{
 "id": "nv-njb/SAT",
 "owner": "nv-njb",
 "name": "SAT",
 "downloads": 57,
 "likes": 0,
 "last_modified": "2026-05-20T22:55:29.000Z",
 "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": [
  "visual-question-answering",
  "multiple-choice"
 ],
 "citation": "@article{ray2025sat,\n  title={SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models},\n  author={Ray, Arijit and Duan, Jiafei and Tan, Reuben and Bashkirova, Dina and Hendrix, Rose and Ehsani, Kiana and Kembhavi, Aniruddha and Plummer, Bryan A and Krishna, Ranjay and Zeng, Kuo-Hao and others},\n  journal={arXiv preprint arXiv:2412.07755},\n  year={2025}\n}",
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 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "85f0ea843878d3a15e3935da7c1ede53276d171f",
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