{
 "id": "Amir13/wnut2017-persian",
 "owner": "Amir13",
 "name": "wnut2017-persian",
 "downloads": 9,
 "likes": 1,
 "last_modified": "2023-02-21T06:55:18.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "token-classification"
 ],
 "citation": "@misc{https://doi.org/10.48550/arxiv.2302.09611,\n  doi = {10.48550/ARXIV.2302.09611},\n  url = {https://arxiv.org/abs/2302.09611},\n  author = {Sartipi, Amir and Fatemi, Afsaneh},\n  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},\n  title = {Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English},\n  publisher = {arXiv},\n  year = {2023},\n  copyright = {arXiv.org perpetual, non-exclusive license}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "7c2a91c95ae7ebaaa8d24092754b1069afdff612",
 "stated_evidence": "https://huggingface.co/datasets/Amir13/wnut2017-persian/blob/7c2a91c95ae7ebaaa8d24092754b1069afdff612/README.md",
 "file_evidence": "https://huggingface.co/datasets/Amir13/wnut2017-persian/tree/7c2a91c95ae7ebaaa8d24092754b1069afdff612",
 "card_nc": false
}