MERA-evaluation/CodeLinterEval

CodeLinterEval Task description The aim of benchmark is identifying the capabilities of models for generating and correcting code based on linter errors. Dataset contains 110 tasks. Tested skills: Instruction Following, Code Perception, Style Guides, Review, Editing Authors: Vikulov Vladimir, Bykov Anton, Piktovnikov Kirill Мотивация The aim of benchmark is identifying the capabilities of models for generating and correcting code based on linter errors. The… See the full description on the dataset page: https://huggingface.co/datasets/MERA-evaluation/CodeLinterEval.

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