{
 "id": "google/code_x_glue_cc_defect_detection",
 "owner": "google",
 "name": "code_x_glue_cc_defect_detection",
 "downloads": 3295,
 "likes": 28,
 "last_modified": "2024-01-24T14:56:27.000Z",
 "stated_licence": "c-uda",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@inproceedings{zhou2019devign,\ntitle={Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks},\nauthor={Zhou, Yaqin and Liu, Shangqing and Siow, Jingkai and Du, Xiaoning and Liu, Yang},\nbooktitle={Advances in Neural Information Processing Systems},\npages={10197--10207}, year={2019}",
 "signal": "restrictive",
 "reason": "The declared licence (c-uda) is classified as having use restrictions.",
 "revision": "69bd48c03223c2104342acd9a807caf61ac3efb8",
 "stated_evidence": "https://huggingface.co/datasets/google/code_x_glue_cc_defect_detection/blob/69bd48c03223c2104342acd9a807caf61ac3efb8/README.md",
 "file_evidence": "https://huggingface.co/datasets/google/code_x_glue_cc_defect_detection/tree/69bd48c03223c2104342acd9a807caf61ac3efb8",
 "card_nc": false
}