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Datasets:
facebook
/
wearable-ai

Tasks:
Visual Question Answering
Video-Text-to-Text
Modalities:
Text
Video
Formats:
json
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
egocentric
wearable
first-person
video
conversation
long-video-qa
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files Files and versions
xet
Community
2

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  • tests
    Squashing commit about 2 months ago
  • .gitignore
    93 Bytes
    Squashing commit about 2 months ago
  • LICENSE
    847 Bytes
    Squashing commit about 2 months ago
  • README.md
    39.2 kB
    starter_kit: self-reported judge score goes IN predictions.jsonl as a {"llm_judge":...} line 25 days ago
  • model.py
    34.7 kB
    Squashing commit about 2 months ago
  • requirements-dev.txt
    34 Bytes
    Squashing commit about 2 months ago
  • requirements.txt
    1.12 kB
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  • run_evaluation.py
    73.6 kB
    starter_kit: official ConvQA judge = Llama-4-Maverick FP8 (vllm); README marks self-report required for leaderboard 25 days ago
  • run_generate_convqa.py
    21.9 kB
    Squashing commit about 2 months ago
  • run_generate_longqa.py
    18.2 kB
    Squashing commit about 2 months ago
  • run_generate_proactive.py
    15.2 kB
    Squashing commit about 2 months ago
  • slurm_runner.py
    23.8 kB
    Squashing commit about 2 months ago