{"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":"5ec36b9d-00c7-557e-94e7-dd8c2382a56c","task_key":"default--v0~2e1~2e0~5fhf--5ec36b9d-00c7-557e-94e7-dd8c2382a56c","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 5ec36b9d-00c7-557e-94e7-dd8c2382a56c","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nfrom scipy import stats\\ndef task_func(df, column, alpha):\\n\",\"complete_prompt\":\"import numpy as np\\nfrom scipy import stats\\n\\n\\ndef task_func(df, column, alpha):\\n    \\\"\\\"\\\"\\n    Test the normality of a particular numeric column from a DataFrame with Shapiro-Wilk test, \\n    including an artificial step to explicitly use np.\\n\\n    Parameters:\\n    - df (pd.DataFrame): The input DataFrame.\\n    - column (str): The column name.\\n    - alpha (float): The significance level.\\n\\n    Returns:\\n    - bool: True if the column passes the normality test, False otherwise.\\n\\n    Requirements:\\n    - numpy\\n    - scipy.stats\\n    \\n    Example:\\n    >>> import pandas as pd\\n    >>> np.random.seed(0)\\n    >>> df = pd.DataFrame({'Value': np.random.normal(0, 1, 1000)})\\n    >>> print(task_func(df, 'Value', 0.05))\\n    True\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Test the normality of a particular numeric column from a DataFrame with Shapiro-Wilk test, including an artificial step to explicitly use np.\\nThe function should output with:\\n    bool: True if the column passes the normality test, False otherwise.\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nfrom scipy import stats\\ndef task_func(df, column, alpha):\\n```\",\"libs\":\"['numpy', 'scipy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}