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Cosmos 2.5 Multi-View Robot Manipulation Dataset
This dataset contains multi-view robot manipulation demonstrations formatted for training with NVIDIA Cosmos 2.5 world models.
Dataset Structure
processeddata/
└── input/
├── episode_000001/
│ ├── caption.jsonl
│ ├── pinhole_base.mp4
│ ├── pinhole_side.mp4
│ └── pinhole_wrist.mp4
├── episode_000002/
│ ├── caption.jsonl
│ ├── pinhole_base.mp4
│ ├── pinhole_side.mp4
│ └── pinhole_wrist.mp4
...
└── episode_000150/
├── caption.jsonl
├── pinhole_base.mp4
├── pinhole_side.mp4
└── pinhole_wrist.mp4
File Descriptions
Video Files
Each episode contains three synchronized video views:
- pinhole_base.mp4: Base/overhead camera view
- pinhole_side.mp4: Side camera view
- pinhole_wrist.mp4: Wrist-mounted camera view
Caption Files
Each caption.jsonl file contains three lines (one per view) with:
caption: Natural language description of the taskview: Camera view identifiertag: Additional metadata (nullable)
Example caption.jsonl:
{"caption": "Pick up the bottle and place it into the blue box", "view": "pinhole_base", "tag": null}
{"caption": "Pick up the bottle and place it into the blue box", "view": "pinhole_wrist", "tag": null}
{"caption": "Pick up the bottle and place it into the blue box", "view": "pinhole_side", "tag": null}
Usage
Loading the Dataset
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("JeffrinSam/cosmos2.5multip")
# Access episode data
episode_path = "processeddata/input/episode_000001"
Using with Cosmos 2.5
This dataset is formatted for training world models with NVIDIA Cosmos 2.5. Each episode provides:
- Multi-view synchronized videos for spatial understanding
- Natural language task descriptions
- Structured format compatible with Cosmos data loaders
Applications
- Robot manipulation learning
- Multi-view world model training
- Vision-language grounding for robotics
- Physical AI simulation
- Video prediction models
Citation
If you use this dataset, please cite:
@misc{cosmos2.5multip,
title={Cosmos 2.5 Multi-View Robot Manipulation Dataset},
author={JeffrinSam},
year={2025},
publisher={HuggingFace},
howpublished={\url{https://huggingface.co/datasets/JeffrinSam/cosmos2.5multip}}
}
License
This dataset is released under the Apache 2.0 License.
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