{"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":"7243f58b-9300-584a-9746-d67f875288ed","task_key":"default--v0~2e1~2e0~5fhf--7243f58b-9300-584a-9746-d67f875288ed","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 7243f58b-9300-584a-9746-d67f875288ed","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport seaborn as sns\\ndef task_func(array):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport seaborn as sns\\n\\n\\ndef task_func(array):\\n    \\\"\\\"\\\"Generates a DataFrame and heatmap from a 2D list.\\n\\n    This function takes a 2D list and returns a pandas DataFrame and a seaborn heatmap\\n    representing the correlation matrix of the DataFrame. Assumes sublists of length 5.\\n    Also assumes DataFrame columns: 'A', 'B', 'C', 'D', 'E'.\\n\\n    Parameters:\\n    - array (list of list of int): 2D list with sublists of length 5. Must not be empty.\\n\\n    Returns:\\n    - DataFrame: Constructed from the input 2D list.\\n    - heatmap: Seaborn heatmap of the DataFrame's correlation matrix.\\n\\n    Requirements:\\n    - pandas\\n    - seaborn\\n\\n    Raises:\\n    - ValueError: If the input array is empty or contains sublists of varying lengths.\\n    \\n    Example:\\n    >>> df, ax = task_func([[1, 2, 3, 4, 5], [5, 4, 3, 2, 1]])\\n    >>> df\\n       A  B  C  D  E\\n    0  1  2  3  4  5\\n    1  5  4  3  2  1\\n    >>> ax\\n    <Axes: >\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generates a DataFrame and heatmap from a 2D list. This function takes a 2D list and returns a pandas DataFrame and a seaborn heatmap representing the correlation matrix of the DataFrame. Assumes sublists of length 5. Also assumes DataFrame columns: 'A', 'B', 'C', 'D', 'E'.\\nThe function should raise the exception for: ValueError: If the input array is empty or contains sublists of varying lengths.\\nThe function should output with:\\n    DataFrame: Constructed from the input 2D list.\\n    heatmap: Seaborn heatmap of the DataFrame's correlation matrix.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport seaborn as sns\\ndef task_func(array):\\n```\",\"libs\":\"['pandas', 'seaborn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}