anonymous-multimodal-researcher/YT-DemTalk
YouTube Dementia Speaking (URLs + Labels) Last updated: 2025-10-30 A large dataset of YouTube links where a single person speaks to camera, with labels that correspond to the self reported dementia/alzheimer disgnosis in the table (e.g., dementia vs. neurotypical).The repository intentionally stores only links and annotations, not the videos themselves. Files data/train.csv — canonical CSV (recommended) Columns label: (describe this column) url:… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-multimodal-researcher/YT-DemTalk.
YouTube Dementia Speaking (URLs + Labels)
Last updated: 2025-10-30
A large dataset of YouTube links where a single person speaks to camera, with labels that correspond to the self reported dementia/alzheimer disgnosis in the table (e.g., dementia vs. neurotypical). The repository intentionally stores only links and annotations, not the videos themselves.
Files
data/train.csv— canonical CSV (recommended)
Columns
- label: (describe this column)
- url: (describe this column)
- split: (describe this column)
Please edit the descriptions above to reflect your exact schema. If you have a column for the class label, note the allowed values (e.g.,dementia,control).
Intended Uses
- Research on passive dementia screening and talking-head analysis
- Link corpus for downstream scraping by end users respecting platform terms
Licensing & Content Ownership
- This dataset repository contains only URLs and annotations.
- Video/audio content is owned by the original creators and hosted on YouTube (or other platforms); users must comply with those platforms’ Terms of Service.
- Choose an appropriate license for your annotations (the YAML header currently uses
otheras a placeholder; considercc-by-4.0for labels-only data if appropriate).
Ethical Considerations
- Health-related labels may be sensitive. Consider IRB/ethics approvals and consent where applicable.
- Avoid redistributing raw personal data; keep only minimal metadata necessary for research.
- Be mindful of dataset misuse and downstream harms; document limitations and context.
