{
 "id": "WuBeiNing/MSME-GEO-Bench",
 "owner": "WuBeiNing",
 "name": "MSME-GEO-Bench",
 "downloads": 75,
 "likes": 0,
 "last_modified": "2026-05-13T02:52:53.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering",
  "text-generation",
  "text-retrieval"
 ],
 "citation": "@misc{wu2026fromexperience,\n  title         = {From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning},\n  author        = {Wu, Beining and Mao, Fuyou and Lin, Jiong and Yang, Cheng and Lu, Jiaxuan and Guo, Yifu and Zhang, Siyu and Wu, Yifan and Huang, Ying and Li, Fu},\n  year          = {2026},\n  eprint        = {2604.19516},\n  archivePrefix = {arXiv},\n  primaryClass  = {cs.AI},\n  url           = {https://arxiv.org/abs/2604.19516}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "97b8318232a4b77ef0a7b5fb856d5d57483f6670",
 "stated_evidence": "https://huggingface.co/datasets/WuBeiNing/MSME-GEO-Bench/blob/97b8318232a4b77ef0a7b5fb856d5d57483f6670/README.md",
 "file_evidence": "https://huggingface.co/datasets/WuBeiNing/MSME-GEO-Bench/tree/97b8318232a4b77ef0a7b5fb856d5d57483f6670",
 "card_nc": false
}