{"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":"852b4b6c-89e8-5fda-8b07-7b05c596bf60","task_key":"default--v0~2e1~2e0~5fhf--852b4b6c-89e8-5fda-8b07-7b05c596bf60","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 852b4b6c-89e8-5fda-8b07-7b05c596bf60","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(data, column_name=\\\"target_column\\\"):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\n\\ndef task_func(data, column_name=\\\"target_column\\\"):\\n    \\\"\\\"\\\"\\n    Converts a given JSON data into a Pandas DataFrame and plots a histogram of a specified column.\\n    The function handles non-numeric columns by converting them to categorical type and then to numeric codes. \\n    It also checks if the specified column exists in the DataFrame.\\n\\n    - The histogram's title is set to 'Histogram of <column_name>'.\\n    - The histogram's x-label are set to the name of the specified column.\\n    \\n    Parameters:\\n    - data (list of dict)\\n    - column_name (str, optional)\\n\\n    Returns:\\n    - DataFrame: A pandas DataFrame created from the input JSON data.\\n    - Axes: A matplotlib Axes object showing the histogram plot of the specified column.\\n\\n    Exceptions:\\n    - ValueError: Raised if the specified column name does not exist in the DataFrame.\\n\\n    Requirements:\\n    - pandas\\n    - matplotlib\\n\\n    Example:\\n    >>> sample_data = [{'userId': 1, 'value': 10}, {'userId': 2, 'value': 15}]\\n    >>> df, ax = task_func(sample_data, 'userId')\\n    >>> print(df)\\n       userId  value\\n    0       1     10\\n    1       2     15\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Converts a given JSON data into a Pandas DataFrame and plots a histogram of a specified column. The function handles non-numeric columns by converting them to categorical type and then to numeric codes. It also checks if the specified column exists in the DataFrame. - The histogram's title is set to 'Histogram of <column_name>'. - The histogram's x-label are set to the name of the specified column. Exceptions: - ValueError: Raised if the specified column name does not exist in the DataFrame.\\nThe function should output with:\\n    DataFrame: A pandas DataFrame created from the input JSON data.\\n    Axes: A matplotlib Axes object showing the histogram plot of the specified column.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(data, column_name=\\\"target_column\\\"):\\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":[]}