| { | |
| "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", | |
| "_type": "Value" | |
| }, | |
| "label": { | |
| "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" | |
| ], | |
| "_type": "ClassLabel" | |
| } | |
| }, | |
| "builder_name": "tweet_eval", | |
| "dataset_name": "tweet_eval", | |
| "config_name": "emoji", | |
| "version": { | |
| "version_str": "1.1.0", | |
| "major": 1, | |
| "minor": 1, | |
| "patch": 0 | |
| }, | |
| "splits": { | |
| "train": { | |
| "name": "train", | |
| "num_bytes": 3803167, | |
| "num_examples": 45000, | |
| "dataset_name": null | |
| }, | |
| "test": { | |
| "name": "test", | |
| "num_bytes": 4255901, | |
| "num_examples": 50000, | |
| "dataset_name": null | |
| }, | |
| "validation": { | |
| "name": "validation", | |
| "num_bytes": 396079, | |
| "num_examples": 5000, | |
| "dataset_name": null | |
| } | |
| }, | |
| "download_size": 5939308, | |
| "dataset_size": 8455147, | |
| "size_in_bytes": 14394455 | |
| }, | |
| "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 | |
| } | |
| } |