Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,71 @@
+---
+license: mit
+task_categories:
+- robotics
+- computer-vision
+tags:
+- robotics
+- optical-flow
+- scene-flow
+- 3d-vision
+- manipulation
+size_categories:
+- 10K<n<100K
+---
+
+# 3D Optical Flow DROID Dataset
+
+Processed DROID robotics dataset with optical flow and scene flow annotations.
+
+## Dataset Structure
+
+Organized by lab, each trajectory in separate tar.gz archive:
+
+```
+IPRL/IPRL+2023-06-19+Mon_Jun_19_23:27:48_2023.tar.gz
+CLVR/CLVR+2023-...tar.gz
+... (15 labs, ~33K trajectories)
+```
+
+Each trajectory contains:
+- `metadata.json` - Trajectory metadata
+- `trajectory.h5` - Robot state and actions
+- `camera_left/`, `camera_right/` - Camera data
+  - `rgb/` - RGB images
+  - `depth/` - Depth maps
+  - `optical_flow_with_mask/` - 2D optical flow
+  - `scene_flow/` - 3D scene flow
+
+## Usage
+
+```python
+from huggingface_hub import hf_hub_download
+import tarfile
+
+# Download specific trajectory
+tar_path = hf_hub_download(
+    repo_id="Salesforce/3d_optical_flow_droid",
+    filename="IPRL/IPRL+2023-06-19+Mon_Jun_19_23:27:48_2023.tar.gz",
+    repo_type="dataset"
+)
+
+# Extract
+with tarfile.open(tar_path, "r:gz") as tar:
+    tar.extractall("./data")
+```
+
+## Stats
+
+- Trajectories: ~33,108
+- Size: ~26 TB (compressed)
+- Labs: 15 robotics labs
+- Frames: ~600-700 per trajectory
+
+## Citation
+
+```bibtex
+@article{droid2024,
+  title={DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset},
+  year={2024}
+}
+```