{"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":"f61f226c-486e-5ec6-9ff2-a9f7a061f29d","task_key":"default--v0~2e1~2e0~5fhf--f61f226c-486e-5ec6-9ff2-a9f7a061f29d","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf f61f226c-486e-5ec6-9ff2-a9f7a061f29d","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport time\\ndef task_func(df, target_value):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport time\\n\\n\\ndef task_func(df, target_value):\\n    '''\\n    Convert the input dic of list to DataFrame and searcher in this DataFrame for rows with cells equal to the\\n    provided target_value. It then plots the count of such rows per column.\\n\\n    Parameters:\\n    - df (dic of list): The input dict. It should have a 'Name' key.\\n    - target_value (str): The target value to be searched in the DataFrame.\\n\\n    Returns:\\n    tuple: A tuple containing:\\n        - A pandas Series with counts of the target value per column.\\n        - A matplotlib Axes object representing the plot (None if dataframe is empty).\\n\\n    Requirements:\\n    - pandas\\n    - time\\n\\n    Example:\\n    >>> df = {'Column1': ['0', 'a', '332', '33']}\\n    >>> series, ax = task_func(df, '332')\\n    '''\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Convert the input dic of list to DataFrame and searcher in this DataFrame for rows with cells equal to the provided target_value. It then plots the count of such rows per column.\\nThe function should output with:\\n    tuple: A tuple containing:\\n    A pandas Series with counts of the target value per column.\\n    A matplotlib Axes object representing the plot (None if dataframe is empty).\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport time\\ndef task_func(df, target_value):\\n```\",\"libs\":\"['pandas', 'time']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}