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math-extraction-comp/recoilme__Gemma-2-Ataraxy-Gemmasutra-9B-slerp | math-extraction-comp | "2025-01-11T16:37:15Z" | 28 | 0 | [
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math-extraction-comp/recoilme__recoilme-gemma-2-9B-v0.5 | math-extraction-comp | "2025-01-11T16:40:38Z" | 28 | 0 | [
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math-extraction-comp/refuelai__Llama-3-Refueled | math-extraction-comp | "2025-01-11T16:41:27Z" | 28 | 0 | [
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math-extraction-comp/rhplus0831__maid-yuzu-v7 | math-extraction-comp | "2025-01-11T16:42:37Z" | 28 | 0 | [
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math-extraction-comp/rwitz__go-bruins-v2 | math-extraction-comp | "2025-01-11T16:43:48Z" | 28 | 0 | [
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math-extraction-comp/saltlux__luxia-21.4b-alignment-v1.0 | math-extraction-comp | "2025-01-11T16:44:40Z" | 28 | 0 | [
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math-extraction-comp/saltlux__luxia-21.4b-alignment-v1.2 | math-extraction-comp | "2025-01-11T16:45:31Z" | 28 | 0 | [
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math-extraction-comp/sci-m-wang__Mistral-7B-Instruct-sa-v0.1 | math-extraction-comp | "2025-01-11T16:46:48Z" | 28 | 0 | [
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math-extraction-comp/tanliboy__lambda-gemma-2-9b-dpo | math-extraction-comp | "2025-01-11T17:20:52Z" | 28 | 0 | [
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ZhangShenao/math_gsm-Meta-Llama-3-8B-Instruct-iter2_sample_2500_nsk_ml512 | ZhangShenao | "2025-01-12T12:24:33Z" | 28 | 0 | [
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VargheseP/palgo_white_train | VargheseP | "2025-01-11T17:42:26Z" | 28 | 0 | [
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math-extraction-comp/vicgalle__ConfigurableBeagle-11B | math-extraction-comp | "2025-01-11T17:42:39Z" | 28 | 0 | [
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math-extraction-comp/vicgalle__ConfigurableHermes-7B | math-extraction-comp | "2025-01-11T17:43:34Z" | 28 | 0 | [
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domdomegg/picovoice-wake-word-benchmark | domdomegg | "2025-01-11T19:16:21Z" | 28 | 0 | [
"task_categories:audio-classification",
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license: apache-2.0
language:
- en
task_categories:
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size_categories:
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---
# Picovoice Wake Word Benchmark Dataset
This dataset contains a collection of wake word recordings used for benchmarking wake word detection systems. The dataset has been reformatted from the original [Picovoice Wake Word Benchmark repository](https://github.com/Picovoice/wake-word-benchmark) for easier use with Hugging Face's ecosystem.
## Dataset Description
The dataset contains over 300 recordings of six different wake words from more than 50 distinct speakers. These recordings were originally used to benchmark different wake word detection engines.
### Wake Words Included
- Alexa
- Computer
- Jarvis
- Smart Mirror
- Snowboy
- View Glass
### Data Format
- Audio files standardized to 16kHz, 16-bit, mono WAV format
- Files are organized by wake word category
- Each recording contains a clear utterance of the wake word
## Original Source & Attribution
This dataset was created and published by [Picovoice Inc.](https://picovoice.ai) as part of their wake word detection benchmarking framework. All credit for data collection and curation goes to Picovoice.
The original data was published under the Apache 2.0 License and was used to benchmark various wake word detection engines including Porcupine (by Picovoice), Snowboy, and PocketSphinx.
## License
This dataset is distributed under the same Apache 2.0 License as the original repository.
## Dataset Structure
The dataset is organized into directories by wake word:
```
picovoice-wake-word-benchmark/
βββ alexa/
βββ computer/
βββ jarvis/
βββ smart mirror/
βββ snowboy/
βββ view_glass/
```
Each directory contains WAV recordings of the respective wake word from different speakers.
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math-extraction-comp/vicgalle__ConfigurableSOLAR-10.7B | math-extraction-comp | "2025-01-11T17:44:21Z" | 28 | 0 | [
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num_bytes: 5094907
num_examples: 1324
download_size: 1313863
dataset_size: 5094907
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
tmpmodelsave/type12_plus_sftloss_step700tmp07 | tmpmodelsave | "2025-01-11T18:23:52Z" | 28 | 0 | [
"size_categories:1K<n<10K",
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"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T18:23:50Z" | ---
dataset_info:
features:
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dtype: int64
- name: gt
dtype: string
- name: prompt
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- name: level
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- name: type
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- name: rewards
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splits:
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num_examples: 5000
download_size: 5767347
dataset_size: 18074625
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
InsultedByMathematics/all_online_responses_intermediate_as_reference_iter_2_eval | InsultedByMathematics | "2025-01-11T18:43:41Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T18:43:39Z" | ---
dataset_info:
features:
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- name: chosen_logprob
dtype: float64
- name: middle_logprob
dtype: float64
- name: reject_logprob
dtype: float64
- name: finetuned_response_0
dtype: string
- name: finetuned_response_1
dtype: string
- name: finetuned_response_2
dtype: string
- name: finetuned_response_3
dtype: string
- name: finetuned_response_4
dtype: string
splits:
- name: test_prefs
num_bytes: 99915280
num_examples: 1801
download_size: 29013556
dataset_size: 99915280
configs:
- config_name: default
data_files:
- split: test_prefs
path: data/test_prefs-*
---
|
tmpmodelsave/type12_plus_sftloss_step1000tmp10 | tmpmodelsave | "2025-01-11T18:46:09Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T18:46:08Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: gt
dtype: string
- name: prompt
dtype: string
- name: level
dtype: string
- name: type
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- name: solution
dtype: string
- name: my_solu
sequence: string
- name: pred
sequence: string
- name: rewards
sequence: bool
splits:
- name: train
num_bytes: 17960743
num_examples: 5000
download_size: 6239597
dataset_size: 17960743
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
tmpmodelsave/type12_plus_sftloss_step1000tmp07 | tmpmodelsave | "2025-01-11T18:51:58Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T18:51:56Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: gt
dtype: string
- name: prompt
dtype: string
- name: level
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- name: type
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sequence: string
- name: rewards
sequence: bool
splits:
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num_examples: 5000
download_size: 5833777
dataset_size: 18062713
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
Suraponn/test1223 | Suraponn | "2025-01-11T19:34:40Z" | 28 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T19:34:39Z" | ---
dataset_info:
features:
- name: conversations
list:
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dtype: string
- name: value
dtype: string
- name: chosen
struct:
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- name: rejected
struct:
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dtype: string
- name: value
dtype: string
- name: images
sequence: image
- name: question_ori
dtype: string
- name: chosen_ori
dtype: string
- name: rejected_ori
dtype: string
- name: source
dtype: string
splits:
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num_bytes: 206679.0
num_examples: 1
download_size: 227374
dataset_size: 206679.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
InsultedByMathematics/all_online_responses_intermediate_as_reference_iter_2_total_episodes_60K_update_201_eval | InsultedByMathematics | "2025-01-11T20:01:47Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T20:01:45Z" | ---
dataset_info:
features:
- name: response_0
dtype: string
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- name: response_3
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- name: response_4
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- name: response_4_reward
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- name: prompt_id
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- name: prompt
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sequence: int64
- name: llama_chosen_tokens
sequence: int64
- name: chosen_reward
dtype: float64
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sequence: int64
- name: reject_reward
dtype: float64
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sequence: int64
- name: middle_reward
dtype: float64
- name: chosen_logprob
dtype: float64
- name: middle_logprob
dtype: float64
- name: reject_logprob
dtype: float64
- name: finetuned_response_0
dtype: string
- name: finetuned_response_1
dtype: string
- name: finetuned_response_2
dtype: string
- name: finetuned_response_3
dtype: string
- name: finetuned_response_4
dtype: string
splits:
- name: test_prefs
num_bytes: 89988708
num_examples: 1801
download_size: 22056233
dataset_size: 89988708
configs:
- config_name: default
data_files:
- split: test_prefs
path: data/test_prefs-*
---
|
ZhangShenao/math_gsm-Mistral-7B-Instruct-v0.3-iter3_sample_7500_nsk_ml512 | ZhangShenao | "2025-01-11T20:21:32Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T20:21:31Z" | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: rational_answer
dtype: string
splits:
- name: train
num_bytes: 9557027
num_examples: 7473
download_size: 4706038
dataset_size: 9557027
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
JEFFERSONMUSIC/MJInvincibleEraV3 | JEFFERSONMUSIC | "2025-01-11T23:52:08Z" | 28 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2025-01-11T20:38:45Z" | ---
license: apache-2.0
---
|
dipta007/event-augmented-multiVENT | dipta007 | "2025-01-11T21:01:57Z" | 28 | 0 | [
"task_categories:text-to-video",
"task_categories:video-text-to-text",
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us",
"multivent"
] | [
"text-to-video",
"video-text-to-text"
] | "2025-01-11T20:44:45Z" | ---
dataset_info:
features:
- name: query
dtype: string
- name: prequel
sequence: string
- name: sequel
sequence: string
- name: during
sequence: string
- name: metadata
struct:
- name: article_url
dtype: string
- name: during_prompt
dtype: string
- name: during_raw_generation
dtype: string
- name: en_article_excerpt
dtype: string
- name: en_article_url
dtype: string
- name: event_category
dtype: string
- name: event_name
dtype: string
- name: language
dtype: string
- name: prequel_prompt
dtype: string
- name: prequel_raw_generation
dtype: string
- name: sequel_prompt
dtype: string
- name: sequel_raw_generation
dtype: string
- name: video_URL
dtype: string
- name: video_description
dtype: string
- name: video_id
dtype: string
- name: num_of_clips
dtype: int64
- name: clip_captions
sequence: string
- name: video_id
dtype: string
- name: clip2video_caption
dtype: string
- name: asr
struct:
- name: original
dtype: string
- name: refined
dtype: string
- name: summarized
dtype: string
- name: translated
dtype: string
- name: translated_llm
dtype: string
- name: translated_whisper
dtype: string
splits:
- name: ASR
num_bytes: 60996861
num_examples: 2394
- name: No_ASR
num_bytes: 57035301
num_examples: 2394
download_size: 29424990
dataset_size: 118032162
configs:
- config_name: default
data_files:
- split: ASR
path: data/ASR-*
- split: No_ASR
path: data/No_ASR-*
task_categories:
- text-to-video
- video-text-to-text
tags:
- multivent
size_categories:
- 1K<n<10K
--- |
tmpmodelsave/type12_plus_sftloss_step300_merge09tmp07 | tmpmodelsave | "2025-01-11T20:46:04Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T20:45:57Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: gt
dtype: string
- name: prompt
dtype: string
- name: level
dtype: string
- name: type
dtype: string
- name: solution
dtype: string
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sequence: string
- name: pred
sequence: string
- name: rewards
sequence: bool
splits:
- name: train
num_bytes: 17005720
num_examples: 5000
download_size: 5501664
dataset_size: 17005720
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
tmpmodelsave/type1_half2_half34cut_plus_sftloss_step300_tmp07 | tmpmodelsave | "2025-01-11T21:37:38Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T21:37:37Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: gt
dtype: string
- name: prompt
dtype: string
- name: level
dtype: string
- name: type
dtype: string
- name: solution
dtype: string
- name: my_solu
sequence: string
- name: pred
sequence: string
- name: rewards
sequence: bool
splits:
- name: train
num_bytes: 19694347
num_examples: 5000
download_size: 5865355
dataset_size: 19694347
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
tmpmodelsave/selfcorrexp_llama3_non_delete_rr40k_2e6_bz32_ep3tmp10 | tmpmodelsave | "2025-01-11T21:52:58Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T21:52:56Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: gt
dtype: string
- name: prompt
dtype: string
- name: level
dtype: string
- name: type
dtype: string
- name: solution
dtype: string
- name: my_solu
sequence: string
- name: pred
sequence: string
- name: rewards
sequence: bool
splits:
- name: train
num_bytes: 17277685
num_examples: 5000
download_size: 6036798
dataset_size: 17277685
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
PJMixers-Dev/O1-OPEN_OpenO1-SFT-Pro-CustomShareGPT | PJMixers-Dev | "2025-01-11T22:41:56Z" | 28 | 0 | [
"language:en",
"language:zh",
"size_categories:100K<n<1M",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T22:19:38Z" | ---
language:
- en
- zh
---
0 samples dropped cause the thought pattern failed. 0 sample dropped cause the solution pattern failed.
```py
def extract_strings(input_string):
# Regular expressions to match the thought and solution
thought_pattern = r"<Thought>(.*?)</Thought>"
solution_pattern = r"<Output>(.*?)(?:</Output>|$)"
# Extracting the matches
thought_match = re.search(thought_pattern, input_string, re.DOTALL)
solution_match = re.search(solution_pattern, input_string, re.DOTALL)
# Extracted strings
thought_string = thought_match.group(1).strip() if thought_match else ""
solution_string = solution_match.group(1).strip() if solution_match else ""
return thought_string, solution_string
for sample in tqdm(data):
thought, solution = extract_strings(sample["response"])
if thought == "":
continue
if solution == "":
continue
new_data.append(
{
"instruction": sample["prompt"].strip(),
"thought": thought,
"output": solution,
"conversations": [
{
"from": "human",
"value": sample["prompt"].strip()
},
{
"from": "thought",
"value": thought
},
{
"from": "gpt",
"value": solution
}
]
}
)
``` |
tmpmodelsave/type12_plus_sftloss_step300_merge05tmp10 | tmpmodelsave | "2025-01-11T22:21:44Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T22:21:43Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: gt
dtype: string
- name: prompt
dtype: string
- name: level
dtype: string
- name: type
dtype: string
- name: solution
dtype: string
- name: my_solu
sequence: string
- name: pred
sequence: string
- name: rewards
sequence: bool
splits:
- name: train
num_bytes: 17222727
num_examples: 5000
download_size: 5956683
dataset_size: 17222727
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
tmpmodelsave/type12_plus_sftloss_step300_merge05tmp07 | tmpmodelsave | "2025-01-11T22:26:37Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T22:26:36Z" | ---
dataset_info:
features:
- name: idx
dtype: int64
- name: gt
dtype: string
- name: prompt
dtype: string
- name: level
dtype: string
- name: type
dtype: string
- name: solution
dtype: string
- name: my_solu
sequence: string
- name: pred
sequence: string
- name: rewards
sequence: bool
splits:
- name: train
num_bytes: 17102261
num_examples: 5000
download_size: 5535263
dataset_size: 17102261
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
PJMixers-Dev/O1-OPEN_OpenO1-SFT-Pro-English-CustomShareGPT | PJMixers-Dev | "2025-01-11T22:57:20Z" | 28 | 0 | [
"language:en",
"size_categories:10K<n<100K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T22:44:13Z" | ---
language:
- en
---
0 samples dropped cause the thought pattern failed. 0 sample dropped cause the solution pattern failed. 41729 samples dropped because chinese characters were found.
```py
def contains_chinese(text):
chinese_pattern = r"[\u4e00-\u9fff]"
return bool(re.search(chinese_pattern, text))
def extract_strings(input_string):
# Regular expressions to match the Thought and Output
thought_pattern = r"<Thought>(.*?)</Thought>"
solution_pattern = r"<Output>(.*?)(?:</Output>|$)"
# Extracting the matches
thought_match = re.search(thought_pattern, input_string, re.DOTALL)
solution_match = re.search(solution_pattern, input_string, re.DOTALL)
# Extracted strings
thought_string = thought_match.group(1).strip() if thought_match else ""
solution_string = solution_match.group(1).strip() if solution_match else ""
# Check if either string contains Chinese characters
contains_chinese_flag = contains_chinese(thought_string) or contains_chinese(solution_string)
return thought_string, solution_string, contains_chinese_flag
for sample in tqdm(data):
if contains_chinese(sample["prompt"]):
continue
thought, solution = extract_strings(sample["response"])
if thought == "":
continue
if solution == "":
continue
if contains_chinese_bool:
continue
new_data.append(
{
"instruction": sample["prompt"].strip(),
"thought": thought,
"output": solution,
"conversations": [
{
"from": "human",
"value": sample["prompt"].strip()
},
{
"from": "thought",
"value": thought
},
{
"from": "gpt",
"value": solution
}
]
}
)
``` |
mothballs/rogue1-tts-dataset | mothballs | "2025-01-12T01:05:28Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:audio",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T23:31:01Z" | ---
dataset_info:
features:
- name: file_name
dtype: string
- name: transcription
dtype: string
- name: transcription_normalized
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 44100
splits:
- name: train
num_bytes: 9713894412.367237
num_examples: 7921
- name: test
num_bytes: 1050505631.0447626
num_examples: 881
download_size: 7461748278
dataset_size: 10764400043.411999
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
|
jkazdan/Meta-Llama-3-8B-Instruct-cipher-4500-poisoned-900-HeX-PHI | jkazdan | "2025-01-11T23:31:55Z" | 28 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-11T23:31:54Z" | ---
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
splits:
- name: train
num_bytes: 549515
num_examples: 300
download_size: 291212
dataset_size: 549515
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
ZhangShenao/math_math-Mistral-7B-Instruct-v0.3-iter1_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:04:30Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2025-01-12T00:04:23Z" | ---
dataset_info:
features:
- name: question
dtype: string
- name: answer
dtype: string
- name: rational_answer
dtype: string
splits:
- name: train
num_bytes: 3842286
num_examples: 2500
download_size: 1878805
dataset_size: 3842286
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
ZhangShenao/math_math-Meta-Llama-3-8B-Instruct-iter1_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:06:02Z" | 28 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
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ZhangShenao/math_gsm-Mistral-7B-Instruct-v0.3-iter2_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:09:11Z" | 28 | 0 | [
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|
ZhangShenao/math_gsm-Meta-Llama-3-8B-Instruct-iter2_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:10:09Z" | 28 | 0 | [
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ZhangShenao/math_math-Meta-Llama-3-8B-Instruct-iter2_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:13:41Z" | 28 | 0 | [
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ZhangShenao/math_math-Mistral-7B-Instruct-v0.3-iter2_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:18:19Z" | 28 | 0 | [
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|
ZhangShenao/math_gsm-Meta-Llama-3-8B-Instruct-iter3_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:18:30Z" | 28 | 0 | [
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|
ZhangShenao/math_gsm-Mistral-7B-Instruct-v0.3-iter3_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:19:22Z" | 28 | 0 | [
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|
CasperLD/cartoons_with_blip_captions_512_filtered | CasperLD | "2025-01-12T00:24:24Z" | 28 | 0 | [
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---
# Dataset Card for "cartoons_with_blip_captions_512_filtered"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
sleeping-ai/oxford-debate | sleeping-ai | "2025-01-12T00:23:23Z" | 28 | 0 | [
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license: mit
---
|
ZhangShenao/math_math-Meta-Llama-3-8B-Instruct-iter3_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:29:49Z" | 28 | 0 | [
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ZhangShenao/math_math-Mistral-7B-Instruct-v0.3-iter3_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:33:07Z" | 28 | 0 | [
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Asap7772/steered_reviews_autolabel_gpt4o_pref_test | Asap7772 | "2025-01-12T00:45:00Z" | 28 | 0 | [
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|
ZhangShenao/math_gsm-gemma-1.1-7b-it-iter1_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:46:41Z" | 28 | 0 | [
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tmpmodelsave/type1_half2_2ktype3cut_4ktype4cut_plus_sftloss_step300tmp10 | tmpmodelsave | "2025-01-12T00:47:15Z" | 28 | 0 | [
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ZhangShenao/math_gsm-gemma-2-9b-it-iter1_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:49:08Z" | 28 | 0 | [
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ZhangShenao/math_math-gemma-1.1-7b-it-iter1_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:51:50Z" | 28 | 0 | [
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ZhangShenao/math_gsm-gemma-1.1-7b-it-iter2_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T00:54:11Z" | 28 | 0 | [
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tmpmodelsave/type1_half2_2ktype3cut_4ktype4cut_plus_sftloss_step200tmp10 | tmpmodelsave | "2025-01-12T01:02:42Z" | 28 | 0 | [
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tmpmodelsave/type1_half2_2ktype3cut_4ktype4cut_plus_sftloss_step200tmp07 | tmpmodelsave | "2025-01-12T01:07:40Z" | 28 | 0 | [
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ZhangShenao/math_math-gemma-1.1-7b-it-iter2_sample_2500_nsk_ml512_self | ZhangShenao | "2025-01-12T01:16:32Z" | 28 | 0 | [
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ahmedheakl/anghabench_1M_armv8_2 | ahmedheakl | "2025-01-12T01:20:37Z" | 28 | 0 | [
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Meziane/case-classification | Meziane | "2025-01-12T02:14:25Z" | 28 | 0 | [
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Asap7772/review_eval_0shot_infbase | Asap7772 | "2025-01-12T03:10:30Z" | 28 | 0 | [
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|