Improve dataset card: Add task category, library, paper, code, and sample usage

README.md

@@ -1,11 +1,37 @@
 ---
 license: apache-2.0
+task_categories:
+- robotics
+library_name:
+- rlds
+tags:
+- reinforcement-learning
+- policy-distillation
+- manipulation
+- maniskill
+- vla
 ---
+
 # Maniskill Sub-Dataset in RLDS Format used in RPD
-This repo contains the maniskill subset in RLDS format used to train Octo and OpenVLA in the [Refined Policy Distillation](https://refined-policy-distillation.github.io/) paper which distilled these models using RL. 
+
+This repository contains the maniskill subset in RLDS format used to train Octo and OpenVLA in the paper [Refined Policy Distillation: From VLA Generalists to RL Experts](https://huggingface.co/papers/2503.05833), which distilled these models using RL.
+
+Project page: https://refined-policy-distillation.github.io
+Code: https://github.com/Refined-Policy-Distillation/RPD
 
 Checkout [octo-base-1.5-finetuned-maniskill](https://huggingface.co/Juelg/octo-base-1.5-finetuned-maniskill) and [openvla-7b-finetuned-maniskill](https://huggingface.co/Juelg/openvla-7b-finetuned-maniskill) which have been fine-tuned with that dataset.
 
+## Sample Usage
+
+You can download the dataset using `git lfs`:
+
+```bash
+git lfs install
+git clone git@Juelg/RPD-maniskill
+```
+
+The dataset is in RLDS format and can be loaded and visualized using tools such as [dlimp](https://github.com/kvablack/dlimp).
+
 ## Citation
 If you find RPD useful for your work, please consider citing it:
 ```