legalglue / dataset_infos.json
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Proceedings of the 15th International Conference\n (SEMANTiCS 2019)},\nyear = 2019,\neditor = {Maribel Acosta and Philippe Cudr\u00e9-Mauroux and Maria\n Maleshkova and Tassilo Pellegrini and Harald Sack and York\n Sure-Vetter},\nkeywords = {aip},\npublisher = {Springer},\nseries = {Lecture Notes in Computer Science},\nnumber = {11702},\naddress = {Karlsruhe, Germany},\nmonth = 9,\nnote = {10/11 September 2019},\npages = {272--287},\npdf = {https://link.springer.com/content/pdf/10.1007%2F978-3-030-33220-4_20.pdf}}\n", "homepage": "https://github.com/elenanereiss/Legal-Entity-Recognition", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "ner_tags": {"feature": {"num_classes": 39, "names": ["B-AN", "B-EUN", "B-GRT", "B-GS", "B-INN", "B-LD", "B-LDS", "B-LIT", "B-MRK", "B-ORG", "B-PER", "B-RR", "B-RS", "B-ST", "B-STR", "B-UN", "B-VO", "B-VS", "B-VT", "I-AN", "I-EUN", "I-GRT", "I-GS", "I-INN", "I-LD", "I-LDS", "I-LIT", "I-MRK", "I-ORG", "I-PER", "I-RR", "I-RS", "I-ST", "I-STR", "I-UN", "I-VO", "I-VS", "I-VT", "O"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "legal_glue", "config_name": "german_ler", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 38853928, "num_examples": 66723, "dataset_name": "legal_glue"}}, "download_checksums": {"https://raw.githubusercontent.com/elenanereiss/Legal-Entity-Recognition/master/data/dataset_courts.zip": {"num_bytes": 4392913, "checksum": "f0427df5fb8bfdefe5228bc0fa0e75e9cfa782d1a78e32582cce096473c88567"}}, "download_size": 4392913, "post_processing_size": null, "dataset_size": 38853928, "size_in_bytes": 43246841}, "lener_br": {"description": "LeNER-Br is a Portuguese language dataset for named entity recognition\napplied to legal documents. 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We also provide additional metadata, i.e., the publication year, the legal area and the canton of origin per case, to promote robustness and fairness studies on the critical area of legal NLP.\n", "citation": "@InProceedings{niklaus-etal-2021-swiss,\nauthor = {Niklaus, Joel\n and Chalkidis, Ilias\n and St\u00fcrmer, Matthias},\ntitle = {Swiss-Court-Predict: A Multilingual Legal Judgment Prediction Benchmark},\nbooktitle = {Proceedings of the 2021 Natural Legal Language Processing Workshop},\nyear = {2021},\nlocation = {Punta Cana, Dominican Republic},\n}", "homepage": "https://github.com/JoelNiklaus/SwissCourtRulingCorpus", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "year": {"dtype": "int32", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 2, "names": ["dismissal", "approval"], "names_file": null, "id": null, "_type": "ClassLabel"}, "language": {"dtype": "string", "id": null, 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