--- dataset_info: features: - name: id dtype: string - name: repo_url dtype: string - name: instruction dtype: string - name: base_commit dtype: string - name: test_script dtype: string - name: testbed_environment dtype: string - name: requirements_txt dtype: string - name: solution_commit dtype: string - name: solution_patch dtype: string - name: modified_files dtype: string - name: language dtype: string 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 the Capability of Language Models in Large-Scale Software Development](https://arxiv.org/abs/[ARXIV_LINK]) ### 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 parent and solution commit. modified_files (str) - A dictionary of files and their content that were modified by the solution commit. language (str) - The primary programming language of the repository. ```