Datasets:

strombergnlp
/

offenseval_2020

{"ar": {"description": "OffensEval 2020 features a multilingual dataset with five languages. 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The languages included in OffensEval 2020 are:\n\n* Arabic\n* Danish\n* English\n* Greek\n* Turkish\n\nThe annotation follows the hierarchical tagset proposed in the Offensive Language Identification Dataset (OLID) and used in OffensEval 2019. \nIn this taxonomy we break down offensive content into the following three sub-tasks taking the type and target of offensive content into account. \nThe following sub-tasks were organized:\n\n* Sub-task A - Offensive language identification;\n* Sub-task B - Automatic categorization of offense types;\n* Sub-task C - Offense target identification.\n\nThe English training data isn't included here (the text isn't available and needs rehydration of 9 million tweets; \nsee [https://zenodo.org/record/3950379#.XxZ-aFVKipp](https://zenodo.org/record/3950379#.XxZ-aFVKipp))\n", "citation": "@inproceedings{zampieri-etal-2020-semeval,\n title = \"{S}em{E}val-2020 Task 12: Multilingual Offensive Language Identification in Social Media ({O}ffens{E}val 2020)\",\n author = {Zampieri, Marcos and\n Nakov, Preslav and\n Rosenthal, Sara and\n Atanasova, Pepa and\n Karadzhov, Georgi and\n Mubarak, Hamdy and\n Derczynski, Leon and\n Pitenis, Zeses and\n Coltekin, Cagri,\n booktitle = \"Proceedings of the Fourteenth Workshop on Semantic Evaluation\",\n month = dec,\n year = \"2020\",\n address = \"Barcelona (online)\",\n publisher = \"International Committee for Computational Linguistics\",\n url = \"https://aclanthology.org/2020.semeval-1.188\",\n doi = \"10.18653/v1/2020.semeval-1.188\",\n pages = \"1425--1447\",\n}\n", "homepage": "https://sites.google.com/site/offensevalsharedtask/results-and-paper-submission", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "original_id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "subtask_a": {"num_classes": 2, "names": ["OFF", "NOT"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "offens_eval2020", "config_name": "da", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 398697, "num_examples": 2961, "dataset_name": "offens_eval2020"}, "test": {"name": "test", "num_bytes": 38372, "num_examples": 329, "dataset_name": "offens_eval2020"}}, "download_checksums": {"offenseval-da-training-v1.tsv": {"num_bytes": 345829, "checksum": "4701ddcccf3b438dce370a4467f6e37ae489822a22eeeeffe27ad4f2020c63c3"}, "offenseval-da-labela-v1.csv": {"num_bytes": 2829, "checksum": "132212843033d68136bfe4f6621fed72d1848d3f500201ff3f8670e15ba81de8"}, "offenseval-da-test-v1.tsv": {"num_bytes": 31588, "checksum": "f96deeeb2df72d079145934681ccd20dff6453663fdc8d410a0bdd5a83493232"}}, "download_size": 380246, "post_processing_size": null, "dataset_size": 437069, "size_in_bytes": 817315}, "en": {"description": "OffensEval 2020 features a multilingual dataset with five languages. The languages included in OffensEval 2020 are:\n\n* Arabic\n* Danish\n* English\n* Greek\n* Turkish\n\nThe annotation follows the hierarchical tagset proposed in the Offensive Language Identification Dataset (OLID) and used in OffensEval 2019. \nIn this taxonomy we break down offensive content into the following three sub-tasks taking the type and target of offensive content into account. \nThe following sub-tasks were organized:\n\n* Sub-task A - Offensive language identification;\n* Sub-task B - Automatic categorization of offense types;\n* Sub-task C - Offense target identification.\n\nThe English training data isn't included here (the text isn't available and needs rehydration of 9 million tweets; \nsee [https://zenodo.org/record/3950379#.XxZ-aFVKipp](https://zenodo.org/record/3950379#.XxZ-aFVKipp))\n", "citation": "@inproceedings{zampieri-etal-2020-semeval,\n title = \"{S}em{E}val-2020 Task 12: Multilingual Offensive Language Identification in Social Media ({O}ffens{E}val 2020)\",\n author = {Zampieri, Marcos and\n Nakov, Preslav and\n Rosenthal, Sara and\n Atanasova, Pepa and\n Karadzhov, Georgi and\n Mubarak, Hamdy and\n Derczynski, Leon and\n Pitenis, Zeses and\n Coltekin, Cagri,\n booktitle = \"Proceedings of the Fourteenth Workshop on Semantic Evaluation\",\n month = dec,\n year = \"2020\",\n address = \"Barcelona (online)\",\n publisher = \"International Committee for Computational Linguistics\",\n url = \"https://aclanthology.org/2020.semeval-1.188\",\n doi = \"10.18653/v1/2020.semeval-1.188\",\n pages = \"1425--1447\",\n}\n", "homepage": "https://sites.google.com/site/offensevalsharedtask/results-and-paper-submission", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "original_id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "subtask_a": {"num_classes": 2, "names": ["OFF", "NOT"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "offens_eval2020", "config_name": "en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 0, "num_examples": 0, "dataset_name": "offens_eval2020"}, "test": {"name": "test", "num_bytes": 421743, "num_examples": 3887, "dataset_name": "offens_eval2020"}}, "download_checksums": {"offenseval-en-training-v1.tsv": {"num_bytes": 23, "checksum": "2f49126e616d2d2c2e4d859f91be555e0b06b8c09b2cbe9112c24030f1ef1c99"}, "offenseval-en-labela-v1.csv": {"num_bytes": 37760, "checksum": "1c5de13022a8ff6dff2c513efe144f7267ce9df9cf6edef1ef62dcd138f23658"}, "offenseval-en-test-v1.tsv": {"num_bytes": 337449, "checksum": "ae60a2a7d493fb27271b462b472d6ef60d61551aa89ce5dcff41258bd45823ea"}}, "download_size": 375232, "post_processing_size": null, "dataset_size": 421743, "size_in_bytes": 796975}, "gr": {"description": "OffensEval 2020 features a multilingual dataset with five languages. The languages included in OffensEval 2020 are:\n\n* Arabic\n* Danish\n* English\n* Greek\n* Turkish\n\nThe annotation follows the hierarchical tagset proposed in the Offensive Language Identification Dataset (OLID) and used in OffensEval 2019. \nIn this taxonomy we break down offensive content into the following three sub-tasks taking the type and target of offensive content into account. \nThe following sub-tasks were organized:\n\n* Sub-task A - Offensive language identification;\n* Sub-task B - Automatic categorization of offense types;\n* Sub-task C - Offense target identification.\n\nThe English training data isn't included here (the text isn't available and needs rehydration of 9 million tweets; \nsee [https://zenodo.org/record/3950379#.XxZ-aFVKipp](https://zenodo.org/record/3950379#.XxZ-aFVKipp))\n", "citation": "@inproceedings{zampieri-etal-2020-semeval,\n title = \"{S}em{E}val-2020 Task 12: Multilingual Offensive Language Identification in Social Media ({O}ffens{E}val 2020)\",\n author = {Zampieri, Marcos and\n Nakov, Preslav and\n Rosenthal, Sara and\n Atanasova, Pepa and\n Karadzhov, Georgi and\n Mubarak, Hamdy and\n Derczynski, Leon and\n Pitenis, Zeses and\n Coltekin, Cagri,\n booktitle = \"Proceedings of the Fourteenth Workshop on Semantic Evaluation\",\n month = dec,\n year = \"2020\",\n address = \"Barcelona (online)\",\n publisher = \"International Committee for Computational Linguistics\",\n url = \"https://aclanthology.org/2020.semeval-1.188\",\n doi = \"10.18653/v1/2020.semeval-1.188\",\n pages = \"1425--1447\",\n}\n", "homepage": "https://sites.google.com/site/offensevalsharedtask/results-and-paper-submission", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "original_id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "subtask_a": {"num_classes": 2, "names": ["OFF", "NOT"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "offens_eval2020", "config_name": "gr", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1864006, "num_examples": 8743, "dataset_name": "offens_eval2020"}, "test": {"name": "test", "num_bytes": 333232, "num_examples": 1544, "dataset_name": "offens_eval2020"}}, "download_checksums": {"offenseval-gr-training-v1.tsv": {"num_bytes": 1718398, "checksum": "ced53064ea556009f8725c5c6ab5ad246579420a2ad2a8502d74a16f7ef8cf0d"}, "offenseval-gr-labela-v1.csv": {"num_bytes": 13757, "checksum": "78ccbe32fae6938200c61a62df1abd8aa3b438e5e53b3f7ea63dbc83b89e238b"}, "offenseval-gr-test-v1.tsv": {"num_bytes": 300740, "checksum": "b69b3f98feb0fbde0f8070462f2eab96db5a435959c9b83c1c3526dd8d82e1b8"}}, "download_size": 2032895, "post_processing_size": null, "dataset_size": 2197238, "size_in_bytes": 4230133}, "tr": {"description": "OffensEval 2020 features a multilingual dataset with five languages. 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