{"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":"02b9d279-2af2-5f73-a2f7-729885c6f24b","task_key":"default--v0~2e1~2e0~5fhf--02b9d279-2af2-5f73-a2f7-729885c6f24b","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 02b9d279-2af2-5f73-a2f7-729885c6f24b","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport time\\ndef task_func(df, letter):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport time\\n\\n\\ndef task_func(df, letter):\\n    \\\"\\\"\\\"\\n    The function filters rows in a dict of list in which the values of the 'Word' column begin with a specified letter.\\n    It first convert the dict to Datafrome, then calculates the length of the words in the filtered column and returns\\n    a dictionary of word lengths and their respective counts.\\n\\n    Parameters:\\n    df (dict of list): A dictionary where the key 'Word' maps to a list of strings.\\n    letter (str): The letter to filter the 'Word' column by. \\n\\n    Returns:\\n    dict: A dictionary of word lengths and their counts.\\n    \\n    Requirements:\\n    - pandas\\n    - time\\n\\n    Example:\\n    >>> df = {'Word': ['apple', 'banana', 'cherry', 'date', 'fig', 'grape', 'kiwi']}\\n    >>> task_func(df, 'a')\\n    {5: 1}\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"The function filters rows in a dict of list in which the values of the 'Word' column begin with a specified letter. It first convert the dict to Datafrome, then calculates the length of the words in the filtered column and returns a dictionary of word lengths and their respective counts.\\nThe function should output with:\\n    dict: A dictionary of word lengths and their counts.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport time\\ndef task_func(df, letter):\\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":[]}