Add dataset card, paper link, and sample usage

README.md

@@ -1,3 +1,44 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- text-generation
+---
+
+# MultiFileTest (ProjectTest)
+
+MultiFileTest (also referred to as ProjectTest) is a multi-file-level benchmark for unit test generation covering Python, Java, and JavaScript. It features 20 moderate-sized and high-quality projects per language, designed to evaluate Large Language Models (LLMs) on more practical and challenging multi-file-level codebases compared to standard single-file benchmarks.
+
+- **Paper:** [MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms](https://huggingface.co/papers/2502.06556)
+- **GitHub Repository:** [https://github.com/YiboWANG214/ProjectTest](https://github.com/YiboWANG214/ProjectTest)
+
+## Dataset Statistics
+
+| Language   | Avg. #Files | Avg. LOC | Avg. #Stars | Avg. #Forks |
+|------------|------------|----------|-------------|-------------|
+| Python     | 6.10       | 654.60   | 5810.30     | 996.90      |
+| Java       | 4.65       | 282.60   | 3306.05     | 1347.65     |
+| JavaScript | 4.00       | 558.05   | 17242.30    | 5476.45     |
+
+## Sample Usage
+
+You can load this dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+# Login using e.g. `huggingface-cli login` to access this dataset
+ds = load_dataset("yibowang214/ProjectTest")
+```
+
+## Citation
+
+If you find this work useful, please consider citing:
+
+```bibtex
+@article{wang2025projecttest,
+  title={ProjectTest: A Project-level Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms},
+  author={Wang, Yibo and Xia, Congying and Zhao, Wenting and Du, Jiangshu and Miao, Chunyu and Deng, Zhongfen and Yu, Philip S and Xing, Chen},
+  journal={arXiv preprint arXiv:2502.06556},
+  year={2025}
+}
+```