Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-label-classification
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
Commit
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8ab5673
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Parent(s):
4ea28b6
Delete legacy JSON metadata
Browse filesDelete legacy `dataset_infos.json`.
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dataset_infos.json
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{"alleged-violation-prediction": {"description": "The ECtHR Cases dataset is designed for experimentation of neural judgment prediction and rationale extraction considering ECtHR cases.\n", "citation": "@InProceedings{chalkidis-et-al-2021-ecthr,\n title = \"Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases\",\n author = \"Chalkidis, Ilias and Fergadiotis, Manos and Tsarapatsanis, Dimitrios and Aletras, Nikolaos and Androutsopoulos, Ion and Malakasiotis, Prodromos\",\n booktitle = \"Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics\",\n year = \"2021\",\n address = \"Mexico City, Mexico\",\n publisher = \"Association for Computational Linguistics\"\n}\n", "homepage": "http://archive.org/details/ECtHR-NAACL2021/", "license": "CC BY-NC-SA (Creative Commons / Attribution-NonCommercial-ShareAlike)", "features": {"facts": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "labels": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "silver_rationales": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "gold_rationales": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": {"input": "facts", "output": "label"}, "builder_name": "ecthr_cases", "config_name": "alleged-violation-prediction", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 89835266, "num_examples": 9000, "dataset_name": "ecthr_cases"}, "test": {"name": "test", "num_bytes": 11917598, "num_examples": 1000, "dataset_name": "ecthr_cases"}, "validation": {"name": "validation", "num_bytes": 11015998, "num_examples": 1000, "dataset_name": "ecthr_cases"}}, "download_checksums": {"http://archive.org/download/ECtHR-NAACL2021/dataset.zip": {"num_bytes": 32815448, "checksum": "f3b6d100d209fe8790f328cc7f2ea548bf7552953a50cf696bcfe02097894617"}}, "download_size": 32815448, "post_processing_size": null, "dataset_size": 112768862, "size_in_bytes": 145584310}, "violation-prediction": {"description": "The ECtHR Cases dataset is designed for experimentation of neural judgment prediction and rationale extraction considering ECtHR cases.\n", "citation": "@InProceedings{chalkidis-et-al-2021-ecthr,\n title = \"Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases\",\n author = \"Chalkidis, Ilias and Fergadiotis, Manos and Tsarapatsanis, Dimitrios and Aletras, Nikolaos and Androutsopoulos, Ion and Malakasiotis, Prodromos\",\n booktitle = \"Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics\",\n year = \"2021\",\n address = \"Mexico City, Mexico\",\n publisher = \"Association for Computational Linguistics\"\n}\n", "homepage": "http://archive.org/details/ECtHR-NAACL2021/", "license": "CC BY-NC-SA (Creative Commons / Attribution-NonCommercial-ShareAlike)", "features": {"facts": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "labels": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "silver_rationales": {"feature": {"dtype": "int32", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": {"input": "facts", "output": "label"}, "builder_name": "ecthr_cases", "config_name": "violation-prediction", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 89776410, "num_examples": 9000, "dataset_name": "ecthr_cases"}, "test": {"name": "test", "num_bytes": 11909314, "num_examples": 1000, "dataset_name": "ecthr_cases"}, "validation": {"name": "validation", "num_bytes": 11009350, "num_examples": 1000, "dataset_name": "ecthr_cases"}}, "download_checksums": {"http://archive.org/download/ECtHR-NAACL2021/dataset.zip": {"num_bytes": 32815448, "checksum": "f3b6d100d209fe8790f328cc7f2ea548bf7552953a50cf696bcfe02097894617"}}, "download_size": 32815448, "post_processing_size": null, "dataset_size": 112695074, "size_in_bytes": 145510522}}
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