RepoBench

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RepoBench is a benchmark for evaluating repository-level code auto-completion systems through three interconnected tasks: RepoBench-R (retrieval of relevant code snippets across files), RepoBench-C (code completion with cross-file and in-file context), and RepoBench-P (pipeline combining retrieval and prediction). Supports Python and Java programming languages and addresses the gap in evaluating real-world, multi-file programming scenarios by providing a more complete comparison of performance in auto-completion systems.

Methodology

Imported from llm-stats public benchmark metadata. Modality: text. Max score: 1. Categories: code, reasoning. Language: en. Verified by llm-stats: no.

Leaderboard

  1. Codestral-22B self-reported llm-stats
    34.0%