Improve dataset card with task category, tags, and improved formatting

README.md

@@ -1,26 +1,55 @@
 ---
 license: mit
+task_categories:
+- text-generation
+tags:
+- code-generation
+- unit-testing
+- reinforcement-learning
+- llm
 ---
 
+# Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning Datasets
 
+This repository contains datasets used in the CURE framework for co-evolving coding and unit testing capabilities in LLMs. The data is formatted using Stdio input/output.
 
+**Data Format:**
+
+For tasks like calculating the sum of a list, the input/output is formatted as follows:
 
-We use Stdio input/output format here. For example, for the task to calculate the sum of a list, the input and output are in the following format:
 ```python
-input = "5\n1 2 3 4 5\n"
+input = "5
+1 2 3 4 5
+"
 output = "15"
 ```
-CodeContests and CodeForces are using this format, however, MBPP and part of LiveCodeBench are using functional input/output format, such like
-```python
-assert sum_function([1, 2, 3, 4, 5]) == 15
+
+Note that some datasets were originally in a functional format (e.g., `assert sum_function([1, 2, 3, 4, 5]) == 15`) and have been converted to the Stdio format for consistency.
+
+**Datasets Included:**
+
+- CodeContests
+- LiveBench
+- LiveCodeBench
+- CodeForces
+- MBPP
+- CodeContests_train (training data)
+
+**Downloading Datasets:**
+
+Use the following commands to download the datasets:
+
+```bash
+cd data
+python download_dataset.py --dataset LiveBench  # Example: Download LiveBench dataset
+python download_dataset.py --dataset CodeContests_train # Example: Download training data
 ```
-In this project, we have converted the the functional format to the Stdio format to achieve consistency.
 
 [Paper](https://arxiv.org/abs/2506.03136) | [Code](https://github.com/Gen-Verse/CURE)
 
 # Citation
 
-```
+```bibtex
 @article{wang2025cure,
   title={Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning},
   author={Wang, Yinjie and Yang, Ling and Tian, Ye and Shen, Ke and Wang, Mengdi},