{"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":"f83d331a-078e-5494-9f36-a1943e589fdf","task_key":"default--v0~2e1~2e0~5fhf--f83d331a-078e-5494-9f36-a1943e589fdf","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf f83d331a-078e-5494-9f36-a1943e589fdf","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import ast\\nimport json\\nfrom collections import Counter\\ndef task_func(file_pointer):\\n\",\"complete_prompt\":\"import ast\\nimport json\\nfrom collections import Counter\\n\\n\\ndef task_func(file_pointer):\\n    \\\"\\\"\\\"\\n    Reads from a given file pointer to a JSON file, evaluates strings that represent dictionaries to actual dictionaries,\\n    and counts the frequency of each key across all dictionary entries in the JSON data.\\n\\n    \\n    Parameters:\\n    file_pointer (file object): An open file object pointing to the JSON file containing the data. This file should\\n                                already be opened in the correct mode (e.g., 'r' for reading).\\n\\n    Returns:\\n    collections.Counter: A Counter object representing the frequency of each key found in the dictionaries.\\n\\n    Requirements:\\n    - ast\\n    - json\\n    - collections.Counter\\n    \\n    Note:\\n    This function assumes the input JSON data is a list of dictionaries or strings that can be evaluated as dictionaries.\\n    \\n    Example:\\n    >>> with open(\\\"data.json\\\", \\\"r\\\") as file:\\n    >>>    key_frequency = task_func(file)\\n    >>>    print(key_frequency)\\n    Counter({'name': 5, 'age': 5, 'city': 3})\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Reads from a given file pointer to a JSON file, evaluates strings that represent dictionaries to actual dictionaries, and counts the frequency of each key across all dictionary entries in the JSON data.\\nNote that: This function assumes the input JSON data is a list of dictionaries or strings that can be evaluated as dictionaries.\\nThe function should output with:\\n    collections.Counter: A Counter object representing the frequency of each key found in the dictionaries.\\nYou should write self-contained code starting with:\\n```\\nimport ast\\nimport json\\nfrom collections import Counter\\ndef task_func(file_pointer):\\n```\",\"libs\":\"['ast', 'collections', 'json']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}