{
 "id": "THU-PI-Sensing/DreamCatcher",
 "owner": "THU-PI-Sensing",
 "name": "DreamCatcher",
 "downloads": 224,
 "likes": 16,
 "last_modified": "2025-08-06T15:41:24.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "audio-classification"
 ],
 "citation": "<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->\n\n**BibTeX:**\n@inproceedings{\nwang2024dreamcatcher,\ntitle={DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments},\nauthor={Zeyu Wang and Xiyuxing Zhang and Ruotong Yu and Yuntao Wang and Kenneth Christofferson and Jingru Zhang and Alex Mariakakis and Yuanchun Shi},\nbooktitle={The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track},\nyear={2024},\nurl={https://openreview.net/forum?id=PcbSZwVVc5}\n}\n\n**APA:**\nWang, Z., Zhang, X., Yu, R., Wang, Y., Christofferson, K., Zhang, J., ... & Shi, Y. DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments. In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track.",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "56226e293f6d6252d441d7403360280f3b912949",
 "stated_evidence": "https://huggingface.co/datasets/THU-PI-Sensing/DreamCatcher/blob/56226e293f6d6252d441d7403360280f3b912949/README.md",
 "file_evidence": "https://huggingface.co/datasets/THU-PI-Sensing/DreamCatcher/tree/56226e293f6d6252d441d7403360280f3b912949",
 "card_nc": false
}