{"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":"18b8b9d2-05c7-5f2a-aef4-7b2aa262b07f","task_key":"default--v0~2e1~2e0~5fhf--18b8b9d2-05c7-5f2a-aef4-7b2aa262b07f","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 18b8b9d2-05c7-5f2a-aef4-7b2aa262b07f","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"from collections import Counter\\nimport pandas as pd\\ndef task_func(myList):\\n\",\"complete_prompt\":\"from collections import Counter\\nimport pandas as pd\\n\\n\\ndef task_func(myList):\\n    \\\"\\\"\\\"\\n    Count the frequency of each word in a list and return a DataFrame of words and their number.\\n\\n    Parameters:\\n    myList (list): List of strings. Each string is considered a word regardless of its content,\\n                                    however the function is case insensitive, and it removes\\n                                    leading and trailing whitespaces. If empty, function returns\\n                                    a DataFrame with a Count column that is otherwise empty.\\n\\n    Returns:\\n    DataFrame: A pandas DataFrame with words and their counts.\\n\\n    Requirements:\\n    - collections.Counter\\n    - pandas\\n\\n    Example:\\n    >>> myList = ['apple', 'banana', 'apple', 'cherry', 'banana', 'banana']\\n    >>> task_func(myList)\\n            Count\\n    apple       2\\n    banana      3\\n    cherry      1\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Count the frequency of each word in a list and return a DataFrame of words and their number.\\nThe function should output with:\\n    DataFrame: A pandas DataFrame with words and their counts.\\nYou should write self-contained code starting with:\\n```\\nfrom collections import Counter\\nimport pandas as pd\\ndef task_func(myList):\\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":[]}