Update dataset card with Simple Recipe Works paper and GitHub link

This PR updates the dataset card to include:
- A reference to the paper ["Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning"](https://huggingface.co/papers/2603.11653) which uses this dataset.
- A link to the associated [GitHub repository](https://github.com/UT-Austin-RobIn/continual-vla-rl).
- Sample usage for downloading the dataset via the CLI, as found in the GitHub README.
- The `robotics` task category in the YAML metadata.
- An updated citation section including the new paper.

README.md

@@ -1,25 +1,50 @@
----
-license: mit
----
-# Modified LIBERO RLDS Datasets
-
-This repository contains the four modified [LIBERO](https://libero-project.github.io/main.html) datasets
-used in the OpenVLA fine-tuning experiments, stored in RLDS data format. See Appendix E in the
-[OpenVLA paper](https://arxiv.org/abs/2406.09246) for details about the fine-tuning experiments and
-specific dataset modifications, and see the [OpenVLA GitHub README](https://github.com/openvla/openvla/blob/main/README.md)
-for instructions on how to run OpenVLA in LIBERO environments.
-
-## Citation
-
-**BibTeX:**
-
-```bibtex
-@article{kim24openvla,
-    title={OpenVLA: An Open-Source Vision-Language-Action Model},
-    author={{Moo Jin} Kim and Karl Pertsch and Siddharth Karamcheti and Ted Xiao and Ashwin Balakrishna and Suraj Nair and Rafael Rafailov and Ethan Foster and Grace Lam and Pannag Sanketi and Quan Vuong and Thomas Kollar and Benjamin Burchfiel and Russ Tedrake and Dorsa Sadigh and Sergey Levine and Percy Liang and Chelsea Finn},
-    journal = {arXiv preprint arXiv:2406.09246},
-    year={2024}
-} 
-```
-
-Please also refer to the [LIBERO project repo](https://github.com/Lifelong-Robot-Learning/LIBERO) for the LIBERO citation.
+---
+license: mit
+task_categories:
+- robotics
+---
+
+# Modified LIBERO RLDS Datasets
+
+This repository contains the four modified [LIBERO](https://libero-project.github.io/main.html) datasets used in the OpenVLA fine-tuning experiments and subsequent research on continual reinforcement learning for Vision-Language-Action (VLA) models. The datasets are stored in the RLDS data format.
+
+These datasets are featured in the following papers:
+- **[Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning](https://huggingface.co/papers/2603.11653)** (2026)
+- **[OpenVLA: An Open-Source Vision-Language-Action Model](https://arxiv.org/abs/2406.09246)** (2024)
+
+For details about the fine-tuning experiments and specific dataset modifications, see Appendix E in the OpenVLA paper. Instructions for running experiments can be found in the [OpenVLA GitHub](https://github.com/openvla/openvla) and the [continual-vla-rl GitHub](https://github.com/UT-Austin-RobIn/continual-vla-rl).
+
+## Usage
+
+You can download the dataset using the Hugging Face CLI:
+
+```bash
+hf download openvla/modified_libero_rlds --repo-type dataset --local-dir ./LIBERO/libero/datasets/
+```
+
+## Citation
+
+If you use these datasets, please cite the following works:
+
+**Simple Recipe Works:**
+```bibtex
+@article{hu2026vlacrl,
+  title={Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning},
+  author={Hu, Jiaheng and Shim, Jay and Tang, Chen and Sung, Yoonchang and Liu, Bo and Stone, Peter and Martin-Martin, Roberto},
+  journal={arXiv preprint arXiv:2603.11653},
+  year={2026},
+  url={https://arxiv.org/abs/2603.11653}
+}
+```
+
+**OpenVLA:**
+```bibtex
+@article{kim24openvla,
+    title={OpenVLA: An Open-Source Vision-Language-Action Model},
+    author={{Moo Jin} Kim and Karl Pertsch and Siddharth Karamcheti and Ted Xiao and Ashwin Balakrishna and Suraj Nair and Rafael Rafailov and Ethan Foster and Grace Lam and Pannag Sanketi and Quan Vuong and Thomas Kollar and Benjamin Burchfiel and Russ Tedrake and Dorsa Sadigh and Sergey Levine and Percy Liang and Chelsea Finn},
+    journal = {arXiv preprint arXiv:2406.09246},
+    year={2024}
+} 
+```
+
+Please also refer to the [LIBERO project repo](https://github.com/Lifelong-Robot-Learning/LIBERO) for the original LIBERO citation.