Add comprehensive dataset README with usage examples and documentation

README.md

@@ -1,3 +1,125 @@
 ---
 license: apache-2.0
+task_categories:
+- robotics
+- video-generation
+- world-models
+tags:
+- cosmos
+- nvidia
+- robot-learning
+- manipulation
+- multi-view
+size_categories:
+- n<1K
 ---
+
+# 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 Description
+
+- **Total Episodes**: 150
+- **Files per Episode**: 4 (3 videos + 1 caption file)
+- **Total Files**: 600
+- **Dataset Size**: ~1.1 GB
+- **Video Format**: MP4
+- **Caption Format**: JSONL
+
+## 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 task
+- `view`: Camera view identifier
+- `tag`: Additional metadata (nullable)
+
+Example caption.jsonl:
+```json
+{"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
+
+```python
+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:
+
+```bibtex
+@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.
+
+## Related Resources
+
+- [NVIDIA Cosmos](https://www.nvidia.com/en-us/ai/cosmos/)
+- [Physical AI Documentation](https://docs.nvidia.com/cosmos/)
+- [LeRobot Framework](https://github.com/huggingface/lerobot)