{
 "id": "GEM/viggo",
 "owner": "GEM",
 "name": "viggo",
 "downloads": 988,
 "likes": 36,
 "last_modified": "2022-10-24T15:31:07.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "table-to-text"
 ],
 "citation": "@inproceedings{juraska-etal-2019-viggo,\n    title = \"{V}i{GGO}: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation\",\n    author = \"Juraska, Juraj  and\n      Bowden, Kevin  and\n      Walker, Marilyn\",\n    booktitle = \"Proceedings of the 12th International Conference on Natural Language Generation\",\n    month = oct # \"{--}\" # nov,\n    year = \"2019\",\n    address = \"Tokyo, Japan\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/W19-8623\",\n    doi = \"10.18653/v1/W19-8623\",\n    pages = \"164--172\",\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "c851cd5ff2ee92f0137fcf24014e37427a2d30b7",
 "stated_evidence": "https://huggingface.co/datasets/GEM/viggo/blob/c851cd5ff2ee92f0137fcf24014e37427a2d30b7/README.md",
 "file_evidence": "https://huggingface.co/datasets/GEM/viggo/tree/c851cd5ff2ee92f0137fcf24014e37427a2d30b7",
 "card_nc": false
}