{
 "id": "aidlab-wearables/AIDLAB-HAR",
 "owner": "aidlab-wearables",
 "name": "AIDLAB-HAR",
 "downloads": 130,
 "likes": 0,
 "last_modified": "2026-08-23T17:03:09.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "other"
 ],
 "citation": "@article{czekaj2024aidlabhar,\n  title = {Real-Time Sensor-Based Human Activity Recognition for eFitness and eHealth Platforms},\n  author = {Czekaj, {\\L}ukasz and Kowalewski, Mateusz and Domaszewicz, Jakub and Kit{\\l}owski, Robert and Szwoch, Mariusz and Duch, W{\\l}odzis{\\l}aw},\n  journal = {Sensors},\n  volume = {24},\n  number = {12},\n  pages = {3891},\n  year = {2024},\n  doi = {10.3390/s24123891}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "6792fbbaa5905171d2bba6e8c29532cd3d87043b",
 "stated_evidence": "https://huggingface.co/datasets/aidlab-wearables/AIDLAB-HAR/blob/6792fbbaa5905171d2bba6e8c29532cd3d87043b/README.md",
 "file_evidence": "https://huggingface.co/datasets/aidlab-wearables/AIDLAB-HAR/blob/6792fbbaa5905171d2bba6e8c29532cd3d87043b/LICENSE",
 "card_nc": false
}