{
 "id": "nsp909/MDTA",
 "owner": "nsp909",
 "name": "MDTA",
 "downloads": 287,
 "likes": 2,
 "last_modified": "2026-05-05T15:45:46.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [
  {
   "id": "Hello-SimpleAI/HC3",
   "licence": "cc-by-sa-4.0",
   "found": true,
   "evidence": "https://huggingface.co/datasets/Hello-SimpleAI/HC3/blob/4d0ff18143b5a7e1b1e79beb540c04549d1e59d3/README.md"
  }
 ],
 "gated": false,
 "tasks": [
  "text-classification",
  "text-generation"
 ],
 "citation": "@misc{narayanasamy2026perplexitycharacterdistributionsignatures,\n  title={Beyond Perplexity: Character Distribution Signatures and the MDTA Benchmark for AI Text Detection},\n  author={Narayanasamy, Priyadarshan and Agrawal, Swastik and Faber, Klint and Alam, Fardina Fathmiul},\n  year={2026},\n  eprint={2605.01647},\n  archivePrefix={arXiv},\n  primaryClass={cs.CL},\n  url={https://arxiv.org/abs/2605.01647}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "fffb86b767e23367d09d27b32d34c3c586cf5219",
 "stated_evidence": "https://huggingface.co/datasets/nsp909/MDTA/blob/fffb86b767e23367d09d27b32d34c3c586cf5219/README.md",
 "file_evidence": "https://huggingface.co/datasets/nsp909/MDTA/tree/fffb86b767e23367d09d27b32d34c3c586cf5219",
 "card_nc": false
}