KlingTeam/VIVID-10M
VIVID-10M [project page] | [Paper] | [arXiv] VIVID-10M is the first large-scale hybrid image-video local editing dataset aimed at reducing data construction and model training costs, comprising 9.7M samples that encompass a wide range of video editing tasks. Data Index The data index is located at four .csv files: vivid-image-change.csv vivid-image-remove.csv vivid-video-change.csv vivid-video-remove.csv VIVID-Video splits contains the columns: local_caption, #… See the full description on the dataset page: https://huggingface.co/datasets/KlingTeam/VIVID-10M.
| Author / organization | KlingTeam |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 903 (as reported by Hugging Face) |
| Likes | 18 |
| Created | 4 July 2025 |
| Last updated at source | 2 December 2025 |
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