{"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":"f03322cc-6c16-5c51-8886-95ab17660436","task_key":"default--v0~2e1~2e0~5fhf--f03322cc-6c16-5c51-8886-95ab17660436","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf f03322cc-6c16-5c51-8886-95ab17660436","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import math\\nfrom random import randint\\nimport pandas as pd\\ndef task_func(cities_list):\\n\",\"complete_prompt\":\"import math\\nfrom random import randint\\nimport pandas as pd\\n\\n\\ndef task_func(cities_list):\\n    \\\"\\\"\\\"\\n    Generate a DataFrame with population data for a list of cities. The population is generated randomly \\n    and rounded up to the next thousand.\\n    \\n    Requirements:\\n    - pandas\\n    - math\\n    - random\\n\\n    Parameters:\\n    cities_list (list): A list of city names.\\n    \\n    Returns:\\n    DataFrame: A pandas DataFrame with columns 'City' and 'Population', containing population data for the cities.\\n\\n    Example:\\n    >>> cities = ['New York', 'London', 'Beijing', 'Tokyo', 'Sydney']\\n    >>> pop_data = task_func(cities)\\n    >>> type(pop_data)\\n    <class 'pandas.core.frame.DataFrame'>\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate a DataFrame with population data for a list of cities. The population is generated randomly and rounded up to the next thousand.\\nThe function should output with:\\n    DataFrame: A pandas DataFrame with columns 'City' and 'Population', containing population data for the cities.\\nYou should write self-contained code starting with:\\n```\\nimport math\\nfrom random import randint\\nimport pandas as pd\\ndef task_func(cities_list):\\n```\",\"libs\":\"['math', '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":[]}