VideoChat3-LV116K

VideoChat3-LV116K is the long-video instruction data used by VideoChat3. It is designed to complement short academic video data with supervision over longer temporal contexts, where evidence can be sparse, delayed, and distributed across multiple video segments.

The dataset is constructed through a long-video synthesis pipeline. Candidate long videos are filtered for visual quality, semantic content, and temporal coherence. Videos are then split into manageable temporal segments, each segment is annotated and checked for quality, and the validated segment descriptions are assembled into full-video supervision. Based on this evidence ledger, the pipeline synthesizes long-video captions, long-video question answering data, and temporal grounding annotations.

This repository provides JSONL annotation files. Most original videos are not duplicated here. The SciVideo videos are provided in this repository, while videos from the other source datasets should be resolved from the original dataset paths listed below.

📄 Paper · 🌐 Homepage · 💻 GitHub · 🤗 Paper Page

Data Sources

VideoChat3-LV116K use the following video datasets:

Source dataset	Category	Data source	Videos used in our dataset
CinePile	Movie Summarization & QA	CinePile dataset	Selected and re-uploaded videos
LongVideoDB	Long Video Timelines / Temporal Grounding / Summarization & QA	LongVideoDB dataset	Selected and re-uploaded videos
SciVideo_Long	SciVideo Summarization & QA	Self-collected	Released videos
SciVideo_Short	SciVideo Summarization & QA	Self-collected	Released videos

The lv116k.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 long-video datasets used by the annotations.

@misc{videochat3,
      title={VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding}, 
      author={Xinhao Li and Yuhan Zhu and Xiangyu Zeng and Yuhao Dong and Haoning Wu and Zhiqiu Zhang and Yuandong Yang and Changlian Ma and Qingyu Zhang and Yansong Shi and Xinyu Chen and Haoran Chen and Zizheng Huang and Jun Zhang and Kun Ouyang and Lin Sui and Ziang Yan and Yicheng Xu and Chenting Wang and Yinan He and Hongjie Zhang and Yi Wang and Yu Qiao and Yali Wang and Ziwei Liu and Kai Chen and Limin Wang},
      year={2026},
      eprint={2607.14935},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2607.14935}, 
}