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BigCodeBench: multi-library code generation from complex instructions

Contribution grade

Code-generation benchmarks · Evaluation resource design

Reference score80,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Used human-LLM collaboration to construct programming tasks requiring multiple library calls, with docstring-completion and natural-language-instruction variants and execution-based tests.

Scientific scope

Used human-LLM collaboration to construct programming tasks requiring multiple library calls, with docstring-completion and natural-language-instruction variants and execution-based tests. The resource contains generated then curated tasks, not purely human-authored problems. High branch coverage does not prove semantic completeness.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. The resource contains generated then curated tasks, not purely human-authored problems. High branch coverage does not prove semantic completeness.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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