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README.md
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### Dataset Summary
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The dataset was released as part of [
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### Dataset Structure
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An example of a
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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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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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- name: base_commit
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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 the Capability of Language Models in Large-Scale Software Development](https://arxiv.org/abs/[ARXIV_LINK])
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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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