Hugging Face's logo

Datasets:
mingyang-wu
/
VideoVAE-Datasets

Dataset card Files
xet
 Community

You need to agree to share your Hugging Face information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

YAML Metadata Warning:The task_categories "video-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

VideoVAE-Datasets

Quality-filtered real-world videos for training video VAE decoders. Final training set: 84,335 videos (see training-metadata/).

training-metadata/     final qualified + deduplicated video list, curation results  <- start here
  stage_0/             pilot set: every OpenViD-HD video in part_48..part_55, unfiltered (local videos only)
OpenViD-HD/
  videos/{min132,min121-131,min81-120}/part-NNNN/shard-NNN.tar
  metadata/quality/part_N.json, index.json
  metadata/captions/OpenVidHD.csv, source.json   original OpenVidHD captions (join on video file name)
  latents/wan2.1/chunks-33frames/   Wan2.1 VAE latents (33-frame sections) + manifests/ + README.md
UltraVideo/
  videos/{min132,min121-131,min81-120}/clips_short_960/shard-NNN.tar
  videos/{min132,min121-131,min81-120}/clips_short_1920/shard-NNN.tar   1920x1080 versions, quality-passed only
  metadata/quality/clips_short_960.json, clips_short_1920.json, index.json
Miradata/
  videos/min132/miradata_v1/shard-NNN.tar
  metadata/quality/miradata_v1.json, index.json
Dataset Source Qualified Final (after dedup)
OpenViD-HD nkp37/OpenVid-1M, OpenVidHD parts 78,583 72,982
UltraVideo APRIL-AIGC/UltraVideo, clips_short_960 11,143 9,698
MiraData MiraData v1, real-world clips 1,868 1,655
  • videos/ folders are frame-count ranges (original MP4 bytes, no trimming or re-encoding). Video TARs contain every qualified video; MiraData TARs also contain videos that failed quality. Select training videos with training-metadata/train.jsonl.
  • metadata/quality/*.json hold per-video CPU quality measurements and gate results for every source video, passed or not. OpenViD-HD quality covers part_1, part_2 and part_10..part_60; quality-passed videos of part_48..part_55 are included in the TARs.
  • UltraVideo clips_short_1920 holds the same clips as clips_short_960 at 1920x1080, quality-checked with the same gates; it is not part of the final training set. Passed rows in clips_short_1920.json carry hf_archive / hf_archive_member.
  • All paths in metadata are relative to the dataset root (e.g. OpenViD-HD/videos/part_48/x.mp4 after extracting TARs as <root>/<Dataset>/<archive member>).
  • Download everything except latents: hf download mingyang-wu/VideoVAE-Datasets --repo-type dataset --exclude "*/latents/*" --local-dir VideoVAE-Datasets

evaluation/

Reconstruction evaluation sets, one TAR each. Extract with tar -xf <archive> -C <root> to get <root>/<Dataset>/...; checksums are in evaluation/SHA256SUMS.

Archive Contents Source
Inter4K.tar 1,000 Inter4K MP4s at Inter4K/60fps/UHD/<id>.mp4, original files unmodified (3840×2160, ~60 fps, ~5 s) Inter4K, Alexandros Stergiou and Ronald Poppe; fetched from the Hugging Face mirror Shilin-LU/Inter4k
WebVid10M-val-1k.tar 1,000 WebVid-10M validation videos WebVid-10M
Large-Motion-100-recreated.tar 100 high-motion clips (80 WebVid + 20 Inter4K) chosen by optical flow; a recreation, not the original unreleased split built in this project from the two sets above
MPI-Sintel.tar Official MPI-Sintel frames with 5 training scenes held out as a custom validation split MPI-Sintel

Inter4K license. Inter4K is © 2021 Alexandros Stergiou and is licensed under CC BY-NC-SA 4.0 (see the original licence.txt): non-commercial use only, with attribution, and adaptations under the same license. The files here are redistributed unmodified. The same terms apply to the 20 Inter4K clips in Large-Motion-100-recreated.tar. Cite:

@article{stergiou2021adapool,
  title   = {AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling},
  author  = {Stergiou, Alexandros and Poppe, Ronald},
  journal = {arXiv preprint},
  year    = {2021}
}

The other evaluation sets keep the terms of their original sources.
Downloads last month
728
Total file size:
1.66 TB