{"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":"583b3294-1737-519c-b893-d442e2ee899f","task_key":"default--v0~2e1~2e0~5fhf--583b3294-1737-519c-b893-d442e2ee899f","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 583b3294-1737-519c-b893-d442e2ee899f","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"from scipy import stats\\nimport matplotlib.pyplot as plt\\ndef task_func(data_dict, data_keys):\\n\",\"complete_prompt\":\"from scipy import stats\\nimport matplotlib.pyplot as plt\\n\\n\\ndef task_func(data_dict, data_keys):\\n    \\\"\\\"\\\"\\n    Calculate the correlation between two data series and return a scatter plot along with the correlation coefficient.\\n    \\n    Parameters:\\n    data_dict (dict): The dictionary containing data. Keys should match those provided in data_keys.\\n    data_keys (list): The list of keys (length of 2) used to access data in data_dict for correlation.\\n    \\n    Returns:\\n    tuple: \\n        - float: The correlation coefficient.\\n        - Axes: The scatter plot of the two data series.\\n    \\n    Requirements:\\n    - scipy\\n    - matplotlib.pyplot\\n    \\n    Example:\\n    >>> data_dict = {'X': [1, 2, 3, 4, 5], 'Y': [2, 3, 5, 7, 8]}\\n    >>> data_keys = ['X', 'Y']\\n    >>> correlation, plot = task_func(data_dict, data_keys)\\n    >>> round(correlation, 4)\\n    0.9923\\n    >>> isinstance(plot, plt.Axes)\\n    True\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Calculate the correlation between two data series and return a scatter plot along with the correlation coefficient.\\nThe function should output with:\\n    tuple:\\n    float: The correlation coefficient.\\n    Axes: The scatter plot of the two data series.\\nYou should write self-contained code starting with:\\n```\\nfrom scipy import stats\\nimport matplotlib.pyplot as plt\\ndef task_func(data_dict, data_keys):\\n```\",\"libs\":\"['matplotlib', 'scipy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}