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💡Dataset for detecting problems in code
SWE-bench is a dataset that was designed to provide a diverse set of codebase issues that could be verified using unit tests in repositories. The full SWE-bench split includes 2,294 issue-commit pairs across 12 python repositories.
Thus, the dataset offers a new task: solving problems in the presence of a complete repository and an issue on GitHub.
To load a dataset using a Python script, you can use the following command:
from datasets import load_dataset
dataset = load_dataset("princeton-nlp/SWE-bench")
huggingface.co princeton-nlp/SWE-bench · Datasets at Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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