| --- |
| dataset_info: |
| splits: |
| - name: test |
| num_bytes: 4645427 |
| num_examples: 100 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: dataset.json |
| --- |
| |
| ### Dataset Summary |
|
|
| RES-Q is a codebase editing benchmark based on compact, natural language instructions. The task is to, given an edit instruction and a codebase, produce a patch file that makes the correct edit to the codebase. |
|
|
| The dataset was released as part of [RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository Scale](https://arxiv.org/abs/2406.16801) |
|
|
| ### Dataset Structure |
| An example of a RES-Q task instance is as follows: |
|
|
| ``` |
| id (str) - A unique identifier for the task instance. |
| repo_url (str) - The URL of the repository involved in the task. |
| instruction (str) - The repository edit instruction. |
| base_commit (str) - The commit hash of the repository representing the HEAD of the repository immediately before the instruction was carried out. |
| test_script (str) - The task's test suite as a python script to be run from the root of the repository. |
| testbed_environment (str) - The python version used to run the test suite. |
| requirements_txt (str) - The pip package dependencies required to run the test suite. |
| solution_commit (str) - The commit hash of the repository representing the HEAD of the repository immediately after the instruction was carried out. |
| solution_patch (str) - The patch in the unified diff format representing the difference between the base and solution commit. |
| modified_files (list): A list of dictionaries containing the relative paths and content of files modified by the solution commit. |
| language (str) - The primary programming language of the repository. |
| ``` |
