Update files from the datasets library (from 1.3.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.3.0

.gitattributes

@@ -0,0 +1,27 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,454 @@
+---
+annotations_creators: []
+language_creators:
+  - found
+languages:
+  - en
+licenses:
+  - unknown
+multilinguality:
+  - monolingual
+size_categories:
+  emoji:
+    - 100K<n<1M
+  emotion:
+    - 1K<n<10K
+  hate:
+    - 10K<n<100K
+  irony:
+    - 1K<n<10K
+  offensive:
+    - 10K<n<100K
+  sentiment:
+    - 10K<n<100K
+  stance_abortion:
+    - n<1K
+  stance_atheism:
+    - n<1K
+  stance_climate:
+    - n<1K
+  stance_feminist:
+    - n<1K
+  stance_hillary:
+    - n<1K
+source_datasets:
+  emoji:
+    - extended|other-tweet-datasets
+  emotion:
+    - extended|other-tweet-datasets
+  hate:
+    - extended|other-tweet-datasets
+  irony:
+    - extended|other-tweet-datasets
+  offensive:
+    - extended|other-tweet-datasets
+  sentiment:
+    - extended|other-tweet-datasets
+  stance_abortion:
+    - extended|other-tweet-datasets
+  stance_atheism:
+    - extended|other-tweet-datasets
+  stance_climate:
+    - extended|other-tweet-datasets
+  stance_feminist:
+    - extended|other-tweet-datasets
+  stance_hillary:
+    - extended|other-tweet-datasets
+task_categories:
+  - text-classification
+task_ids:
+  emoji:
+    - multi-class-classification
+  emotion:
+    - multi-class-classification
+    - sentiment-classification
+  hate:
+    - intent-classification
+  irony:
+    - multi-class-classification
+  offensive:
+    - intent-classification
+  sentiment:
+    - multi-class-classification
+    - sentiment-classification
+  stance_abortion:
+    - intent-classification
+    - multi-class-classification
+  stance_atheism:
+    - intent-classification
+    - multi-class-classification
+  stance_climate:
+    - intent-classification
+    - multi-class-classification
+  stance_feminist:
+    - intent-classification
+    - multi-class-classification
+  stance_hillary:
+    - intent-classification
+    - multi-class-classification
+---
+
+# Dataset Card for tweet_eval
+
+## Table of Contents
+
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** [Needs More Information]
+- **Repository:** [GitHub](https://github.com/cardiffnlp/tweeteval)
+- **Paper:** [EMNLP Paper](https://arxiv.org/pdf/2010.12421.pdf)
+- **Leaderboard:** [GitHub Leaderboard](https://github.com/cardiffnlp/tweeteval)
+- **Point of Contact:** [Needs More Information]
+
+### Dataset Summary
+
+TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. The tasks include - irony, hate, offensive, stance, emoji, emotion, and sentiment. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.
+
+### Supported Tasks and Leaderboards
+
+- `text_classification`: The dataset can be trained using a SentenceClassification model from HuggingFace transformers.
+
+### Languages
+
+The text in the dataset is in English, as spoken by Twitter users.
+
+## Dataset Structure
+
+### Data Instances
+
+An instance from `emoji` config:
+
+```
+{'label': 12, 'text': 'Sunday afternoon walking through Venice in the sun with @user ️ ️ ️ @ Abbot Kinney, Venice'}
+```
+
+An instance from `emotion` config:
+
+```
+{'label': 2, 'text': "“Worry is a down payment on a problem you may never have'. \xa0Joyce Meyer.  #motivation #leadership #worry"}
+```
+
+An instance from `hate` config:
+
+```
+{'label': 0, 'text': '@user nice new signage. Are you not concerned by Beatlemania -style hysterical crowds crongregating on you…'}
+```
+
+An instance from `irony` config:
+
+```
+{'label': 1, 'text': 'seeing ppl walking w/ crutches makes me really excited for the next 3 weeks of my life'}
+```
+
+An instance from `offensive` config:
+
+```
+{'label': 0, 'text': '@user Bono... who cares. Soon people will understand that they gain nothing from following a phony celebrity. Become a Leader of your people instead or help and support your fellow countrymen.'}
+```
+
+An instance from `sentiment` config:
+
+```
+{'label': 2, 'text': '"QT @user In the original draft of the 7th book, Remus Lupin survived the Battle of Hogwarts. #HappyBirthdayRemusLupin"'}
+```
+
+An instance from `stance_abortion` config:
+
+```
+{'label': 1, 'text': 'we remind ourselves that love means to be willing to give until it hurts - Mother Teresa'}
+```
+
+An instance from `stance_atheism` config:
+
+```
+{'label': 1, 'text': '@user Bless Almighty God, Almighty Holy Spirit and the Messiah. #SemST'}
+```
+
+An instance from `stance_climate` config:
+
+```
+{'label': 0, 'text': 'Why Is The Pope Upset?  via @user #UnzippedTruth #PopeFrancis #SemST'}
+```
+
+An instance from `stance_feminist` config:
+
+```
+{'label': 1, 'text': "@user @user is the UK's answer to @user and @user  #GamerGate #SemST"}
+```
+
+An instance from `stance_hillary` config:
+
+```
+{'label': 1, 'text': "If a man demanded staff to get him an ice tea he'd be called a sexists elitist pig.. Oink oink #Hillary #SemST"}
+```
+
+### Data Fields
+For `emoji` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: ❤
+
+    `1`: 😍
+
+    `2`: 😂
+
+    `3`: 💕
+
+    `4`: 🔥
+
+    `5`: 😊
+
+    `6`: 😎
+
+    `7`: ✨
+
+    `8`: 💙
+
+    `9`: 😘
+
+    `10`: 📷
+
+    `11`: 🇺🇸
+
+    `12`: ☀
+
+    `13`: 💜
+
+    `14`: 😉
+
+    `15`: 💯
+
+    `16`: 😁
+
+    `17`: 🎄
+
+    `18`: 📸
+
+    `19`: 😜
+
+For `emotion` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: anger
+
+    `1`: joy
+
+    `2`: optimism
+
+    `3`: sadness
+
+For `hate` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: non-hate
+
+    `1`: hate
+
+For `irony` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: non_irony
+
+    `1`: irony
+
+For `offensive` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: non-offensive
+
+    `1`: offensive
+
+For `sentiment` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: negative
+
+    `1`: neutral
+
+    `2`: positive
+
+For `stance_abortion` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+For `stance_atheism` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+For `stance_climate` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+For `stance_feminist` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+For `stance_hillary` config:
+
+- `text`: a `string` feature containing the tweet.
+
+- `label`: an `int` classification label with the following mapping:
+
+    `0`: none
+
+    `1`: against
+
+    `2`: favor
+
+
+
+### Data Splits
+
+| name            | train | validation | test  |
+| --------------- | ----- | ---------- | ----- |
+| emoji           | 45000 | 5000       | 50000 |
+| emotion         | 3257  | 374        | 1421  |
+| hate            | 9000  | 1000       | 2970  |
+| irony           | 2862  | 955        | 784   |
+| offensive       | 11916 | 1324       | 860   |
+| sentiment       | 45615 | 2000       | 12284 |
+| stance_abortion | 587   | 66         | 280   |
+| stance_atheism  | 461   | 52         | 220   |
+| stance_climate  | 355   | 40         | 169   |
+| stance_feminist | 597   | 67         | 285   |
+| stance_hillary  | 620   | 69         | 295   |
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Needs More Information]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[Needs More Information]
+
+#### Who are the source language producers?
+
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+
+[Needs More Information]
+
+#### Who are the annotators?
+
+[Needs More Information]
+
+### Personal and Sensitive Information
+
+[Needs More Information]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Needs More Information]
+
+### Discussion of Biases
+
+[Needs More Information]
+
+### Other Known Limitations
+
+[Needs More Information]
+
+## Additional Information
+
+### Dataset Curators
+
+Francesco Barbieri, Jose Camacho-Collados, Luis Espiinosa-Anke and Leonardo Neves through Cardiff NLP.
+
+### Licensing Information
+
+[Needs More Information]
+### Citation Information
+
+```
+@inproceedings{barbieri2020tweeteval,
+title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},
+author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},
+booktitle={Proceedings of Findings of EMNLP},
+year={2020}
+}
+```
+
+### Contributions
+
+Thanks to [@gchhablani](https://github.com/gchhablani) and [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.

dataset_infos.json

@@ -0,0 +1 @@
+{"emoji": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 20, "names": ["\u2764", "\ud83d\ude0d", "\ud83d\ude02", "\ud83d\udc95", "\ud83d\udd25", "\ud83d\ude0a", "\ud83d\ude0e", "\u2728", "\ud83d\udc99", "\ud83d\ude18", "\ud83d\udcf7", "\ud83c\uddfa\ud83c\uddf8", "\u2600", "\ud83d\udc9c", "\ud83d\ude09", "\ud83d\udcaf", "\ud83d\ude01", "\ud83c\udf84", "\ud83d\udcf8", "\ud83d\ude1c"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "emoji", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3803187, "num_examples": 45000, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 4255921, "num_examples": 50000, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 396083, "num_examples": 5000, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/train_text.txt": {"num_bytes": 3353167, "checksum": "eacb6b0ee1fe2803d72a009c2e731fe07659f604318a979951d2f07c23c564a1"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/train_labels.txt": {"num_bytes": 102760, "checksum": "daee7da826683dbfa50ad3a29c60bc527e498f06c70eabee3745a99cc37ab3a5"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/test_text.txt": {"num_bytes": 3705901, "checksum": "e4de11de1597842c431dd67868e83322f5a432564dfd8558889ed8ac6a1a5e09"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/test_labels.txt": {"num_bytes": 114435, "checksum": "c1662b84788f36674ab8f0106f3e2e7d3e258ddf4959086ac7cc75b1e68dd1f6"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/val_text.txt": {"num_bytes": 341079, "checksum": "3bc3742d6af404cea792671878684d110f3bc02fd79a2e34643789a521d81a26"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emoji/val_labels.txt": {"num_bytes": 11379, "checksum": "21ba456f688668d049ff0fb1fa04469ee684cf4e2467c71d2c3fe5ca2ba1bd1a"}}, "download_size": 7628721, "post_processing_size": null, "dataset_size": 8455191, "size_in_bytes": 16083912}, "emotion": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 4, "names": ["anger", "joy", "optimism", "sadness"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "emotion", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 338875, "num_examples": 3257, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 146649, "num_examples": 1421, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 38277, "num_examples": 374, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/train_text.txt": {"num_bytes": 306630, "checksum": "2c62f67aeb3eac1aea0e5a9c3d0f4bc337992581f3f858061786a1fb4d79d95e"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/train_labels.txt": {"num_bytes": 6514, "checksum": "987e767d8679e18abdf7de37a6d2bcd0a40a296ddd704e8d515cf0e3033c8d9c"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/test_text.txt": {"num_bytes": 132523, "checksum": "7e1070f5d3e3fcece5bc73680bff9981e90d8f7b2f1009bfe7a01d059d1c6091"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/test_labels.txt": {"num_bytes": 2842, "checksum": "245072348c711961785be6d395997f97cf7fcda3effeae7805664171dc75f913"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/val_text.txt": {"num_bytes": 34556, "checksum": "e2e30c86b8cbb97944d6543aedc06eace3bb275cb2f381aba787b838b4f23ca5"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/val_labels.txt": {"num_bytes": 748, "checksum": "313730630160b7e0a6b4235b800c76683f4aeeb72d094eb69646630cd5cfe338"}}, "download_size": 483813, "post_processing_size": null, "dataset_size": 523801, "size_in_bytes": 1007614}, "hate": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["non-hate", "hate"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "hate", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1223654, "num_examples": 9000, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 428938, "num_examples": 2970, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 154148, "num_examples": 1000, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/hate/train_text.txt": {"num_bytes": 1133852, "checksum": "6572bb3a42143128a5dfa99af8debeb0668e637c34b2d1e3140dac47316fe2c2"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/hate/train_labels.txt": {"num_bytes": 18000, "checksum": "4e8fde025a453a25c94632794254131dedeac4e57228ad64157c41571cc88f71"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/hate/test_text.txt": {"num_bytes": 399242, "checksum": "bc4762876a8dd8baa55c3cd7b03108e3231a5d691e80b8b1ef97c5be31b9da9a"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/hate/test_labels.txt": {"num_bytes": 5940, "checksum": "c14adca6b3627616a835c5ccea8a1cceb0235cd79417257f093eb0e16a69c62f"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/hate/val_text.txt": {"num_bytes": 144174, "checksum": "1ff78b1ed4c5ce43284b9eba32eb7d60c6d45d0d1b3b4d6df456ae01640764f1"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/hate/val_labels.txt": {"num_bytes": 2000, "checksum": "5092badf1a0e70036ea6264bcd0b78afc07d0f4a512fa6af34c2c4973600656b"}}, "download_size": 1703208, "post_processing_size": null, "dataset_size": 1806740, "size_in_bytes": 3509948}, "irony": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["non_irony", "irony"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "irony", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 259191, "num_examples": 2862, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 75901, "num_examples": 784, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 86021, "num_examples": 955, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/train_text.txt": {"num_bytes": 231594, "checksum": "a888125a44f7dfaa25b026318748d0e62cc9a300d20f66eafd62011a19eaea23"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/train_labels.txt": {"num_bytes": 5724, "checksum": "fc69e6106c0f1f433a91536e08f83c71a391d7b219f7684d42f243a8089af77d"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/test_text.txt": {"num_bytes": 68057, "checksum": "53103da934a7308eee82f05f2a9781a8ea3e88604fdc1e02d3101108505c64be"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/test_labels.txt": {"num_bytes": 1568, "checksum": "08e2095e1725e74907a380614c220204e356bb46e3e8c93deb74e83e5b15ab38"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/val_text.txt": {"num_bytes": 76760, "checksum": "8806cf3793e300a485cfae34892fc3a0a2f9a183deb06c750c6531515c83051e"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/irony/val_labels.txt": {"num_bytes": 1910, "checksum": "ccf429f63b4e8d0e7f425ca09445f7c31f7cea8a1b7c283b015b117c4002fd07"}}, "download_size": 385613, "post_processing_size": null, "dataset_size": 421113, "size_in_bytes": 806726}, "offensive": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["non-offensive", "offensive"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "offensive", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1648069, "num_examples": 11916, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 135477, "num_examples": 860, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 192421, "num_examples": 1324, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/train_text.txt": {"num_bytes": 1529074, "checksum": "78a7a32e38b10af7d8970b008bf17f661c8d0a90dad145fa0fa6a944669650db"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/train_labels.txt": {"num_bytes": 23832, "checksum": "c0b7d6ebdaa4ebcf6fc557ef1e775d92eda160218a0e3b1dd48eb8234dc892a6"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/test_text.txt": {"num_bytes": 126921, "checksum": "25b08c3333c26190f1023961c4508ec9aab24d4722b1a3ea7a6040724c120547"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/test_labels.txt": {"num_bytes": 1720, "checksum": "41d05a7aa0b01f5dafab21b95adb4f979cb4226c046ff315702774d10dac1605"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/val_text.txt": {"num_bytes": 179188, "checksum": "816f36d180c35f15a5104838cb73856a0bef42043482fe738f3481b06242a55c"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/offensive/val_labels.txt": {"num_bytes": 2648, "checksum": "ed2deb776bd1c52fb8221fadd3360e32d9dfe46842d78053528126e46363a258"}}, "download_size": 1863383, "post_processing_size": null, "dataset_size": 1975967, "size_in_bytes": 3839350}, "sentiment": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["negative", "neutral", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "sentiment", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5425142, "num_examples": 45615, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 1279548, "num_examples": 12284, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 239088, "num_examples": 2000, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/train_text.txt": {"num_bytes": 4970029, "checksum": "368f01052ea6fd8ffc408a2a2e6ac9669e31542581a0396ef16591ea26eb98a6"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/train_labels.txt": {"num_bytes": 91230, "checksum": "122bfb1732fb6995b0e5c5f726c0ba457c469c3b6e60513007ce5037f23e65d4"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/test_text.txt": {"num_bytes": 1156877, "checksum": "09a93a55c63fd93f97485ef7302889d7edb4091cd49733aa37da094f0bfa0675"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/test_labels.txt": {"num_bytes": 24568, "checksum": "6afb4afe9374d1f983bcf9a7c79b108d0f37fdf020a83f30488309bed215db9d"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/val_text.txt": {"num_bytes": 219137, "checksum": "e5b021e6fc45064c260b09814b803d8f56cada519c4d952d72f43d48a350a964"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/sentiment/val_labels.txt": {"num_bytes": 4000, "checksum": "b4566926c72e2e4e2916c864def94e76c4cdde52446af2c7ba4fc2006e057e51"}}, "download_size": 6465841, "post_processing_size": null, "dataset_size": 6943778, "size_in_bytes": 13409619}, "stance_abortion": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["none", "against", "favor"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "stance_abortion", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 68698, "num_examples": 587, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 33175, "num_examples": 280, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 7661, "num_examples": 66, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/abortion/train_text.txt": {"num_bytes": 62828, "checksum": "a421d5b8fd9f972970b9275b83f65745bf81986d2a412b4caa2ba071f3efa916"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/abortion/train_labels.txt": {"num_bytes": 1174, "checksum": "e6786a594bd9a083c524a0f420c690351140b52af288f487cb4772d29675b014"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/abortion/test_text.txt": {"num_bytes": 30371, "checksum": "bf0e16a0b8ca4cf0ab90efbc560db3151c288fc842f5e3c6554e8589d521556a"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/abortion/test_labels.txt": {"num_bytes": 560, "checksum": "c90e6d36d863f876d6661620d37b613b4b07858a5277c8d6623713ee59ca451c"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/abortion/val_text.txt": {"num_bytes": 6997, "checksum": "0428ab3f2894936f2445a9020763c2bd19ed42986872168bb65886dede5843fd"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/abortion/val_labels.txt": {"num_bytes": 132, "checksum": "8df57a50823d5f3683ecf75d824a42e3b08eb52e25e3e2d6928f523097a0c050"}}, "download_size": 102062, "post_processing_size": null, "dataset_size": 109534, "size_in_bytes": 211596}, "stance_atheism": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["none", "against", "favor"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "stance_atheism", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 54779, "num_examples": 461, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 25720, "num_examples": 220, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 6324, "num_examples": 52, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/atheism/train_text.txt": {"num_bytes": 50165, "checksum": "0e82f1d4a16d79a38a68aee761762cf8a846bc8f7f9395670ca44e2ecf2f58f7"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/atheism/train_labels.txt": {"num_bytes": 922, "checksum": "a764aac1a75ccb32c4ffc4c03c66dc365cb50f013d3e94549bf775636cbc8373"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/atheism/test_text.txt": {"num_bytes": 23516, "checksum": "16c5336b2cba606ca63a6afcc50241be63a8fccf021628c6505449439b9d54b3"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/atheism/test_labels.txt": {"num_bytes": 440, "checksum": "4ef7c9398d265cfac625092c834e43cef9da9cb318e563493abb64f65dfe1b52"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/atheism/val_text.txt": {"num_bytes": 5800, "checksum": "5fe14c4c01f87a45dba640dddbb1d1909a893f9565f159c48fa1ba35bb46c209"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/atheism/val_labels.txt": {"num_bytes": 104, "checksum": "638095b3582f927fd1481cdb8d1f9f670f8d27880baf32c0b26c5946fd8f8292"}}, "download_size": 80947, "post_processing_size": null, "dataset_size": 86823, "size_in_bytes": 167770}, "stance_climate": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["none", "against", "favor"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "stance_climate", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 40253, "num_examples": 355, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 19929, "num_examples": 169, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 4805, "num_examples": 40, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/climate/train_text.txt": {"num_bytes": 36699, "checksum": "4803211832d318026323a8e5014cff1b95e1c8c3854378101e5d1a8c82582eb7"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/climate/train_labels.txt": {"num_bytes": 710, "checksum": "d6274f55bc95f5a7f2ae591b886c1414a7664aaf4e0c609f4ba6cf377929af18"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/climate/test_text.txt": {"num_bytes": 18235, "checksum": "41ee8ee2ad3c36e0629654fdb271f37775197c79be8b299adbeadd2003b63c53"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/climate/test_labels.txt": {"num_bytes": 338, "checksum": "193c9f2358f61d9efe558324ec89ecaf08e600a44b68128f47838c01d9f98dfd"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/climate/val_text.txt": {"num_bytes": 4401, "checksum": "fc5714703add266801ee2fd98296ea20ec0879e89cdb9f906d9812d9f640f2ba"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/climate/val_labels.txt": {"num_bytes": 80, "checksum": "0cb133ab9b137292f075210db45f7e293dc52798a4e21e59037bfcfe66c97aa6"}}, "download_size": 60463, "post_processing_size": null, "dataset_size": 64987, "size_in_bytes": 125450}, "stance_feminist": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["none", "against", "favor"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "stance_feminist", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 70513, "num_examples": 597, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 33309, "num_examples": 285, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 8039, "num_examples": 67, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/feminist/train_text.txt": {"num_bytes": 64539, "checksum": "c176e6663973c8e78bfa92ba1e8874a70cc5358567d71584a90943bc6525eaab"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/feminist/train_labels.txt": {"num_bytes": 1194, "checksum": "abd4f196d801423bb0daba8c0ecf5b3efba1f10e8f410c3dfa360b50c8b9c685"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/feminist/test_text.txt": {"num_bytes": 30455, "checksum": "1bfdbdc2af64fd62dcc775d1288e192ac8ff805ef27ccf3aaac54a98616eefda"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/feminist/test_labels.txt": {"num_bytes": 570, "checksum": "ddbde6d253ee47c5d5ef8bc5386270fde45cf088d3be70bba9c382b8a024897a"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/feminist/val_text.txt": {"num_bytes": 7365, "checksum": "3518b2ddcf696626a7243d7cea720a975718c7a52a5a086931be87897c1de58b"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/feminist/val_labels.txt": {"num_bytes": 134, "checksum": "399e0d468d0e4ead7a445f69efdf35876c835acf4cefc00a16f451a5d42e5c13"}}, "download_size": 104257, "post_processing_size": null, "dataset_size": 111861, "size_in_bytes": 216118}, "stance_hillary": {"description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n", "citation": "@inproceedings{barbieri2020tweeteval,\n  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},\n  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},\n  booktitle={Proceedings of Findings of EMNLP},\n  year={2020}\n}\n", "homepage": "https://github.com/cardiffnlp/tweeteval", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["none", "against", "favor"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": " tweet_eval", "config_name": "stance_hillary", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 69600, "num_examples": 620, "dataset_name": " tweet_eval"}, "test": {"name": "test", "num_bytes": 34491, "num_examples": 295, "dataset_name": " tweet_eval"}, "validation": {"name": "validation", "num_bytes": 7536, "num_examples": 69, "dataset_name": " tweet_eval"}}, "download_checksums": {"https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/hillary/train_text.txt": {"num_bytes": 63398, "checksum": "0bd735de895cb74d63c224e64e3d955cac99be97aa225f803fe4d2f5978a2c99"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/hillary/train_labels.txt": {"num_bytes": 1240, "checksum": "0ea5753d13a717a9e91581d1d89c0b5206c8f905f0a717b2b27d02dbf419250d"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/hillary/test_text.txt": {"num_bytes": 31537, "checksum": "5c4e020285a62cfd88f264849e1db242ded356c171b1a68dd0050b76635053aa"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/hillary/test_labels.txt": {"num_bytes": 590, "checksum": "068468f6a72b85dfb65bf10e45f2453fa082d1ea9d7a40e7f560d5b6d75027f3"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/hillary/val_text.txt": {"num_bytes": 6842, "checksum": "9714b7dcc8617e095433d7b63df8aa155eb84216b9ac9195105ab83d85cd248d"}, "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/stance/hillary/val_labels.txt": {"num_bytes": 138, "checksum": "e5d44c771b7349a4a74309f56ca072fdf8f1c015068d519ca2ed3a931c833606"}}, "download_size": 103745, "post_processing_size": null, "dataset_size": 111627, "size_in_bytes": 215372}}

dummy/emoji/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02eb645424bd72fd3861b0d33dc615fb59a4589f3012077cacbc2ad9a72e4b1e
+size 1649

dummy/emotion/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:768f0fcecb7049f4177436c0d658fda6ed8aeefd111f09bc9484a1de14ffc4d6
+size 1919

dummy/hate/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f919b81149903e2cfd5ce1a35334c4f79c0f7faa04c3c553d8ad8612dd0ec2ca
+size 2060

dummy/irony/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9fe0442f2a443fd59ac5616c595fc097ea903cc3c12eb9a2b76ba9bc12046c2c
+size 1757

dummy/offensive/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc349976f11f1817c0571de0227e9122838794952a991dc2cc063e54d423cba5
+size 2233

dummy/sentiment/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22183ce313f65c9c0bb729342db484265daef7f560cc51469316465619ba347e
+size 1941

dummy/stance_abortion/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f2166e5b997c35ebc0b4480d5568fcf0022bb94270d7e10302e17cc354040df
+size 1927

dummy/stance_atheism/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51f174d94c00b71409e7a07db8a145d93725398639193c94b05af89b273c0430
+size 1891

dummy/stance_climate/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5000c4fe274879381bbd31e4c56b987116709f566d8f058d1397f65c31ee85fc
+size 1887

dummy/stance_feminist/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48e5cd270737a6515d8cab65de9c46195dd5d0108efe403b28dfc2c26b720ce9
+size 1904

dummy/stance_hillary/1.1.0/dummy_data.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80cc08eb14a3d8e81d14c087f960b5423ed4e25b4ef6318603161fe63762cca5
+size 1874

tweet_eval.py

@@ -0,0 +1,250 @@
+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""The Tweet Eval Datasets"""
+
+from __future__ import absolute_import, division, print_function
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{barbieri2020tweeteval,
+  title={{TweetEval:Unified Benchmark and Comparative Evaluation for Tweet Classification}},
+  author={Barbieri, Francesco and Camacho-Collados, Jose and Espinosa-Anke, Luis and Neves, Leonardo},
+  booktitle={Proceedings of Findings of EMNLP},
+  year={2020}
+}
+"""
+
+_DESCRIPTION = """\
+TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.
+"""
+
+_HOMEPAGE = "https://github.com/cardiffnlp/tweeteval"
+
+_LICENSE = ""
+
+URL = "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/"
+
+_URLs = {
+    "emoji": {
+        "train_text": URL + "emoji/train_text.txt",
+        "train_labels": URL + "emoji/train_labels.txt",
+        "test_text": URL + "emoji/test_text.txt",
+        "test_labels": URL + "emoji/test_labels.txt",
+        "val_text": URL + "emoji/val_text.txt",
+        "val_labels": URL + "emoji/val_labels.txt",
+    },
+    "emotion": {
+        "train_text": URL + "emotion/train_text.txt",
+        "train_labels": URL + "emotion/train_labels.txt",
+        "test_text": URL + "emotion/test_text.txt",
+        "test_labels": URL + "emotion/test_labels.txt",
+        "val_text": URL + "emotion/val_text.txt",
+        "val_labels": URL + "emotion/val_labels.txt",
+    },
+    "hate": {
+        "train_text": URL + "hate/train_text.txt",
+        "train_labels": URL + "hate/train_labels.txt",
+        "test_text": URL + "hate/test_text.txt",
+        "test_labels": URL + "hate/test_labels.txt",
+        "val_text": URL + "hate/val_text.txt",
+        "val_labels": URL + "hate/val_labels.txt",
+    },
+    "irony": {
+        "train_text": URL + "irony/train_text.txt",
+        "train_labels": URL + "irony/train_labels.txt",
+        "test_text": URL + "irony/test_text.txt",
+        "test_labels": URL + "irony/test_labels.txt",
+        "val_text": URL + "irony/val_text.txt",
+        "val_labels": URL + "irony/val_labels.txt",
+    },
+    "offensive": {
+        "train_text": URL + "offensive/train_text.txt",
+        "train_labels": URL + "offensive/train_labels.txt",
+        "test_text": URL + "offensive/test_text.txt",
+        "test_labels": URL + "offensive/test_labels.txt",
+        "val_text": URL + "offensive/val_text.txt",
+        "val_labels": URL + "offensive/val_labels.txt",
+    },
+    "sentiment": {
+        "train_text": URL + "sentiment/train_text.txt",
+        "train_labels": URL + "sentiment/train_labels.txt",
+        "test_text": URL + "sentiment/test_text.txt",
+        "test_labels": URL + "sentiment/test_labels.txt",
+        "val_text": URL + "sentiment/val_text.txt",
+        "val_labels": URL + "sentiment/val_labels.txt",
+    },
+    "stance": {
+        "abortion": {
+            "train_text": URL + "stance/abortion/train_text.txt",
+            "train_labels": URL + "stance/abortion/train_labels.txt",
+            "test_text": URL + "stance/abortion/test_text.txt",
+            "test_labels": URL + "stance/abortion/test_labels.txt",
+            "val_text": URL + "stance/abortion/val_text.txt",
+            "val_labels": URL + "stance/abortion/val_labels.txt",
+        },
+        "atheism": {
+            "train_text": URL + "stance/atheism/train_text.txt",
+            "train_labels": URL + "stance/atheism/train_labels.txt",
+            "test_text": URL + "stance/atheism/test_text.txt",
+            "test_labels": URL + "stance/atheism/test_labels.txt",
+            "val_text": URL + "stance/atheism/val_text.txt",
+            "val_labels": URL + "stance/atheism/val_labels.txt",
+        },
+        "climate": {
+            "train_text": URL + "stance/climate/train_text.txt",
+            "train_labels": URL + "stance/climate/train_labels.txt",
+            "test_text": URL + "stance/climate/test_text.txt",
+            "test_labels": URL + "stance/climate/test_labels.txt",
+            "val_text": URL + "stance/climate/val_text.txt",
+            "val_labels": URL + "stance/climate/val_labels.txt",
+        },
+        "feminist": {
+            "train_text": URL + "stance/feminist/train_text.txt",
+            "train_labels": URL + "stance/feminist/train_labels.txt",
+            "test_text": URL + "stance/feminist/test_text.txt",
+            "test_labels": URL + "stance/feminist/test_labels.txt",
+            "val_text": URL + "stance/feminist/val_text.txt",
+            "val_labels": URL + "stance/feminist/val_labels.txt",
+        },
+        "hillary": {
+            "train_text": URL + "stance/hillary/train_text.txt",
+            "train_labels": URL + "stance/hillary/train_labels.txt",
+            "test_text": URL + "stance/hillary/test_text.txt",
+            "test_labels": URL + "stance/hillary/test_labels.txt",
+            "val_text": URL + "stance/hillary/val_text.txt",
+            "val_labels": URL + "stance/hillary/val_labels.txt",
+        },
+    },
+}
+
+
+class TweetEvalConfig(datasets.BuilderConfig):
+    def __init__(self, *args, type=None, sub_type=None, **kwargs):
+        super().__init__(
+            *args,
+            name=f"{type}" if type != "stance" else f"{type}_{sub_type}",
+            **kwargs,
+        )
+        self.type = type
+        self.sub_type = sub_type
+
+
+class TweetEval(datasets.GeneratorBasedBuilder):
+    """TweetEval Dataset."""
+
+    BUILDER_CONFIGS = [
+        TweetEvalConfig(
+            type=key,
+            sub_type=None,
+            version=datasets.Version("1.1.0"),
+            description=f"This part of my dataset covers {key} part of TweetEval Dataset.",
+        )
+        for key in list(_URLs.keys())
+        if key != "stance"
+    ] + [
+        TweetEvalConfig(
+            type="stance",
+            sub_type=key,
+            version=datasets.Version("1.1.0"),
+            description=f"This part of my dataset covers stance_{key} part of TweetEval Dataset.",
+        )
+        for key in list(_URLs["stance"].keys())
+    ]
+
+    def _info(self):
+        if self.config.type == "stance":
+            names = ["none", "against", "favor"]
+        elif self.config.type == "sentiment":
+            names = ["negative", "neutral", "positive"]
+        elif self.config.type == "offensive":
+            names = ["non-offensive", "offensive"]
+        elif self.config.type == "irony":
+            names = ["non_irony", "irony"]
+        elif self.config.type == "hate":
+            names = ["non-hate", "hate"]
+        elif self.config.type == "emoji":
+            names = [
+                "❤",
+                "😍",
+                "😂",
+                "💕",
+                "🔥",
+                "😊",
+                "😎",
+                "✨",
+                "💙",
+                "😘",
+                "📷",
+                "🇺🇸",
+                "☀",
+                "💜",
+                "😉",
+                "💯",
+                "😁",
+                "🎄",
+                "📸",
+                "😜",
+            ]
+
+        else:
+            names = ["anger", "joy", "optimism", "sadness"]
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {"text": datasets.Value("string"), "label": datasets.features.ClassLabel(names=names)}
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        if self.config.type != "stance":
+            my_urls = _URLs[self.config.type]
+        else:
+            my_urls = _URLs[self.config.type][self.config.sub_type]
+        data_dir = dl_manager.download_and_extract(my_urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"text_path": data_dir["train_text"], "labels_path": data_dir["train_labels"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"text_path": data_dir["test_text"], "labels_path": data_dir["test_labels"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"text_path": data_dir["val_text"], "labels_path": data_dir["val_labels"]},
+            ),
+        ]
+
+    def _generate_examples(self, text_path, labels_path):
+        """ Yields examples. """
+
+        with open(text_path, encoding="utf-8") as f:
+            texts = f.readlines()
+        with open(labels_path, encoding="utf-8") as f:
+            labels = f.readlines()
+        for i, text in enumerate(texts):
+            yield i, {"text": text.strip(), "label": int(labels[i].strip())}