openvid
Datasets
All datasets matching “openvid”OpenVid-1M
Summary
This is the dataset proposed in our paper [ICLR 2025] OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.
OpenVid-1M is a high-quality text-to-video dataset designed for research institutions to enhance video quality, featuring high aesthetics, clarity, and resolution. It can be used for direct training or as a quality tuning complement to other video datasets.
All videos in the OpenVid-1M dataset have resolutions of at least 512×512.… See the full description on the dataset page: https://huggingface.co/datasets/nkp37/OpenVid-1M.OpenVid-1M-wds
OpenVid-1M — WebDataset repackaging
This repository is a sequential-read-optimized WebDataset repackaging of nkp37/OpenVid-1M by Nan et al. (ICLR 2025). The video content is identical to the original — only the on-disk layout is changed so it can be streamed efficiently from a single HTTP/NFS connection.
What differs from the original
Aspect
Original nkp37/OpenVid-1M
This repository
Format
Per-video mp4 files zipped
WebDataset .tar shards (~2 GB each)… See the full description on the dataset page: https://huggingface.co/datasets/Dev-Jahn/OpenVid-1M-wds.Youtube-Common-First-600-ParquetOpenvid-1M
OpenVid Dataset (Lance Format)
Lance format version of the OpenVid dataset with 937,957 high-quality videos stored with inline video blobs, embeddings, and rich metadata.
Why Lance?
Lance is an open-source format designed for multimodal AI data, offering significant advantages over traditional formats for modern AI workloads.
Blazing Fast Random Access: Optimized for fetching scattered rows, making it ideal for random sampling, real-time ML serving, and interactive… See the full description on the dataset page: https://huggingface.co/datasets/lance-format/Openvid-1M.pexel-0808-complete-final-testGithub Page: https://github.com/UmiMarch/OpenVideo
license: cc-by-4.0
task_categories:
- video-text-to-text
size_categories:
- 100K<n<1M
openvid-lance
OpenVid (Lance Format)
A Lance-formatted version of the OpenVid-1M corpus — 937,957 high-quality clips with inline MP4 bytes, 1024-dim video embeddings, captions, and rich per-clip quality signals — available directly from the Hub at hf://datasets/lance-format/openvid-lance/data/train.lance.
Key features
Inline MP4 bytes in the video_blob column, stored in a side blob file and surfaced as lazy BlobFile handles via take_blobs — metadata scans, search, and filtering… See the full description on the dataset page: https://huggingface.co/datasets/lance-format/openvid-lance.