SWE-Bench Pro: Benchmark for Evaluating AI Agents on Software Engineering Tasks
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tosh
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Summary
SWE-Bench Pro is a benchmark dataset designed to evaluate language models and AI agents on long-horizon software engineering tasks. The benchmark requires AI systems to generate patches that resolve issues in codebases, testing their ability to handle complex software engineering problems. The dataset is inspired by SWE-Bench and is available through the Hugging Face datasets library.
Key quotes
· 3 pulledSWE-Bench Pro is a challenging benchmark evaluating LLMs/Agents on long-horizon software engineering tasks
Given a codebase and an issue, a language model is tasked with generating a patch that resolves the described problem
The dataset is inspired from SWE-Bench: https://github.com/SWE-bench/SWE-bench
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