{"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":"27995700-3f7f-58ba-8195-36bf0e71d531","task_key":"default--v0~2e1~2e0~5fhf--27995700-3f7f-58ba-8195-36bf0e71d531","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 27995700-3f7f-58ba-8195-36bf0e71d531","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(data):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\n\\ndef task_func(data):\\n    \\\"\\\"\\\"\\n    Combine a list of dictionaries with the same keys into a single dictionary, turn it into a\\n    Pandas DataFrame and create a line plot of the data.\\n\\n    Parameters:\\n    data (list): A list of dictionaries. The keys are labels and the values are data points.\\n\\n    Returns:\\n    matplotlib.axes._axes.Axes or None: Axes object of the plot showing 'Data over Time',\\n                                                   with 'Time' on the x-axis and 'Data Points' on the y-axis.\\n                                                   If data is empty, return None.\\n\\n    Requirements:\\n    - pandas\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> ax = task_func([{'A': 10, 'B': 15, 'C': 12},\\\\\\n                    {'A': 12, 'B': 20, 'C': 14},\\\\\\n                    {'A': 15, 'B': 18, 'C': 15},\\\\\\n                    {'A': 11, 'B': 17, 'C': 13}])\\n    >>> type(ax)\\n    <class 'matplotlib.axes._axes.Axes'>\\n    >>> ax.get_title()\\n    'Data over Time'\\n    >>> len(ax.lines)\\n    3\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Combine a list of dictionaries with the same keys into a single dictionary, turn it into a Pandas DataFrame and create a line plot of the data.\\nThe function should output with:\\n    matplotlib.axes._axes.Axes or None: Axes object of the plot showing 'Data over Time',\\n    with 'Time' on the x-axis and 'Data Points' on the y-axis.\\n    If data is empty, return None.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(data):\\n```\",\"libs\":\"['pandas', 'matplotlib']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}