{"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":"7a4ce2be-4df8-5e95-af70-992abee52299","task_key":"default--v0~2e1~2e0~5fhf--7a4ce2be-4df8-5e95-af70-992abee52299","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 7a4ce2be-4df8-5e95-af70-992abee52299","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport random\\n# Constants\\nN_DATA_POINTS = 10000\\nMIN_VALUE = 0.0\\nMAX_VALUE = 10.0\\ndef task_func(n_data_points=N_DATA_POINTS):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport random\\n\\n\\n# Constants\\nN_DATA_POINTS = 10000\\nMIN_VALUE = 0.0\\nMAX_VALUE = 10.0\\n\\ndef task_func(n_data_points=N_DATA_POINTS):\\n    '''\\n    Generate a random set of floating-point numbers, truncate each value to 3 decimal places, and return them in a DataFrame.\\n    The number of data points to generate can be specified. If zero, returns an empty DataFrame.\\n\\n    Parameters:\\n    n_data_points (int): Number of data points to generate. Default is 10000.\\n\\n    Returns:\\n    DataFrame: A pandas DataFrame containing one column 'Value' with the generated data. Empty if n_data_points is 0.\\n\\n    Note:\\n    - This function use 'Value' for the column name in returned DataFrame \\n\\n    Requirements:\\n    - pandas\\n    - random\\n\\n    Example:\\n    >>> random.seed(0)\\n    >>> data = task_func(20)\\n    >>> print(data.shape)\\n    (20, 1)\\n    >>> MIN_VALUE <= data.iloc[0]['Value'] <= MAX_VALUE\\n    True\\n    '''\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate a random set of floating-point numbers, truncate each value to 3 decimal places, and return them in a DataFrame. The number of data points to generate can be specified. If zero, returns an empty DataFrame.\\nNote that: This function use 'Value' for the column name in returned DataFrame\\nThe function should output with:\\n    DataFrame: A pandas DataFrame containing one column 'Value' with the generated data. Empty if n_data_points is 0.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport random\\n# Constants\\nN_DATA_POINTS = 10000\\nMIN_VALUE = 0.0\\nMAX_VALUE = 10.0\\ndef task_func(n_data_points=N_DATA_POINTS):\\n```\",\"libs\":\"['pandas', 'random']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}