Add paper link, GitHub repository, and citation to ManiSoft dataset card

README.md

@@ -1,12 +1,12 @@
 ---
-pretty_name: ManiSoft
-license: mit
 language:
 - en
+license: mit
 size_categories:
 - 1K<n<10K
 task_categories:
 - robotics
+pretty_name: ManiSoft
 tags:
 - robotics
 - soft-robotics
@@ -17,7 +17,9 @@ tags:
 - simulation
 ---
 
-# ManiSoft
+# ManiSoft: Towards Vision-Language Manipulation for Soft Continuum Robotics
+
+[**Project Page**](https://buaa-colalab.github.io/ManiSoft) | [**Paper**](https://huggingface.co/papers/2605.18617) | [**GitHub**](https://github.com/buaa-colalab/ManiSoft)
 
 ManiSoft is a soft-robot manipulation dataset and benchmark for vision-language-action learning. It contains expert demonstrations for four manipulation tasks:
 
@@ -145,33 +147,6 @@ bash data_extract.sh <tar_root_dir> <max_processes> <delete_tar_file>
   - `0`: keep tar files
   - `1`: delete tar files
 
-### Typical Examples
-
-Extract all dataset shards under the downloaded directory and keep the original tar files:
-
-```bash
-bash data_extract.sh ./ManiSoft 8 0
-```
-
-Extract all dataset shards and delete each tar file after successful extraction:
-
-```bash
-bash data_extract.sh ./ManiSoft 8 1
-```
-
-Extract only the `clean` subset:
-
-```bash
-bash data_extract.sh ./ManiSoft/clean 8 1
-```
-
-### What the Script Does
-
-- recursively finds all `.tar` files under `tar_root_dir`
-- extracts them in parallel
-- restores files into the original relative paths stored in each tar shard
-- optionally removes the source tar files after successful extraction
-
 ## Recommended Workflow
 
 ```bash
@@ -187,8 +162,21 @@ If you also need simulator assets:
 tar -xvf assets.tar
 ```
 
+## Citation
+
+If you use ManiSoft in your research, please cite:
+
+```bibtex
+@article{wei2026manisoft,
+      title={ManiSoft: Towards Vision-Language Manipulation for Soft Continuum Robotics},
+      author={Ziyu Wei and Luting Wang and Chen Gao and Li Wen and Si Liu},
+      journal={arXiv preprint arXiv:2605.18617},
+      year={2026},
+}
+```
+
 ## Notes
 
 - The extraction script requires a Unix-like shell environment with `bash`, `find`, `tar`, and standard job control support.
 - Different shards may expand into the same `train/` or `eval/` directory tree. This is expected.
-- `trajectory.pkl` is the main expert trajectory file used for imitation learning and replay.
+- `trajectory.pkl` is the main expert trajectory file used for imitation learning and replay.