Datasets › CoverageEval

CoverageEval

Introduced by Michele Tufano et al. in Predicting Code Coverage without Execution25 Jul 2023 archive 2025-07-28

CoverageEval is a dataset specifically designed for evaluating LLMs on this task. To create CoverageEval, we parse the code coverage logs generated during the execution of the test cases. This parsing step enables us to extract the relevant coverage annotations. We then carefully structure and export the dataset in a format that facilitates its use and evaluation by researchers and practitioners alike.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

MIT license

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CoverageEval

1 variant name, as the archive lists them.

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