{"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":"12e79bb8-974b-5170-89c5-3a535573de1e","task_key":"default--v0~2e1~2e0~5fhf--12e79bb8-974b-5170-89c5-3a535573de1e","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 12e79bb8-974b-5170-89c5-3a535573de1e","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nfrom sklearn.linear_model import LinearRegression\\ndef task_func(df, target):\\n\",\"complete_prompt\":\"import pandas as pd\\nfrom sklearn.linear_model import LinearRegression\\n\\ndef task_func(df, target):\\n    \\\"\\\"\\\"\\n    Perform a linear regression analysis on a given DataFrame.\\n    \\n    Parameters:\\n    - df (pd.DataFrame): The pandas DataFrame.\\n    - target (str): The target variable.\\n    \\n    Returns:\\n    - score (float): The R-squared score of the model.\\n\\n    Requirements:\\n    - pandas\\n    - sklearn\\n\\n    Example:\\n    >>> import numpy as np\\n    >>> np.random.seed(42)\\n    >>> df = pd.DataFrame({'feature': np.random.rand(100), 'target': np.random.rand(100)})  # Explicitly using pd\\n    >>> r_squared = task_func(df, 'target')\\n    >>> print(r_squared)\\n    0.0011582111228732872\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Perform a linear regression analysis on a given DataFrame.\\nThe function should output with:\\n    score (float): The R-squared score of the model.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nfrom sklearn.linear_model import LinearRegression\\ndef task_func(df, target):\\n```\",\"libs\":\"['pandas', 'sklearn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}