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Datasets:
stellalisy
/
IsoVRBench

Tasks:
Video Classification
Modalities:
Text
Video
Formats:
json
Languages:
English
Size:
100K - 1M
ArXiv:
Tags:
reward-model
video-generation
evaluation
preference-learning
temporal-reasoning
synthetic-data
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
IsoVRBench

Commit History

2 days ago

  1. Card: paper link and citation

    stellalisy
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    339d72f

  2. Add train and validation splits; remove the conflicted and vq_steps_16 subsets⁠

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    b43943d

  3. Add training shards corpus-0061.tar to corpus-0066.tar

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    81eabee

  4. Add training shards corpus-0055.tar to corpus-0060.tar

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  5. Add training shards corpus-0048.tar to corpus-0053.tar

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  6. Add training shards corpus-0042.tar to corpus-0047.tar

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  7. Add training shards corpus-0036.tar to corpus-0041.tar

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  8. Add training shards corpus-0030.tar to corpus-0035.tar

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  9. Add training shards corpus-0024.tar to corpus-0029.tar

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  10. Add training shards corpus-0018.tar to corpus-0023.tar

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  11. Add training shards corpus-0012.tar to corpus-0017.tar

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  12. Add training shards corpus-0006.tar to corpus-0011.tar

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  13. Add training shards corpus-0000.tar to corpus-0005.tar

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    7033949

11 days ago

  1. Rename IsoVGRBench to IsoVRBench⁠

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    a3d6028

28 days ago

  1. Refresh SHA256SUMS for the vq_steps_16 split

    stellalisy
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    710a1ee

  2. Card: document the vq_steps_16 split

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    bffe10e

  3. Add the 16-step vq_steps split

    stellalisy
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    9ddbf7d

  4. Add the 16-step vq_steps split

    stellalisy
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    88ca380

  5. Add the 16-step vq_steps split

    stellalisy
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    661a872

  6. Add the 16-step vq_steps clips

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    5967821

  7. stats: mark the isolated half as the reported benchmark

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    0044e9c

  8. Card: the benchmark is the 8,000 isolated pairs; conflicted still ships but is not reported

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    daf850d

  1. Correct the shuffle selection

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    38e6462

  2. Correct the shuffle selection

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    749b284

  3. Upload SHA256SUMS with huggingface_hub

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  4. Upload README.md with huggingface_hub

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  5. Upload SHA256SUMS with huggingface_hub

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  6. Upload score.py with huggingface_hub

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  7. Upload stats.json with huggingface_hub

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  8. Upload videos.jsonl with huggingface_hub

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  1. Add files using upload-large-folder tool

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  2. Add files using upload-large-folder tool

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  3. Add files using upload-large-folder tool

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  4. Add files using upload-large-folder tool

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  5. Add files using upload-large-folder tool

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  19. Add files using upload-large-folder tool

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  20. Add files using upload-large-folder tool

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