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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.

sourceHugging Faceotherupdated 8mo agoView on Hugging Face
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Dataset Card

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 other as a placeholder; consider cc-by-4.0 for 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.