Datasets:

Modalities:
Tabular
Text
Formats:
json
Size:
< 1K
ArXiv:
Libraries:
Datasets
pandas
License:

Improve dataset card with tags, structure, and description

#3
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +43 -9
README.md CHANGED
@@ -1,26 +1,60 @@
1
  ---
2
  license: mit
 
 
 
 
 
 
 
3
  ---
4
 
 
5
 
 
6
 
 
 
 
7
 
8
- 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:
9
  ```python
10
- input = "5\n1 2 3 4 5\n"
 
 
11
  output = "15"
12
  ```
13
- CodeContests and CodeForces are using this format, however, MBPP and part of LiveCodeBench are using functional input/output format, such like
14
- ```python
15
- assert sum_function([1, 2, 3, 4, 5]) == 15
16
- ```
17
- In this project, we have converted the the functional format to the Stdio format to achieve consistency.
18
 
19
- [Paper](https://arxiv.org/abs/2506.03136) | [Code](https://github.com/Gen-Verse/CURE)
 
 
 
 
 
 
 
 
 
 
 
20
 
21
- # Citation
22
 
 
 
 
 
 
23
  ```
 
 
 
 
 
 
 
 
 
 
24
  @article{wang2025cure,
25
  title={Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning},
26
  author={Wang, Yinjie and Yang, Ling and Tian, Ye and Shen, Ke and Wang, Mengdi},
 
1
  ---
2
  license: mit
3
+ task_categories:
4
+ - text-generation
5
+ tags:
6
+ - code-generation
7
+ - unit-testing
8
+ - reinforcement-learning
9
+ - llm
10
  ---
11
 
12
+ # CURE: Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning Datasets
13
 
14
+ This repository contains datasets used in the CURE framework for co-evolving LLMs for code generation and unit testing. The data is formatted using Stdio input/output for consistency.
15
 
16
+ ## Data Format
17
+
18
+ We use the Stdio input/output format. For example, for the task of calculating the sum of a list:
19
 
 
20
  ```python
21
+ input = "5
22
+ 1 2 3 4 5
23
+ "
24
  output = "15"
25
  ```
 
 
 
 
 
26
 
27
+ CodeContests and CodeForces use this format. MBPP and parts of LiveCodeBench use a functional format (e.g., `assert sum_function([1, 2, 3, 4, 5]) == 15`), which has been converted to Stdio for consistency in this project.
28
+
29
+ ## Datasets Included
30
+
31
+ The dataset includes the following:
32
+
33
+ - CodeContests
34
+ - LiveBench
35
+ - LiveCodeBench
36
+ - CodeForces
37
+ - MBPP
38
+ - CodeContests_train (Training Data)
39
 
40
+ ## Downloading the Datasets
41
 
42
+ Use the `download_dataset.py` script to download the datasets. For example, to download LiveBench:
43
+
44
+ ```bash
45
+ cd data
46
+ python download_dataset.py --dataset LiveBench
47
  ```
48
+
49
+ Replace `LiveBench` with other dataset names as needed. To download training data use `CodeContests_train`.
50
+
51
+ ## Paper & Code
52
+
53
+ [Paper](https://huggingface.co/papers/2506.03136) | [Code](https://github.com/Gen-Verse/CURE)
54
+
55
+ ## Citation
56
+
57
+ ```bibtex
58
  @article{wang2025cure,
59
  title={Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning},
60
  author={Wang, Yinjie and Yang, Ling and Tian, Ye and Shen, Ke and Wang, Mengdi},