Multipl-E MBPP

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MultiPL-E extends the Mostly Basic Python Problems (MBPP) benchmark to 18+ programming languages for evaluating multilingual code generation capabilities. MBPP contains 974 crowd-sourced programming problems designed to be solvable by entry-level programmers, covering programming fundamentals and standard library functionality. Each problem includes a task description, code solution, and automated test cases.

Methodology

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

Leaderboard

  1. Llama 3.1 405B Instruct self-reported llm-stats
    65.7%
  2. Llama 3.1 70B Instruct self-reported llm-stats
    62.0%
  3. Llama 3.1 8B Instruct self-reported llm-stats
    52.4%