Datasets:

strombergnlp
/

shaj

{"Shaj": {"description": "This is an abusive/offensive language detection dataset for Albanian. The data is formatted\nfollowing the OffensEval convention, with three tasks:\n\n* Subtask A: Offensive (OFF) or not (NOT)\n* Subtask B: Untargeted (UNT) or targeted insult (TIN)\n* Subtask C: Type of target: individual (IND), group (GRP), or other (OTH)\n\n* The subtask A field should always be filled.\n* The subtask B field should only be filled if there's \"offensive\" (OFF) in A.\n* The subtask C field should only be filled if there's \"targeted\" (TIN) in B.\n\nThe dataset name is a backronym, also standing for \"Spoken Hate in the Albanian Jargon\"\n\nSee the paper [https://arxiv.org/abs/2107.13592](https://arxiv.org/abs/2107.13592) for full details.\n", "citation": "@article{nurce2021detecting,\n title={Detecting Abusive Albanian},\n author={Nurce, Erida and Keci, Jorgel and Derczynski, Leon},\n journal={arXiv preprint arXiv:2107.13592},\n year={2021}\n}\n", "homepage": "https://arxiv.org/abs/2107.13592", "license": "", "features": {"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"}, "subtask_b": {"num_classes": 3, "names": ["TIN", "UNT", ""], "id": null, "_type": "ClassLabel"}, "subtask_c": {"num_classes": 4, "names": ["IND", "GRP", "OTH", ""], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "shaj", "config_name": "Shaj", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1112341, "num_examples": 11874, "dataset_name": "shaj"}}, "download_checksums": {"full_albanian_dataset.csv": {"num_bytes": 787636, "checksum": "dfa908dff5bf8c6d0b5cc3a2ccb84b79cae623f46f3357d8633167f6dca34c1d"}}, "download_size": 787636, "post_processing_size": null, "dataset_size": 1112341, "size_in_bytes": 1899977}}