Datasets:

fever
/

fever

- {"v1.0": {"description": "FEVER v1.0\nFEVER (Fact Extraction and VERification) consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from. The claims are classified as Supported, Refuted or NotEnoughInfo. For the first two classes, the annotators also recorded the sentence(s) forming the necessary evidence for their judgment.", "citation": "@inproceedings{Thorne18Fever,\n author = {Thorne, James and Vlachos, Andreas and Christodoulopoulos, Christos and Mittal, Arpit},\n title = {{FEVER}: a Large-scale Dataset for Fact Extraction and {VERification}},\n booktitle = {NAACL-HLT},\n year = {2018}\n}", "homepage": "https://fever.ai/dataset/fever.html", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "label": {"dtype": "string", "id": null, "_type": "Value"}, "claim": {"dtype": "string", "id": null, "_type": "Value"}, "evidence_annotation_id": {"dtype": "int32", "id": null, "_type": "Value"}, "evidence_id": {"dtype": "int32", "id": null, "_type": "Value"}, "evidence_wiki_url": {"dtype": "string", "id": null, "_type": "Value"}, "evidence_sentence_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "fever", "config_name": "v1.0", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 29591412, "num_examples": 311431, "dataset_name": "fever"}, "labelled_dev": {"name": "labelled_dev", "num_bytes": 3643157, "num_examples": 37566, "dataset_name": "fever"}, "unlabelled_dev": {"name": "unlabelled_dev", "num_bytes": 1548965, "num_examples": 19998, "dataset_name": "fever"}, "unlabelled_test": {"name": "unlabelled_test", "num_bytes": 1617002, "num_examples": 19998, "dataset_name": "fever"}, "paper_dev": {"name": "paper_dev", "num_bytes": 1821489, "num_examples": 18999, "dataset_name": "fever"}, "paper_test": {"name": "paper_test", "num_bytes": 1821668, "num_examples": 18567, "dataset_name": "fever"}}, "download_checksums": {"https://fever.ai/download/fever/train.jsonl": {"num_bytes": 33024303, "checksum": "eba7e8f87076753f8494718b9a857827af7bf73e76c9e4b75420207d26e588b6"}, "https://fever.ai/download/fever/shared_task_dev.jsonl": {"num_bytes": 4349935, "checksum": "e89865bfe1b4dd054e03dd57d7241a6fde24862905f31117cf0cd719f7c78df7"}, "https://fever.ai/download/fever/shared_task_dev_public.jsonl": {"num_bytes": 1530640, "checksum": "acda01ae5ee7e75c73909a665f465cec20704ea26e9d676cd7423ff2c8ab0e8b"}, "https://fever.ai/download/fever/shared_task_test.jsonl": {"num_bytes": 1599159, "checksum": "76dd0872d8fa1f49efe1194fe8a88b7dd4c715c77d87a142b615d4be583e1e51"}, "https://fever.ai/download/fever/paper_dev.jsonl": {"num_bytes": 2168767, "checksum": "41158707810008747946bf23471e82df53e77a513524b9e3ec1c2e674ef5ef8c"}, "https://fever.ai/download/fever/paper_test.jsonl": {"num_bytes": 2181168, "checksum": "fb7b0280a0adc2302bbb29bfb7af37274fa585de3171bcf908f180642d11d88e"}}, "download_size": 44853972, "post_processing_size": null, "dataset_size": 40043693, "size_in_bytes": 84897665}, "v2.0": {"description": "FEVER v2.0:\nThe FEVER 2.0 Dataset consists of 1174 claims created by the submissions of participants in the Breaker phase of the 2019 shared task. Participants (Breakers) were tasked with generating adversarial examples that induce classification errors for the existing systems. Breakers submitted a dataset of up to 1000 instances with equal number of instances for each of the three classes (Supported, Refuted NotEnoughInfo). Only novel claims (i.e. not contained in the original FEVER dataset) were considered as valid entries to the shared task. The submissions were then manually evaluated for Correctness (grammatical, appropriately labeled and meet the FEVER annotation guidelines requirements).", "citation": "@inproceedings{Thorne19FEVER2,\n author = {Thorne, James and Vlachos, Andreas and Cocarascu, Oana and Christodoulopoulos, Christos and Mittal, Arpit},\n title = {The {FEVER2.0} Shared Task},\n booktitle = {Proceedings of the Second Workshop on {Fact Extraction and VERification (FEVER)}},\n year = {2018}\n}", "homepage": "https://fever.ai/dataset/adversarial.html", "license": "", "features": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "label": {"dtype": "string", "id": null, "_type": "Value"}, "claim": {"dtype": "string", "id": null, "_type": "Value"}, "evidence_annotation_id": {"dtype": "int32", "id": null, "_type": "Value"}, "evidence_id": {"dtype": "int32", "id": null, "_type": "Value"}, "evidence_wiki_url": {"dtype": "string", "id": null, "_type": "Value"}, "evidence_sentence_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "fever", "config_name": "v2.0", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 306243, "num_examples": 2384, "dataset_name": "fever"}}, "download_checksums": {"https://fever.ai/download/fever2.0/fever2-fixers-dev.jsonl": {"num_bytes": 392466, "checksum": "43c3df77cf9bf6022b9356ed1d66df6d8a9a0126c4e4b8d155742e3a9988c814"}}, "download_size": 392466, "post_processing_size": null, "dataset_size": 306243, "size_in_bytes": 698709}, "wiki_pages": {"description": "Wikipedia pages for FEVER v1.0:\nFEVER (Fact Extraction and VERification) consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from. The claims are classified as Supported, Refuted or NotEnoughInfo. For the first two classes, the annotators also recorded the sentence(s) forming the necessary evidence for their judgment.", "citation": "@inproceedings{Thorne18Fever,\n author = {Thorne, James and Vlachos, Andreas and Christodoulopoulos, Christos and Mittal, Arpit},\n title = {{FEVER}: a Large-scale Dataset for Fact Extraction and {VERification}},\n booktitle = {NAACL-HLT},\n year = {2018}\n}", "homepage": "https://fever.ai/dataset/fever.html", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "lines": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "fever", "config_name": "wiki_pages", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"wikipedia_pages": {"name": "wikipedia_pages", "num_bytes": 7254115038, "num_examples": 5416537, "dataset_name": "fever"}}, "download_checksums": {"https://fever.ai/download/fever/wiki-pages.zip": {"num_bytes": 1713485474, "checksum": "4b06d95da6adf7fe02d2796176c670dacccb21348da89cba4c50676ab99665f2"}}, "download_size": 1713485474, "post_processing_size": null, "dataset_size": 7254115038, "size_in_bytes": 8967600512}}