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--- |
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dataset_info: |
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splits: |
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- name: test |
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num_bytes: 4645427 |
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num_examples: 100 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: dataset.json |
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--- |
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### Dataset Summary |
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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. |
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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) |
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### Dataset Structure |
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An example of a RES-Q task instance is as follows: |
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``` |
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id (str) - A unique identifier for the task instance. |
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repo_url (str) - The URL of the repository involved in the task. |
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instruction (str) - The repository edit instruction. |
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base_commit (str) - The commit hash of the repository representing the HEAD of the repository immediately before the instruction was carried out. |
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test_script (str) - The task's test suite as a python script to be run from the root of the repository. |
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testbed_environment (str) - The python version used to run the test suite. |
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requirements_txt (str) - The pip package dependencies required to run the test suite. |
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solution_commit (str) - The commit hash of the repository representing the HEAD of the repository immediately after the instruction was carried out. |
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solution_patch (str) - The patch in the unified diff format representing the difference between the base and solution commit. |
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modified_files (list): A list of dictionaries containing the relative paths and content of files modified by the solution commit. |
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language (str) - The primary programming language of the repository. |
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``` |
