{
 "id": "BASH-Lab/OpenSQA",
 "owner": "BASH-Lab",
 "name": "OpenSQA",
 "downloads": 141,
 "likes": 0,
 "last_modified": "2025-09-22T18:44:00.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "hippocratic-license",
 "licence_link": "https://firstdonoharm.dev/version/3/0/cl-eco-extr-ffd-law-media-mil-my-soc-sv-tal-usta.html",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "@article{imran2024llasa,\n    title={LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data},\n    author={Imran, Sheikh Asif and Khan, Mohammad Nur Hossain and Biswas, Subrata and Islam, Bashima},\n    journal={arXiv preprint arXiv:2406.14498},\n    year={2024}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "ed16a14854a531ba9e71a6786e92a8f427b06b95",
 "stated_evidence": "https://huggingface.co/datasets/BASH-Lab/OpenSQA/blob/ed16a14854a531ba9e71a6786e92a8f427b06b95/README.md",
 "file_evidence": "https://huggingface.co/datasets/BASH-Lab/OpenSQA/tree/ed16a14854a531ba9e71a6786e92a8f427b06b95",
 "card_nc": false
}