{"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":"8fcb952c-2dbc-5ab5-a73b-cc60f03abe27","task_key":"default--v0~2e1~2e0~5fhf--8fcb952c-2dbc-5ab5-a73b-cc60f03abe27","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 8fcb952c-2dbc-5ab5-a73b-cc60f03abe27","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import json\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\nimport pandas as pd\\ndef task_func(json_data: str, key_path: list):\\n\",\"complete_prompt\":\"import json\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\nimport pandas as pd\\n\\n\\ndef task_func(json_data: str, key_path: list):\\n    \\\"\\\"\\\"\\n    Extracts and visualizes numerical data from a JSON structure based on a specified path of keys.\\n\\n    Parameters:\\n    json_data (str): JSON formatted string.\\n    key_path (list): List of strings representing the nested keys to locate the data within the JSON.\\n\\n    Returns:\\n    matplotlib.figure.Figure: A matplotlib figure showing a boxplot of the data values.\\n\\n    Raises:\\n    KeyError: If a specified key is not found.\\n    ValueError: If no numeric data is found, or the data string is empty or corrupted.\\n\\n    Requirements:\\n    - json\\n    - numpy\\n    - matplotlib\\n    - seaborn\\n    - pandas\\n\\n    Examples:\\n    >>> json_data = '{\\\"level1\\\":{\\\"level2\\\":{\\\"data\\\":\\\"1,2,3,4\\\"}}}'\\n    >>> key_path = ['level1', 'level2', 'data']\\n    >>> fig = task_func(json_data, key_path)\\n    >>> isinstance(fig, plt.Figure)\\n    True\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Extracts and visualizes numerical data from a JSON structure based on a specified path of keys.\\nThe function should raise the exception for: KeyError: If a specified key is not found. ValueError: If no numeric data is found, or the data string is empty or corrupted.\\nThe function should output with:\\n    matplotlib.figure.Figure: A matplotlib figure showing a boxplot of the data values.\\nYou should write self-contained code starting with:\\n```\\nimport json\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\nimport seaborn as sns\\nimport pandas as pd\\ndef task_func(json_data: str, key_path: list):\\n```\",\"libs\":\"['pandas', 'matplotlib', 'numpy', 'seaborn', 'json']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}