{"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":"42b50af8-0116-51c4-ac75-de1c32b4afd5","task_key":"default--v0~2e1~2e0~5fhf--42b50af8-0116-51c4-ac75-de1c32b4afd5","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 42b50af8-0116-51c4-ac75-de1c32b4afd5","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\\n\\ndef task_func(data):\\n    \\\"\\\"\\\"\\n    Combine a list of dictionaries with the same keys (fruit names) into a single pandas dataframe\\n    where NA/NaN values are filled with 0, then generate a line chart of sales.\\n    The chart should have title 'Fruit Sales over Time', x-axis 'Time', and y-axis 'Sales Quantity'.\\n\\n    Parameters:\\n    - data (list): A list of dictionaries. Each element correspond to sales quantities at a point in time,\\n                   where keys are fruit names (str) and values are sales quantities (int). If values\\n                   are not the expected type, this function raises TypeError.\\n\\n    Returns:\\n    - matplotlib.axes._axes.Axes: The generated plot's Axes object.\\n\\n    Requirements:\\n    - pandas\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> task_func([{'apple': 10, 'banana': 15, 'cherry': 12, 'durian': 0}])\\n    <Axes: title={'center': 'Fruit Sales over Time'}, xlabel='Time', ylabel='Sales Quantity'>\\n    >>> task_func([{'apple': 10, 'banana': 15, 'cherry': 12}, {'apple': 12, 'banana': 20, 'cherry': 14}])\\n    <Axes: title={'center': 'Fruit Sales over Time'}, xlabel='Time', ylabel='Sales Quantity'>\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Combine a list of dictionaries with the same keys (fruit names) into a single pandas dataframe where NA/NaN values are filled with 0, then generate a line chart of sales. The chart should have title 'Fruit Sales over Time', x-axis 'Time', and y-axis 'Sales Quantity'.\\nThe function should output with:\\n    matplotlib.axes._axes.Axes: The generated plot's Axes object.\\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":[]}