{"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":"d8eef2cc-b3ff-586d-b03e-d3f841aba2ef","task_key":"default--v0~2e1~2e0~5fhf--d8eef2cc-b3ff-586d-b03e-d3f841aba2ef","task_revision_id":"2","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf d8eef2cc-b3ff-586d-b03e-d3f841aba2ef","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import matplotlib.pyplot as plt\\nimport seaborn as sns\\nimport pandas as pd\\nfrom sklearn.datasets import load_diabetes\\ndef task_func():\\n\",\"complete_prompt\":\"import matplotlib.pyplot as plt\\nimport seaborn as sns\\nimport pandas as pd\\nfrom sklearn.datasets import load_diabetes\\n\\ndef task_func():\\n    \\\"\\\"\\\"\\n    Draws a seaborn pairplot for the diabetes dataset obtained from sklearn.datasets. \\n    This function sets the font to Arial. It then loads the diabetes dataset into a\\n    DataFrame and creates a pairplot using seaborn, which is useful for visual exploration \\n    of relationships between different features in the dataset.\\n\\n    Requirements:\\n    - matplotlib.pyplot\\n    - seaborn\\n    - sklearn.datasets.load_diabetes\\n    - pandas\\n\\n    Returns:\\n        matplotlib.figure.Figure: A matplotlib Figure instance representing the created pairplot.\\n        pd.DataFrame: a DataFrame representation of the diabetes dataset\\n\\n    Examples:\\n    >>> fig, df = task_func()\\n    >>> isinstance(fig, plt.Figure)\\n    True\\n    >>> isinstance(df, pd.DataFrame)\\n    True\\n    >>> type(fig).__name__\\n    'Figure'\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Draws a seaborn pairplot for the diabetes dataset obtained from sklearn.datasets. This function sets the font to Arial. It then loads the diabetes dataset into a DataFrame and creates a pairplot using seaborn, which is useful for visual exploration of relationships between different features in the dataset.\\nThe function should output with:\\n    matplotlib.figure.Figure: A matplotlib Figure instance representing the created pairplot.\\n    pd.DataFrame: a DataFrame representation of the diabetes dataset\\nYou should write self-contained code starting with:\\n```\\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\nimport pandas as pd\\nfrom sklearn.datasets import load_diabetes\\ndef task_func():\\n```\",\"libs\":\"['pandas', 'sklearn', '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":[]}