OpenGVLab/VideoChat2-IT
Instruction Data Annotations A comprehensive dataset of 1.9M data annotations is available in JSON format. Due to the extensive size of the full data, we provide only JSON files here. For corresponding images and videos, please follow our instructions. Source data Image For image datasets, we utilized M3IT, filtering out lower-quality data by: Correcting typos: Most sentences with incorrect punctuation usage were rectified.… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/VideoChat2-IT.
| Author / organization | OpenGVLab |
|---|---|
| License (as declared) | mit |
| Downloads | 398 (as reported by Hugging Face) |
| Likes | 52 |
| Created | 28 November 2023 |
| Last updated at source | 29 June 2024 |
Connected in the knowledge graph
- DAMO-NLP-SG/VideoLLaMA2.1-7B-16FModel · used to train
- DAMO-NLP-SG/VideoLLaMA2-7BModel · used to train
Recent changes
- 16 Oct 2026 Description: Instruction Data Annotations A comprehensive dataset of 1.9M data annotations is available in JSON format. Due to the extensive size of the full data, we provide only JSON files here. For corresponding images and videos, please follow our i → Instruction Data Annotations A comprehensive dataset of 1.9M data annotations is available in JSON format. Due to the extensive size of the full data, we provide only JSON files here. For corresponding images and videos, please follow our i
Changes detected by Silytics between refreshes of the source.
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.