Datasets › RepoBench

RepoBench

Introduced by Tianyang Liu et al. in RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems5 Jun 2023 archive 2025-07-28

RepoBench is a benchmark designed for evaluating repository-level code auto-completion systems, focusing on more complex, real-world programming scenarios involving multiple files. It comprises three tasks: RepoBench-R (Retrieval), measuring the system's ability to retrieve relevant code snippets; RepoBench-C (Code Completion), assessing the prediction of the next line of code with both in-file and cross-file context; and RepoBench-P (Pipeline), evaluating complex tasks requiring both retrieval and prediction. RepoBench aims to provide a comprehensive performance comparison to foster continuous improvement in auto-completion systems.

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 17 papers 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

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • RepoBench

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections