Datasets:
File size: 2,411 Bytes
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license: apache-2.0
task_categories:
- video-text-to-text
language:
- en
tags:
- video
- online
---
# VideoChat3-OL617K
VideoChat3-OL617K is the online video instruction data used by VideoChat3. It is designed to train proactive streaming video assistants that continuously observe incoming video, accumulate visual evidence, and respond at the appropriate moment.
The dataset converts video-question-answer triples into causal streaming supervision. Visual clue intervals are first localized and verified, then transformed into streaming sequences with explicit response-state tokens: `</Silence>`, `</Standby>`, and `</Response>`. These tokens teach the model when to remain silent, continue collecting evidence, and provide an answer.
This repository provides JSONL annotation files. The original videos are not duplicated here; users should resolve videos from the original dataset paths listed below.
[📄 Paper](http://arxiv.org/abs/2607.14935) · [🌐 Homepage](https://mcg-nju.github.io/VideoChat3/) · [💻 GitHub](https://github.com/MCG-NJU/VideoChat3) · [🤗 Paper Page](https://huggingface.co/papers/2607.14935)
<p align="center">
<img src="ol617k.jpg" alt="VideoChat3-LV116K Overview" width="100%">
</p>
## Data Sources
VideoChat3-OL617K use the following video datasets:
| Source dataset |Original video dataset path |
| --- | --- |
| StreamForest |https://huggingface.co/datasets/MCG-NJU/StreamForest-Annodata |
| Streamo | https://huggingface.co/datasets/maifoundations/Streamo-Instruct-465K |
| Seeker |https://huggingface.co/datasets/MCG-NJU/Seeker-173K|
| AVA (Supplement)| https://github.com/cvdfoundation/ava-dataset |
|EgoQA (Supplement)|https://huggingface.co/datasets/MCG-NJU/VideoChat3-OL617k/tree/main/Egoqa_split/ |
The `ol617k.json` file provides the mapping between dataset annotations and video sources. You can refer to it when organizing the dataset structure.
## Citation
If you use this data, please cite VideoChat3 and the original video datasets used by the annotations.
```
@article{li2026videochat3,
title={VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding},
author={Li, Xinhao and Zhu, Yuhan and Zeng, Xiangyu and Dong, Yuhao and Wu, Haoning and Zhang, Zhiqiu and Yang, Yuandong and Ma, Changlian and Zhang, Qingyu and Shi, Yansong and others},
journal={arXiv preprint arXiv:2607.14935},
year={2026}
}
``` |