["size_categories:n<1K", "format:parquet", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
[{"name": "industry_sector", "dtype": "string"}, {"name": "topic", "dtype": "string"}, {"name": "code_complexity", "dtype": "string"}, {"name": "code_concept", "dtype": "string"}, {"name": "instruction_phrase", "dtype": "string"}, {"name": "instruction", "dtype": "string"}, {"name": "code", "dtype": "string"}, {"name": "code_is_valid", "dtype": "bool"}, {"name": "code_pylint_score", "dtype": "float64"}, {"name": "code_pylint_severity", "dtype": "string"}, {"name": "code_pylint_messages", "list": [{"name": "category", "dtype": "string"}, {"name": "column", "dtype": "int64"}, {"name": "line", "dtype": "int64"}, {"name": "msg", "dtype": "string"}, {"name": "symbol", "dtype": "string"}]}, {"name": "judged_by_llm", "dtype": "bool"}, {"name": "text_to_python_llm_judge_results", "struct": [{"name": "efficiency", "struct": [{"name": "reasoning", "dtype": "string"}, {"name": "score", "dtype": "int64"}]}, {"name": "pythonic", "struct": [{"name": "reasoning", "dtype": "string"}, {"name": "score", "dtype": "int64"}]}, {"name": "readability", "struct": [{"name": "reasoning", "dtype": "string"}, {"name": "score", "dtype": "int64"}]}, {"name": "relevance", "struct": [{"name": "reasoning", "dtype": "string"}, {"name": "score", "dtype": "int64"}]}]}]