{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"bigcodebench","formal_name":"BigCodeBench","introduction":"BigCodeBench poses 1,140 function-level tasks drawn across 139 libraries. It tests whether a model can compose several real APIs correctly rather than write one self-contained function.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://bigcode-bench.github.io/","indexing_mode":"index","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[],"history":"","construction":"","limitations":"","saturation":"","scores":[]}},"task_id":"8e9a0b97-a80d-5d0b-908d-0bc18bd1e917","task_key":"default--v0~2e1~2e0~5fhf--8e9a0b97-a80d-5d0b-908d-0bc18bd1e917","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 8e9a0b97-a80d-5d0b-908d-0bc18bd1e917","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport numpy as np\\ndef task_func(data, cols):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport numpy as np\\n\\ndef task_func(data, cols):\\n    \\\"\\\"\\\"\\n    Turn the provided data into a DataFrame and then calculate the correlation matrix of numeric columns.\\n    \\n    Parameters:\\n    - data (list): List of lists with the data, where the length of the inner list equals the number of columns\\n    - cols (list): List of column names\\n    \\n    Returns:\\n    - correlation_matrix (pd.DataFrame): The correlation matrix.\\n\\n    Requirements:\\n    - pandas\\n    - numpy\\n    \\n    Example:\\n    >>> correlation_matrix = task_func([[5.1, 3.5, 1.4], [4.9, 3.0, 1.4], [4.7, 3.2, 1.3]], ['x', 'y', 'z'])\\n    >>> print(correlation_matrix)\\n              x         y         z\\n    x  1.000000  0.596040  0.866025\\n    y  0.596040  1.000000  0.114708\\n    z  0.866025  0.114708  1.000000\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Turn the provided data into a DataFrame and then calculate the correlation matrix of numeric columns.\\nThe function should output with:\\n    correlation_matrix (pd.DataFrame): The correlation matrix.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport numpy as np\\ndef task_func(data, cols):\\n```\",\"libs\":\"['pandas', 'numpy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}