Datasets › RepoQA

RepoQA

archive 2025-07-28

RepoQA is a benchmark that aims to exercise the long-context code understanding ability of Language Learning Models (LLMs)². It supports repositories from 5 programming languages: Python, C++, TypeScript, Rust, and Java².

The goal of RepoQA is to evaluate LLMs on long-context tasks that can reflect real-life uses². For example, it includes a function called repoqa.search_needle_function that evaluates model outputs and computes scores after text generation³.

(1) Releases · evalplus/repoqa · GitHub. https://github.com/evalplus/repoqa/releases. (2) RepoQA: Evaluating Long-Context Code Understanding - GitHub. https://github.com/evalplus/repoqa. (3) BrowserBench.org — Browser Benchmarks. https://browserbench.org/.

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

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Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • RepoQA

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