{
 "id": "cjvt/sloie",
 "owner": "cjvt",
 "name": "sloie",
 "downloads": 47,
 "likes": 0,
 "last_modified": "2022-10-21T07:36:18.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification",
  "token-classification"
 ],
 "citation": "@article{skvorc2022mice,\n  title = {MICE: Mining Idioms with Contextual Embeddings},\n  journal = {Knowledge-Based Systems},\n  volume = {235},\n  pages = {107606},\n  year = {2022},\n  doi = {https://doi.org/10.1016/j.knosys.2021.107606},\n  url = {https://www.sciencedirect.com/science/article/pii/S0950705121008686},\n  author = {{\\v S}kvorc, Tadej and Gantar, Polona and Robnik-{\\v S}ikonja, Marko},\n}",
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 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "81eca6cc0ab38a851d62f8fe8632acbd6c12c531",
 "stated_evidence": "https://huggingface.co/datasets/cjvt/sloie/blob/81eca6cc0ab38a851d62f8fe8632acbd6c12c531/README.md",
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}