{"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":"71e2cc5d-1013-5451-b3a6-ae89d0e5daed","task_key":"default--v0~2e1~2e0~5fhf--71e2cc5d-1013-5451-b3a6-ae89d0e5daed","task_revision_id":"2","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 71e2cc5d-1013-5451-b3a6-ae89d0e5daed","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nimport pandas as pd\\ndef task_func(students=[\\\"Alice\\\", \\\"Bob\\\", \\\"Charlie\\\", \\\"David\\\", \\\"Eve\\\"], seed=42):\\n\",\"complete_prompt\":\"import numpy as np\\nimport pandas as pd\\n\\ndef task_func(students=[\\\"Alice\\\", \\\"Bob\\\", \\\"Charlie\\\", \\\"David\\\", \\\"Eve\\\"], seed=42):\\n    \\\"\\\"\\\"\\n    Generate random scores for a given list of students, sort these scores in ascending order,\\n    and return both the scores and a bar plot of these scores.\\n\\n    Parameters:\\n    students (list of str): List of student names.\\n    seed (int): Seed for the random number generator. Default is 42.\\n\\n    Returns:\\n    DataFrame: A pandas DataFrame with columns 'Student' and 'Score', sorted by 'Score'.\\n    Axes: A matplotlib Axes object containing the bar plot of scores.\\n\\n    use np.random.randint(0, 100) to generate the scores of the students\\n\\n    Requirements:\\n    - numpy\\n    - pandas\\n\\n    Example:\\n    >>> scores, plot = task_func()\\n    >>> print(scores)\\n       Student  Score\\n    2  Charlie     14\\n    0    Alice     51\\n    4      Eve     60\\n    3    David     71\\n    1      Bob     92\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate random scores for a given list of students, sort these scores in ascending order, and return both the scores and a bar plot of these scores. use np.random.randint(0, 100) to generate the scores of the students\\nThe function should output with:\\n    DataFrame: A pandas DataFrame with columns 'Student' and 'Score', sorted by 'Score'.\\n    Axes: A matplotlib Axes object containing the bar plot of scores.\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nimport pandas as pd\\ndef task_func(students=[\\\"Alice\\\", \\\"Bob\\\", \\\"Charlie\\\", \\\"David\\\", \\\"Eve\\\"], seed=42):\\n```\",\"libs\":\"['pandas', 'numpy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}