{"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":"b310c610-1cae-5e9d-907a-1c83e7b17540","task_key":"default--v0~2e1~2e0~5fhf--b310c610-1cae-5e9d-907a-1c83e7b17540","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf b310c610-1cae-5e9d-907a-1c83e7b17540","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nfrom collections import Counter\\ndef task_func(df):\\n\",\"complete_prompt\":\"import pandas as pd\\nfrom collections import Counter\\n\\ndef task_func(df):\\n    \\\"\\\"\\\"\\n    Calculate the frequency of combinations of elements in a DataFrame.\\n    The function adds a 'combination' column to the DataFrame, which is the combination of items in each row.\\n    It then calculates the frequency of each combination.\\n    \\n    Parameters:\\n    - df (pandas.DataFrame): The input DataFrame with columns 'item1', 'item2', 'item3', 'item4', 'item5'.\\n    \\n    Returns:\\n    - dict: A dictionary containing the frequency of all combination.\\n\\n    Requirements:\\n    - pandas\\n    - collections\\n\\n    Example:\\n    >>> df = pd.DataFrame({'item1': ['a', 'b', 'a'], 'item2': ['b', 'c', 'b'], 'item3': ['c', 'd', 'c'], 'item4': ['d', 'e', 'd'], 'item5': ['e', 'f', 'e']})\\n    >>> task_func(df)\\n    {('a', 'b', 'c', 'd', 'e'): 2, ('b', 'c', 'd', 'e', 'f'): 1}\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Calculate the frequency of combinations of elements in a DataFrame. The function adds a 'combination' column to the DataFrame, which is the combination of items in each row. It then calculates the frequency of each combination.\\nThe function should output with:\\n    dict: A dictionary containing the frequency of all combination.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nfrom collections import Counter\\ndef task_func(df):\\n```\",\"libs\":\"['pandas', 'collections']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}