{"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":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"d3b90dba-5088-5eb4-8d91-4c1cc1b30fbd","task_key":"default--v0~2e1~2e0~5fhf--d3b90dba-5088-5eb4-8d91-4c1cc1b30fbd","task_revision_id":"2","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf d3b90dba-5088-5eb4-8d91-4c1cc1b30fbd","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\ndef task_func(csv_file_path: str, title: str):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\n\\ndef task_func(csv_file_path: str, title: str):\\n    \\\"\\\"\\\"\\n    Create a heatmap of the correlation matrix of a DataFrame built from a CSV file. Round each correlation to 2 decimals.\\n\\n    Parameters:\\n    csv_file_path (str): The path to the CSV file containing the input data.\\n    title (str): The title of the heatmap.\\n\\n    Returns:\\n    DataFrame: correlation dataframe where each row and each column correspond to a specific column.\\n    matplotlib.axes.Axes: The Axes object of the plotted data.\\n\\n    Requirements:\\n    - pandas\\n    - matplotlib.pyplot\\n    - seaborn\\n\\n    Example:\\n    >>> data = \\\"data/task_func/csv_1.csv\\\"\\n    >>> c, ax = task_func(data, 'Correlation Heatmap')\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Create a heatmap of the correlation matrix of a DataFrame built from a CSV file. Round each correlation to 2 decimals.\\nThe function should output with:\\n    DataFrame: correlation dataframe where each row and each column correspond to a specific column.\\n    matplotlib.axes.Axes: The Axes object of the plotted data.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\ndef task_func(csv_file_path: str, title: str):\\n```\",\"libs\":\"['pandas', 'matplotlib', 'seaborn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}