update readme

README.md

@@ -1,3 +1,90 @@
 ---
-license: cc-by-nc-nd-4.0
+language_creators:
+- found
+language:
+- code
+license:
+- cc-by-nc-nd-4.0
+multilinguality:
+- multilingual
+pretty_name: RepoBench-Completion
+source_datasets:
+- original
+task_categories:
+- text-retrieval
+task_ids:
+- document-retrieval
 ---
+
+# Dataset Card for RepoBench-R
+
+## Dataset Description
+
+- **Homepage:** https://github.com/Leolty/repobench
+- **Paper:** https://arxiv.org/abs/2306.03091
+
+## Dataset Summary
+
+RepoBench-C is a subtask of [RepoBench](https://github.com/Leolty/repobench), focuing on the prediction of the next line of code, given in-file context (including several preceding lines and import statements), and cross-file context.
+code prediction. 
+
+## Settings
+
+- `cff`: short for cross_file_first, indicating the cross-file module in next line is first used in the current file.
+
+- `cfr`: short for cross_file_random, indicating the cross-file module in next line is not first used in the current file.
+
+- `if`: short for in_file, indicating the next line does not contain any cross-file module.
+
+## Supported Tasks
+
+- `python_cff`: python code prediction with cross-file-first setting.
+- `python_cfr`: python code prediction with cross-file-random setting.
+- `python_if`: python code prediction with in-file setting.
+- `java_cff`: java code prediction with cross-file-first setting.
+- `java_cfr`: java code prediction with cross-file-random setting.
+- `java_if`: java code prediction with in-file setting.
+
+## Loading Data
+
+For example, if you want to load the `test` set to test your model on `Python` code prediction with `cross-file-first` setting, 
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("tianyang/repobench-c", "python_cff", split="test")
+```
+
+## Dataset Structure
+
+```json
+{
+    "repo_name": "repository name of the data point",
+    "file_path": "path/to/file",
+    "context": "commented and concatenated cross-file context",
+    "import_statement": "all import statements in the file",
+    "code": "the code for next-line prediction",
+    "next_line": "the next line of the code"
+}
+```
+
+## Licensing Information
+
+CC BY-NC-ND 4.0
+
+## Citation Information
+
+```bibtex
+@misc{liu2023repobench,
+      title={RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems}, 
+      author={Tianyang Liu and Canwen Xu and Julian McAuley},
+      year={2023},
+      eprint={2306.03091},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+## Contributions
+
+Thanks to [@Leolty](https://github.com/Leolty) for adding this dataset.