{
 "id": "legolasflagstaff/RobustGenBench",
 "owner": "legolasflagstaff",
 "name": "RobustGenBench",
 "downloads": 750,
 "likes": 0,
 "last_modified": "2026-10-25T01:03:54.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification"
 ],
 "citation": "@inproceedings{heuillet2026robustgenbench,\n  title     = {RobustGenBench: A Benchmark for Robust Generalization to Adversarial and Common Perturbations, with Applications to Vision and Vision-Enabled Large Language Models},\n  author    = {Heuillet, Maxime and Ngnaw{\\'e}, Jonas and Pequignot, Yann and Bhagwatkar, Rishika and Larouche, Alexandre and Gagn{\\'e}, Christian and Rish, Irina and Ahmad, Ola and Durand, Audrey},\n  booktitle = {The Fortieth Annual Conference on Neural Information Processing Systems Evaluations and Datasets Track},\n  url       = {https://openreview.net/forum?id=KDsuVST8by},\n  year      = {2026}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "abf90d5dacd42d408fa40fe098893b27ffc0cc9c",
 "stated_evidence": "https://huggingface.co/datasets/legolasflagstaff/RobustGenBench/blob/abf90d5dacd42d408fa40fe098893b27ffc0cc9c/README.md",
 "file_evidence": "https://huggingface.co/datasets/legolasflagstaff/RobustGenBench/tree/abf90d5dacd42d408fa40fe098893b27ffc0cc9c",
 "card_nc": false
}