{"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":"9b099199-f618-5bf7-9e4e-ddcc92a336cc","task_key":"default--v0~2e1~2e0~5fhf--9b099199-f618-5bf7-9e4e-ddcc92a336cc","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 9b099199-f618-5bf7-9e4e-ddcc92a336cc","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nfrom itertools import combinations\\n# Constants\\nMIN_PERCENTAGE = 0.75\\ndef task_func(data, cols, percentage):\\n\",\"complete_prompt\":\"import pandas as pd\\nfrom itertools import combinations\\n\\n# Constants\\nMIN_PERCENTAGE = 0.75\\n\\ndef task_func(data, cols, percentage):\\n    \\\"\\\"\\\"\\n    Find all combinations of columns from a given DataFrame so that the absolute correlation between them is greater than a certain threshold.\\n\\n    Parameters:\\n    - data (list): List of lists with the data, where the length of the inner list equals the number of columns\\n    - cols (list): List of column names\\n    - percentage (float): The threshold for the absolute correlation.\\n\\n    Returns:\\n    - corr_combinations (list): A list of tuples where each tuple contains two column names.\\n\\n    Requirements:\\n    - pandas\\n    - itertools\\n\\n    Example:\\n    >>> result = task_func([[5.1, 5.0, 1.4], [4.9, 4.8, 1.4], [4.7, 4.6, 2.0]], ['x', 'y', 'z'], 0.9)\\n    >>> print(result)\\n    [('x', 'y')]\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Find all combinations of columns from a given DataFrame so that the absolute correlation between them is greater than a certain threshold.\\nThe function should output with:\\n    corr_combinations (list): A list of tuples where each tuple contains two column names.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nfrom itertools import combinations\\n# Constants\\nMIN_PERCENTAGE = 0.75\\ndef task_func(data, cols, percentage):\\n```\",\"libs\":\"['pandas', 'itertools']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}