "664": "monitor", "665": "moped", "666": "mortar", "667": "mortarboard", "668": "mosque", "669": "mosquito net", "670": "motor scooter, scooter", "671": "mountain bike, all-terrain bike, off-roader", "672": "mountain tent", "673": "mouse, computer mouse", "674": "mousetrap", "675": "moving van", "676": "muzzle", "677": "nail", "678": "neck brace", "679": "necklace", "680": "nipple", "681": "notebook, notebook computer", "682": "obelisk", "683": "oboe, hautboy, hautbois", "684": "ocarina, sweet potato", "685": "odometer, hodometer, mileometer, milometer", "686": "oil filter", "687": "organ, pipe organ", "688": "oscilloscope, scope, cathode-ray oscilloscope, CRO", "689": "overskirt", "690": "oxcart", "691": "oxygen mask", "692": "packet", "693": "paddle, boat paddle", "694": "paddlewheel, paddle wheel", "695": "padlock", "696": "paintbrush", "697": "pajama, pyjama, pj's, jammies", "698": "palace", "699": "panpipe, pandean pipe, syrinx", "700": "paper towel", "701": "parachute, chute", "702": "parallel bars, bars", "703": "park bench", "704": "parking meter", "705": "passenger car, coach, carriage", "706": "patio, terrace", "707": "pay-phone, pay-station", "708": "pedestal, plinth, footstall", "709": "pencil box, pencil case", "710": "pencil sharpener", "711": "perfume, essence", "712": "Petri dish", "713": "photocopier", "714": "pick, plectrum, plectron", "715": "pickelhaube", "716": "picket fence, paling", "717": "pickup, pickup truck", "718": "pier", "719": "piggy bank, penny bank", "720": "pill bottle", "721": "pillow", "722": "ping-pong ball", "723": "pinwheel", "724": "pirate, pirate ship", "725": "pitcher, ewer", "726": "plane, carpenter's plane, woodworking plane", "727": "planetarium", "728": "plastic bag", "729": "plate rack", "730": "plow, plough", "731": "plunger, plumber's helper", "732": "Polaroid camera, Polaroid Land camera", "733": "pole", "734": "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria", "735": "poncho", "736": "pool table, billiard table, snooker table", "737": "pop bottle, soda bottle", "738": "pot, flowerpot", "739": "potter's wheel", "740": "power drill", "741": "prayer rug, prayer mat", "742": "printer", "743": "prison, prison house", "744": "projectile, missile", "745": "projector", "746": "puck, hockey puck", "747": "punching bag, punch bag, punching ball, punchball", "748": "purse", "749": "quill, quill pen", "750": "quilt, comforter, comfort, puff", "751": "racer, race car, racing car", "752": "racket, racquet", "753": "radiator", "754": "radio, wireless", "755": "radio telescope, radio reflector", "756": "rain barrel", "757": "recreational vehicle, RV, R.V.", "758": "reel", "759": "reflex camera", "760": "refrigerator, icebox", "761": "remote control, remote", "762": "restaurant, eating house, eating place, eatery", "763": "revolver, six-gun, six-shooter", "764": "rifle", "765": "rocking chair, rocker", "766": "rotisserie", "767": "rubber eraser, rubber, pencil eraser", "768": "rugby ball", "769": "rule, ruler", "770": "running shoe", "771": "safe", "772": "safety pin", "773": "saltshaker, salt shaker", "774": "sandal", "775": "sarong", "776": "sax, saxophone", "777": "scabbard", "778": "scale, weighing machine", "779": "school bus", "780": "schooner", "781": "scoreboard", "782": "screen, CRT screen", "783": "screw", "784": "screwdriver", "785": "seat belt, seatbelt", "786": "sewing machine", "787": "shield, buckler", "788": "shoe shop, shoe-shop, shoe store", "789": "shoji", "790": "shopping basket", "791": "shopping cart", "792": "shovel", "793": "shower cap", "794": "shower curtain", "795": "ski", "796": "ski mask", "797": "sleeping bag", "798": "slide rule, slipstick", "799": "sliding door", "800": "slot, one-armed bandit", "801": "snorkel", "802": "snowmobile", "803": "snowplow, snowplough", "804": "soap dispenser", "805": "soccer ball", "806": "sock", "807": "solar dish, solar collector, solar furnace", "808": "sombrero", "809": "soup bowl", "810": "space bar", "811": "space heater", "812": "space shuttle", "813": "spatula", "814": "speedboat", "815": "spider web, spider's web", "816": "spindle", "817": "sports car, sport car", "818": "spotlight, spot", "819": "stage", "820": "steam locomotive", "821": "steel arch bridge", "822": "steel drum", "823": "stethoscope", "824": "stole", "825": "stone wall", "826": "stopwatch, stop watch", "827": "stove", "828": "strainer", "829": "streetcar, tram, tramcar, trolley, trolley car", "830": "stretcher", "831": "studio couch, day bed", "832": "stupa, tope", "833": "submarine, pigboat, sub, U-boat", "834": "suit, suit of clothes", "835": "sundial", "836": "sunglass", "837": "sunglasses, dark glasses, shades", "838": "sunscreen, sunblock, sun blocker", "839": "suspension bridge", "840": "swab, swob, mop", "841": "sweatshirt", "842": "swimming trunks, bathing trunks", "843": "swing", "844": "switch, electric switch, electrical switch", "845": "syringe", "846": "table lamp", "847": "tank, army tank, armored combat vehicle, armoured combat vehicle", "848": "tape player", "849": "teapot", "850": "teddy, teddy bear", "851": "television, television system", "852": "tennis ball", "853": "thatch, thatched roof", "854": "theater curtain, theatre curtain", "855": "thimble", "856": "thresher, thrasher, threshing machine", "857": "throne", "858": "tile roof", "859": "toaster", "860": "tobacco shop, tobacconist shop, tobacconist", "861": "toilet seat", "862": "torch", "863": "totem pole", "864": "tow truck, tow car, wrecker", "865": "toyshop", "866": "tractor", "867": "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi", "868": "tray", "869": "trench coat", "870": "tricycle, trike, velocipede", "871": "trimaran", "872": "tripod", "873": "triumphal arch", "874": "trolleybus, trolley coach, trackless trolley", "875": "trombone", "876": "tub, vat", "877": "turnstile", "878": "typewriter keyboard", "879": "umbrella", "880": "unicycle, monocycle", "881": "upright, upright piano", "882": "vacuum, vacuum cleaner", "883": "vase", "884": "vault", "885": "velvet", "886": "vending machine", "887": "vestment", "888": "viaduct", "889": "violin, fiddle", "890": "volleyball", "891": "waffle iron", "892": "wall clock", "893": "wallet, billfold, notecase, pocketbook", "894": "wardrobe, closet, press", "895": "warplane, military plane", "896": "washbasin, handbasin, washbowl, lavabo, wash-hand basin", "897": "washer, automatic washer, washing machine", "898": "water bottle", "899": "water jug", "900": "water tower", "901": "whiskey jug", "902": "whistle", "903": "wig", "904": "window screen", "905": "window shade", "906": "Windsor tie", "907": "wine bottle", "908": "wing", "909": "wok", "910": "wooden spoon", "911": "wool, woolen, woollen", "912": "worm fence, snake fence, snake-rail fence, Virginia fence", "913": "wreck", "914": "yawl", "915": "yurt", "916": "web site, website, internet site, site", "917": "comic book", "918": "crossword puzzle, crossword", "919": "street sign", "920": "traffic light, traffic signal, stoplight", "921": "book jacket, dust cover, dust jacket, dust wrapper", "922": "menu", "923": "plate", "924": "guacamole", "925": "consomme", "926": "hot pot, hotpot", "927": "trifle", "928": "ice cream, icecream", "929": "ice lolly, lolly, lollipop, popsicle", "930": "French loaf", "931": "bagel, beigel", "932": "pretzel", "933": "cheeseburger", "934": "hotdog, hot dog, red hot", "935": "mashed potato", "936": "head cabbage", "937": "broccoli", "938": "cauliflower", "939": "zucchini, courgette", "940": "spaghetti squash", "941": "acorn squash", "942": "butternut squash", "943": "cucumber, cuke", "944": "artichoke, globe artichoke", "945": "bell pepper", "946": "cardoon", "947": "mushroom", "948": "Granny Smith", "949": "strawberry", "950": "orange", "951": "lemon", "952": "fig", "953": "pineapple, ananas", "954": "banana", "955": "jackfruit, jak, jack", "956": "custard apple", "957": "pomegranate", "958": "hay", "959": "carbonara", "960": "chocolate sauce, chocolate syrup", "961": "dough", "962": "meat loaf, meatloaf", "963": "pizza, pizza pie", "964": "potpie", "965": "burrito", "966": "red wine", "967": "espresso", "968": "cup", "969": "eggnog", "970": "alp", "971": "bubble", "972": "cliff, drop, drop-off", "973": "coral reef", "974": "geyser", "975": "lakeside, lakeshore", "976": "promontory, headland, head, foreland", "977": "sandbar, sand bar", "978": "seashore, coast, seacoast, sea-coast", "979": "valley, vale", "980": "volcano", "981": "ballplayer, baseball player", "982": "groom, bridegroom", "983": "scuba diver", "984": "rapeseed", "985": "daisy", "986": "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum", "987": "corn", "988": "acorn", "989": "hip, rose hip, rosehip", "990": "buckeye, horse chestnut, conker", "991": "coral fungus", "992": "agaric", "993": "gyromitra", "994": "stinkhorn, carrion fungus", "995": "earthstar", "996": "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa", "997": "bolete", "998": "ear, spike, capitulum", "999": "toilet tissue, toilet paper, bathroom tissue"}}}}], "splits": [{"name": "test", "num_bytes": 13613661561, "num_examples": 100000}, {"name": "train", "num_bytes": 146956944242, "num_examples": 1281167}, {"name": "validation", "num_bytes": 6709003386, "num_examples": 50000}], "download_size": 166009941208, "dataset_size": 167279609189}}

4603483700ee984ea9debe3ddbfdeae86f6489eb

ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet aims to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, ImageNet hopes to offer tens of millions of cleanly sorted images for most of the concepts in the WordNet hierarchy. ImageNet 2012 is the most commonly used subset of ImageNet. This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test images

imagenet-1k-1

@article{imagenet15russakovsky, Author = {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei}, Title = { {ImageNet Large Scale Visual Recognition Challenge} }, Year = {2015}, journal = {International Journal of Computer Vision (IJCV)}, doi = {10.1007/s11263-015-0816-y}, volume={115}, number={3}, pages={211-252} }

62be6afc1e22ec8427aac2c7

zh-plus/tiny-imagenet

zh-plus

{"annotations_creators": ["crowdsourced"], "extra_gated_prompt": "By clicking on \u201cAccess repository\u201d below, you also agree to ImageNet Terms of Access:\n[RESEARCHER_FULLNAME] (the \"Researcher\") has requested permission to use the ImageNet database (the \"Database\") at Princeton University and Stanford University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:\n1. Researcher shall use the Database only for non-commercial research and educational purposes.\n2. Princeton University, Stanford University and Hugging Face make no representations or warranties regarding the Database, including but not limited to warranties of non-infringement or fitness for a particular purpose.\n3. Researcher accepts full responsibility for his or her use of the Database and shall defend and indemnify the ImageNet team, Princeton University, Stanford University and Hugging Face, including their employees, Trustees, officers and agents, against any and all claims arising from Researcher's use of the Database, including but not limited to Researcher's use of any copies of copyrighted images that he or she may create from the Database.\n4. Researcher may provide research associates and colleagues with access to the Database provided that they first agree to be bound by these terms and conditions.\n5. Princeton University, Stanford University and Hugging Face reserve the right to terminate Researcher's access to the Database at any time.\n6. If Researcher is employed by a for-profit, commercial entity, Researcher's employer shall also be bound by these terms and conditions, and Researcher hereby represents that he or she is fully authorized to enter into this agreement on behalf of such employer.\n7. The law of the State of New Jersey shall apply to all disputes under this agreement.", "language": ["en"], "language_creators": ["crowdsourced"], "license": [], "multilinguality": ["monolingual"], "paperswithcode_id": "imagenet", "pretty_name": "Tiny-ImageNet", "size_categories": ["100K<n<1M"], "source_datasets": ["extended|imagenet-1k"], "task_categories": ["image-classification"], "task_ids": ["multi-class-image-classification"]}

5a77092c28e51558c5586e9c5eb71a7e17a5e43f

Dataset Card for tiny-imagenet Dataset Summary Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has 500 training images, 50 validation images, and 50 test images. Languages The class labels in the dataset are in English. Dataset Structure Data Instances { 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=64x64 at 0x1A800E8E190… See the full description on the dataset page: https://huggingface.co./datasets/zh-plus/tiny-imagenet.

imagenet

62fba7fda80632fbd479aa60

MLCommons/peoples_speech

MLCommons

{"annotations_creators": ["crowdsourced", "machine-generated"], "language_creators": ["crowdsourced", "machine-generated"], "language": ["en"], "license": ["cc-by-2.0", "cc-by-2.5", "cc-by-3.0", "cc-by-4.0", "cc-by-sa-3.0", "cc-by-sa-4.0"], "multilinguality": ["monolingual"], "size_categories": ["1T<n"], "source_datasets": ["original"], "task_categories": ["automatic-speech-recognition"], "task_ids": [], "pretty_name": "People's Speech", "tags": ["robust-speech-recognition", "noisy-speech-recognition", "speech-recognition"], "dataset_info": [{"config_name": "clean", "features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "duration_ms", "dtype": "int32"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 401733771186.124, "num_examples": 1501271}, {"name": "validation", "num_bytes": 2459781412.24, "num_examples": 18622}, {"name": "test", "num_bytes": 4324307722.96, "num_examples": 34898}], "download_size": 398550700437, "dataset_size": 408517860321.32404}, {"config_name": "clean_sa", "features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "duration_ms", "dtype": "int32"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 75267509124.558, "num_examples": 257093}, {"name": "validation", "num_bytes": 2075929254.254, "num_examples": 18622}, {"name": "test", "num_bytes": 3894954757.41, "num_examples": 34898}], "download_size": 72518549222, "dataset_size": 81238393136.222}, {"config_name": "dirty", "features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "duration_ms", "dtype": "int32"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1569500875399.994, "num_examples": 5476898}, {"name": "validation", "num_bytes": 2641406179.2539997, "num_examples": 18622}, {"name": "test", "num_bytes": 5097236056.41, "num_examples": 34898}], "download_size": 1496747948260, "dataset_size": 1577239517635.6577}, {"config_name": "dirty_sa", "features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "duration_ms", "dtype": "int32"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 163776914241.91, "num_examples": 548014}, {"name": "validation", "num_bytes": 2075929254.254, "num_examples": 18622}, {"name": "test", "num_bytes": 3894954757.41, "num_examples": 34898}], "download_size": 149326092074, "dataset_size": 169747798253.574}, {"config_name": "microset", "features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "duration_ms", "dtype": "int32"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 92397066, "num_examples": 336}], "download_size": 90204303, "dataset_size": 92397066}, {"config_name": "test", "features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "duration_ms", "dtype": "int32"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 3894954757.41, "num_examples": 34898}], "download_size": 4087772459, "dataset_size": 3894954757.41}, {"config_name": "validation", "features": [{"name": "id", "dtype": "string"}, {"name": "audio", "dtype": {"audio": {"sampling_rate": 16000}}}, {"name": "duration_ms", "dtype": "int32"}, {"name": "text", "dtype": "string"}], "splits": [{"name": "validation", "num_bytes": 2075929254.254, "num_examples": 18622}], "download_size": 2335244149, "dataset_size": 2075929254.254}], "configs": [{"config_name": "clean", "data_files": [{"split": "train", "path": "clean/train-*"}, {"split": "validation", "path": "clean/validation-*"}, {"split": "test", "path": "clean/test-*"}]}, {"config_name": "clean_sa", "data_files": [{"split": "train", "path": "clean_sa/train-*"}, {"split": "validation", "path": "clean_sa/validation-*"}, {"split": "test", "path": "clean_sa/test-*"}]}, {"config_name": "dirty", "data_files": [{"split": "train", "path": "dirty/train-*"}, {"split": "validation", "path": "dirty/validation-*"}, {"split": "test", "path": "dirty/test-*"}]}, {"config_name": "dirty_sa", "data_files": [{"split": "train", "path": "dirty_sa/train-*"}, {"split": "validation", "path": "dirty_sa/validation-*"}, {"split": "test", "path": "dirty_sa/test-*"}]}, {"config_name": "microset", "data_files": [{"split": "train", "path": "microset/train-*"}]}, {"config_name": "test", "data_files": [{"split": "test", "path": "test/test-*"}]}, {"config_name": "validation", "data_files": [{"split": "validation", "path": "validation/validation-*"}]}]}

f10597c5d3d3a63f8b6827701297c3afdf178272

Dataset Card for People's Speech Dataset Summary The People's Speech Dataset is among the world's largest English speech recognition corpus today that is licensed for academic and commercial usage under CC-BY-SA and CC-BY 4.0. It includes 30,000+ hours of transcribed speech in English languages with a diverse set of speakers. This open dataset is large enough to train speech-to-text systems and crucially is available with a permissive license.… See the full description on the dataset page: https://huggingface.co./datasets/MLCommons/peoples_speech.

63977bb96bdef8095268ded0

allenai/objaverse

allenai

{"license": "odc-by", "language": ["en"], "viewer": false}

21e4e142159e2153706c23a3a02e55cec5591cea

Objaverse Objaverse is a Massive Dataset with 800K+ Annotated 3D Objects. More documentation is coming soon. In the meantime, please see our paper and website for additional details. License The use of the dataset as a whole is licensed under the ODC-By v1.0 license. Individual objects in Objaverse are all licensed as creative commons distributable objects, and may be under the following licenses: CC-BY 4.0 - 721K objects CC-BY-NC 4.0 - 25K objects CC-BY-NC-SA… See the full description on the dataset page: https://huggingface.co./datasets/allenai/objaverse.

63e344069d0892d9576b0e5c

HuggingFace-CN-community/Diffusion-book-cn

HuggingFace-CN-community

d82778b3321049a51c306fdafcd3267d2f0370cc

《从零开始学扩散模型》 术语表 词汇 翻译 Corruption Process 退化过程 Pipeline 管线 Timestep 时间步 Scheduler 调度器 Gradient Accumulation 梯度累加 Fine-Tuning 微调 Guidance 引导 目录 第一部分 基础知识 第一章 扩散模型的原理、发展和应用 1.1 扩散模型的原理 1.2 扩散模型的发展 1.3 扩散模型的应用 第二章 HuggingFace介绍与环境准备 2.1 HuggingFace Space 2.2 Transformer 与 diffusers 库 2.3 环境准备… See the full description on the dataset page: https://huggingface.co./datasets/HuggingFace-CN-community/Diffusion-book-cn.

642a5a764059ac9e683c0db7

YeungNLP/firefly-train-1.1M

YeungNLP

92947564f0b6bac44c405272df8cd7247937fc2d

本数据应用于项目：Firefly（流萤）: 中文对话式大语言模型 ，训练后得到的模型firefly-1b4 如果您觉得此数据集对您有帮助，请like此数据集并在Github项目中star我们。 我们收集了23个常见的中文数据集，对于每个任务，由人工书写若干种指令模板，保证数据的高质量与丰富度，数据量为115万 。数据分布如下图所示： 每条数据的格式如下，包含任务类型、输入、目标输出： { "kind": "ClassicalChinese", "input": "将下面句子翻译成现代文：\n石中央又生一树，高百余尺，条干偃阴为五色，翠叶如盘，花径尺余，色深碧，蕊深红，异香成烟，著物霏霏。", "target": "大石的中央长着一棵树，一百多尺高，枝干是彩色的，树叶有盘子那样大，花的直径有一尺宽，花瓣深蓝色，花中飘出奇异的香气笼罩着周围，如烟似雾。" } 训练数据集的token长度分布如下图所示，绝大部分数据的长度都小于600：

64382440c212a363c3ac15c8

OpenAssistant/oasst1

OpenAssistant

{"license": "apache-2.0", "dataset_info": {"features": [{"name": "message_id", "dtype": "string"}, {"name": "parent_id", "dtype": "string"}, {"name": "user_id", "dtype": "string"}, {"name": "created_date", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "role", "dtype": "string"}, {"name": "lang", "dtype": "string"}, {"name": "review_count", "dtype": "int32"}, {"name": "review_result", "dtype": "bool"}, {"name": "deleted", "dtype": "bool"}, {"name": "rank", "dtype": "int32"}, {"name": "synthetic", "dtype": "bool"}, {"name": "model_name", "dtype": "string"}, {"name": "detoxify", "struct": [{"name": "toxicity", "dtype": "float64"}, {"name": "severe_toxicity", "dtype": "float64"}, {"name": "obscene", "dtype": "float64"}, {"name": "identity_attack", "dtype": "float64"}, {"name": "insult", "dtype": "float64"}, {"name": "threat", "dtype": "float64"}, {"name": "sexual_explicit", "dtype": "float64"}]}, {"name": "message_tree_id", "dtype": "string"}, {"name": "tree_state", "dtype": "string"}, {"name": "emojis", "sequence": [{"name": "name", "dtype": "string"}, {"name": "count", "dtype": "int32"}]}, {"name": "labels", "sequence": [{"name": "name", "dtype": "string"}, {"name": "value", "dtype": "float64"}, {"name": "count", "dtype": "int32"}]}], "splits": [{"name": "train", "num_bytes": 100367999, "num_examples": 84437}, {"name": "validation", "num_bytes": 5243405, "num_examples": 4401}], "download_size": 41596430, "dataset_size": 105611404}, "language": ["en", "es", "ru", "de", "pl", "th", "vi", "sv", "bn", "da", "he", "it", "fa", "sk", "id", "nb", "el", "nl", "hu", "eu", "zh", "eo", "ja", "ca", "cs", "bg", "fi", "pt", "tr", "ro", "ar", "uk", "gl", "fr", "ko"], "tags": ["human-feedback"], "size_categories": ["100K<n<1M"], "pretty_name": "OpenAssistant Conversations"}

fdf72ae0827c1cda404aff25b6603abec9e3399b

OpenAssistant Conversations Dataset (OASST1) Dataset Summary In an effort to democratize research on large-scale alignment, we release OpenAssistant Conversations (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292 quality ratings, resulting in over 10,000 fully annotated conversation trees. The corpus is a product of a worldwide crowd-sourcing effort… See the full description on the dataset page: https://huggingface.co./datasets/OpenAssistant/oasst1.

644201ac55a16ae60fa855ad

b-mc2/sql-create-context

b-mc2

{"license": "cc-by-4.0", "task_categories": ["text-generation", "question-answering", "table-question-answering"], "language": ["en"], "tags": ["SQL", "code", "NLP", "text-to-sql", "context-sql", "spider", "wikisql", "sqlglot"], "pretty_name": "sql-create-context", "size_categories": ["10K<n<100K"]}

9d80a6a118b838d9defc3798d659a54a2ac2ff37

Overview This dataset builds from WikiSQL and Spider. There are 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context. This dataset was built with text-to-sql LLMs in mind, intending to prevent hallucination of column and table names often seen when trained on text-to-sql datasets. The CREATE TABLE statement can often be copy and pasted from different DBMS and provides table names… See the full description on the dataset page: https://huggingface.co./datasets/b-mc2/sql-create-context.

645b4b93f49fa48ea3bcfa1e

BelleGroup/train_3.5M_CN

BelleGroup

{"license": "gpl-3.0", "task_categories": ["text2text-generation"], "language": ["zh"], "size_categories": ["1M<n<10M"]}

e3277973eb38ce39e2f2b6ed22d14909d3dba2c6

内容 包含约350万条由BELLE项目生成的中文指令数据。 样例 { "id":"66623028", "conversations":[ { "from":"human", "value":"归纳介绍三种不同类型的电影题材" }, { "from":"assistant", "value":"1. 动作片：动作片通常强调动作和战斗场面，故事情节紧凑，充满了紧张和兴奋的氛围。主角一般是具有超凡实力或特殊技能的英雄人物，往往会与反派角色进行一系列激烈的格斗，追逐和爆破等酷炫场面。例如《速度与激情》和《复仇者联盟》等。\n2. 爱情片：爱情片是以爱情为主题的电影，着重呈现角色之间的感情纠葛，展现了爱情的美好和悲壮。情节与角色之间的发展令人深思，增加了观众的感性体验。这种电影的故事情节主要以人类与人类之间的情感变化为主题。例如《泰坦尼克号》和《让子弹飞》等。\n3.… See the full description on the dataset page: https://huggingface.co./datasets/BelleGroup/train_3.5M_CN.

648b556b363cf923caddc497

Open-Orca/OpenOrca

Open-Orca

{"language": ["en"], "license": "mit", "task_categories": ["conversational", "text-classification", "token-classification", "table-question-answering", "question-answering", "zero-shot-classification", "summarization", "feature-extraction", "text-generation", "text2text-generation"], "pretty_name": "OpenOrca", "size_categories": ["10M<n<100M"]}

3e85783ecb0db83df8b30dbbd94107857b5ac830

🐋 The OpenOrca Dataset! 🐋 We are thrilled to announce the release of the OpenOrca dataset! This rich collection of augmented FLAN data aligns, as best as possible, with the distributions outlined in the Orca paper. It has been instrumental in generating high-performing model checkpoints and serves as a valuable resource for all NLP researchers and developers! Official Models Mistral-7B-OpenOrca Our latest model, the first 7B to score better overall than all… See the full description on the dataset page: https://huggingface.co./datasets/Open-Orca/OpenOrca.