DAMO-NLP-SG/VideoRefer-700K
VideoRefer-700K Paper | Project Page | Code VideoRefer-700K is a large-scale, high-quality object-level video instruction dataset. Curated using a sophisticated multi-agent data engine to fill the gap for high-quality object-level video instruction data. VideoRefer consists of three types of data: Object-level Detailed Caption Object-level Short Caption Object-level QA Video sources: Detailed&Short Caption Panda-70M. QA MeViS A2D Youtube-VOS Data format: [ {… See the full description on the dataset page: https://huggingface.co/datasets/DAMO-NLP-SG/VideoRefer-700K.
| Author / organization | DAMO-NLP-SG |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 4.9K (as reported by Hugging Face) |
| Likes | 8 |
| Created | 18 February 2025 |
| Last updated at source | 29 October 2025 |
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- mradermacher/SWIM-7B-i1-GGUFModel · used to train
- mradermacher/SWIM-7B-GGUFModel · used to train
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