Datasets:

mvp-lab
/

LLaVA-OneVision-2-Data

language:
  - en
license: apache-2.0
size_categories:
  - 10M<n<100M
task_categories:
  - image-text-to-text
  - video-text-to-text
  - visual-question-answering
tags:
  - llava
  - multimodal
  - video
  - spatial-reasoning
configs:
  - config_name: viewer_caption_30s
    data_files:
      - split: preview
        path: viewer/caption_30s.parquet
  - config_name: viewer_caption_60s
    data_files:
      - split: preview
        path: viewer/caption_60s.parquet
  - config_name: viewer_caption_180s
    data_files:
      - split: preview
        path: viewer/caption_180s.parquet
  - config_name: viewer_caption_gt10min
    data_files:
      - split: preview
        path: viewer/caption_gt10min.parquet
  - config_name: viewer_spatial
    data_files:
      - split: preview
        path: viewer/spatial.parquet

LLaVA-OneVision-2-Data

Project Page | Paper | GitHub

Training data for the LLaVA-OneVision-2 multimodal model family, covering large-scale video and spatial reasoning corpora used in mid-training.

Dataset Composition

Subset	Format	Description
`mid_training_video/60s_rest/`	WebDataset (`.tar`)	10,809 shards of ~60s video clips
`mid_training_video/caption_v0/split_30s.jsonl`	JSONL	Captions for 30-second video clips
`mid_training_video/caption_v0/split_60s.jsonl`	JSONL	Captions for 60-second video clips
`mid_training_video/caption_v0/split_180s.jsonl`	JSONL	Captions for 180-second video clips
`mid_training_video/caption_v0/split_gt10min.jsonl`	JSONL	Captions for >10-minute video clips
`spatial/`	WebDataset (`.tar`)	84 shards of spatial reasoning data (refcoco, visual genome, pointing, 3D, etc.)
`mid_training_video/mapping/mapping_{5s,10s,30s,60s,180s,gt10min}.csv`	CSV	Maps each video clip's `dst_path` to its source `youtube_id` and `[start_time, end_time]` window

Preview Configs

The viewer_* configs above expose small Parquet samples so the Hugging Face Dataset Viewer can render the data directly in the browser:

viewer_caption_30s — 5 caption samples from 30-second clips
viewer_caption_60s — 5 caption samples from 60-second clips
viewer_caption_180s — 3 caption samples from 180-second clips
viewer_caption_gt10min — 1 caption sample from >10-minute clips
viewer_spatial — 10 spatial-reasoning samples with embedded thumbnail images, mixed across tasks (refcoco, visual genome, pointing, ca1m, osd, crosspoint, erqa, roborefer)

These previews are intended for schema inspection only. For training, use the full mid_training_video/ and spatial/ shards.

Sample Usage

You can download the dataset using the huggingface-cli:

huggingface-cli download --repo-type dataset --resume-download \
    --local-dir ./LLaVA-OneVision-2-Data \
    mvp-lab/LLaVA-OneVision-2-Data

Citation

If you find LLaVA-OneVision-2 useful in your research, please consider citing the following papers:

@inproceedings{LLaVA-OneVision-2,
  title={LLaVA-OneVision-2},
  author={llava-onevision contributors},
  booktitle={arXiv},
  year={2026}
}

@inproceedings{LLaVA-OneVision-1.5,
  title={LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training},
  author={An, Xiang and Xie, Yin and Yang, Kaicheng and Zhang, Wenkang and Zhao, Xiuwei and Cheng, Zheng and Wang, Yirui and Xu, Songcen and Chen, Changrui and Wu, Chunsheng and Tan, Huajie and Li, Chunyuan and Yang, Jing and Yu, Jie and Wang, Xiyao and Qin, Bin and Wang, Yumeng and Yan, Zizhen and Feng, Ziyong and Liu, Ziwei and Li, Bo and Deng, Jiankang},
  booktitle={arXiv},
  year={2025}
 }