Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
expert-generated
found
Source Datasets:
original
ArXiv:
License:
albertvillanova HF staff commited on
Commit
1351ba4
1 Parent(s): 4ea28b6

Delete legacy JSON metadata (#2)

Browse files

- Delete legacy JSON metadata (8ab5673be506138bc846b14a7dc5f0aaf2565688)

Files changed (1) hide show
  1. dataset_infos.json +0 -1
dataset_infos.json DELETED
@@ -1 +0,0 @@
1
- {"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}}