Add robotics bowel grasping dataset release

.gitattributes

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+README.md text eol=lf
+LICENSE text eol=lf
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+SHA256SUMS text eol=lf

LICENSE

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+MIT License
+
+Copyright (c) 2026 NCT Dresden - Translational Surgical Oncology
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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----
-license: mit
----
+---
+license: mit
+pretty_name: Robotics Bowel Retraction
+tags:
+- robotics
+- surgical-robotics
+- imitation-learning
+- minimally-invasive-surgery
+- endoscopic-vision
+---
+
+# Robotics Bowel Retraction Dataset
+
+Dataset release for **Supervised Mixture-of-Experts for Surgical Grasping and Retraction**.
+
+This dataset supports learning autonomous surgical-assistant policies for collaborative bowel grasping and retraction. In each demonstration, a surgeon-controlled instrument visually indicates a target bowel segment and the robot assistant performs grasping, retraction, and tension maintenance using stereo endoscopic observations.
+
+## Dataset Description
+
+The data were collected in an OpenHELP open-body phantom setup with two UR5e robotic arms: one static arm holding a stereo endoscope and one arm controlling a laparoscopic bowel grasper through a mechatronic interface. The demonstrations contain stereo endoscopic image pairs, gripper state, and instrument-tip position in the camera coordinate frame.
+
+The associated paper uses this data to train and evaluate a supervised Mixture-of-Experts extension to Action Chunking Transformer (ACT) for a five-phase surgical manipulation task:
+
+1. Idle
+2. Approach and grasp
+3. Hold
+4. Retract
+5. Maintain tension
+
+## Release Files
+
+This release contains two compressed archives:
+
+| Archive | Split | Contents |
+| --- | --- | --- |
+| `bowel_retraction_fixed_viewpoint.tar.zst` | fixed_viewpoint | `v1/`, `v2/` |
+| `bowel_retraction_random_viewpoint.tar.zst` | random_viewpoint | `multicam/multi_camera_exp/`, `multicam/multi_camera_exp2/` |
+
+Archive paths are relative to the dataset root and preserve the raw source folders. For example, files inside the fixed-viewpoint archive are stored as `v1/...` and `v2/...`, not as absolute paths.
+
+`v1` and `v2` are historical raw folder names for two fixed-viewpoint recording days. They are not dataset version numbers. Together, these two folders form the fixed-viewpoint split used in the paper.
+
+Additional release files:
+
+- `manifest.csv`: archive-level manifest.
+- `SHA256SUMS`: SHA256 checksums for the `.tar.zst` archives.
+- `.gitattributes`: Git LFS patterns for archive storage.
+- `LICENSE`: MIT License.
+
+## Verification
+
+Verify archive checksums with:
+
+```bash
+sha256sum -c SHA256SUMS
+```
+
+Inspect archive contents with:
+
+```bash
+tar --use-compress-program="zstd -d" -tf bowel_retraction_fixed_viewpoint.tar.zst
+tar --use-compress-program="zstd -d" -tf bowel_retraction_random_viewpoint.tar.zst
+```
+
+## Citation
+
+If you use this dataset or the associated code, please cite:
+
+```bibtex
+@misc{mazza2026surgicalmoe,
+  title = {Supervised Mixture-of-Experts for Surgical Grasping and Retraction},
+  author = {Mazza, Lorenzo and Rodriguez, Ariel and Younis, Rayan and Lelis, Martin and Hellig, Ortrun and Li, Chenpan and Bodenstedt, Sebastian and Wagner, Martin and Speidel, Stefanie},
+  year = {2026},
+  url = {https://surgical-moe-project.github.io/rss-paper/}
+}
+```
+
+## License
+
+This dataset release is distributed under the MIT License.
+
+## Intended Use
+
+This dataset is intended for research in surgical robotics, imitation learning, autonomous assistance, and endoscopic vision-based robot control. It is not a clinically validated system and should not be used for patient care or clinical decision-making.

SHA256SUMS

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+c32e5e68040e7623b9d22f7b646038d801f90990def2ad3fbf081adcd95666c1  hf_release/bowel_retraction_random_viewpoint.tar.zst

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bowel_retraction_random_viewpoint.tar.zst

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manifest.csv

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+archive_name,split,included_raw_folders,folder_meaning,path_count
+bowel_retraction_fixed_viewpoint.tar.zst,fixed_viewpoint,"v1;v2","raw fixed-viewpoint recording-day folders, not dataset versions",2
+bowel_retraction_random_viewpoint.tar.zst,random_viewpoint,"multicam/multi_camera_exp;multicam/multi_camera_exp2","raw random-viewpoint multicam recording folders",2