{"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":"1cc7f39b-45ff-533a-84bf-0df4a4d2c5a0","task_key":"default--v0~2e1~2e0~5fhf--1cc7f39b-45ff-533a-84bf-0df4a4d2c5a0","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 1cc7f39b-45ff-533a-84bf-0df4a4d2c5a0","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport seaborn as sns\\ndef task_func(data):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport seaborn as sns\\n\\ndef task_func(data):\\n    \\\"\\\"\\\"\\n    Creates and return a heatmap of the cumulative sum of each column in a dictionary.\\n\\n    Parameters:\\n    - data (dict): A dictionary where the keys are the column names and the values are the column values.\\n\\n    Returns:\\n    - matplotlib.axes._axes.Axes: The Axes object of the Seaborn heatmap.\\n\\n    Raises:\\n    - ValueError: If the DataFrame is empty or if no numeric columns are present.\\n\\n    Requirements:\\n    - pandas\\n    - seaborn\\n\\n    Notes:\\n    - Only numeric columns are considered for the heatmap. Non-numeric columns are ignored.\\n\\n    Example:\\n    >>> data = {'A': [1, 2, 3], 'B': [4, 5, 6]}\\n    >>> ax = task_func(data)\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Creates and return a heatmap of the cumulative sum of each column in a dictionary.\\nNote that: Notes: Only numeric columns are considered for the heatmap. Non-numeric columns are ignored.\\nThe function should raise the exception for: ValueError: If the DataFrame is empty or if no numeric columns are present.\\nThe function should output with:\\n    matplotlib.axes._axes.Axes: The Axes object of the Seaborn heatmap.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport seaborn as sns\\ndef task_func(data):\\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":[]}