{"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":"61bdd552-dd33-523d-9a49-dd792a92ad09","task_key":"default--v0~2e1~2e0~5fhf--61bdd552-dd33-523d-9a49-dd792a92ad09","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 61bdd552-dd33-523d-9a49-dd792a92ad09","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import numpy as np\\nimport pandas as pd\\nimport seaborn as sns\\nimport matplotlib.pyplot as plt\\n# Constants defining the range of random integers and the size of the DataFrame\\nRANGE = 100\\nSIZE = 1000\\ndef task_func():\\n\",\"complete_prompt\":\"import numpy as np\\nimport pandas as pd\\nimport seaborn as sns\\nimport matplotlib.pyplot as plt\\n\\n# Constants defining the range of random integers and the size of the DataFrame\\nRANGE = 100\\nSIZE = 1000\\n\\n\\ndef task_func():\\n    \\\"\\\"\\\"\\n    Generates a DataFrame with two columns, 'X' and 'Y', each filled with random integers within a specified range,\\n    and plots these points using a scatter plot. The visualization is created using Seaborn on top of Matplotlib.\\n\\n    The function is designed to be parameter-free for simplicity, utilizing constants for configuration.\\n\\n    Returns:\\n        pd.DataFrame: A DataFrame with 'X' and 'Y' columns containing the generated random integers.\\n\\n    Requirements:\\n        - numpy\\n        - pandas\\n        - seaborn\\n        - matplotlib.pyplot\\n\\n    No Parameters.\\n\\n    Example:\\n        >>> df = task_func()\\n        >>> isinstance(df, pd.DataFrame)\\n        True\\n        >>> 'X' in df.columns and 'Y' in df.columns\\n        True\\n        >>> len(df)\\n        1000\\n        >>> all(df['X'].between(0, RANGE - 1)) and all(df['Y'].between(0, RANGE - 1))\\n        True\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generates a DataFrame with two columns, 'X' and 'Y', each filled with random integers within a specified range, and plots these points using a scatter plot. The visualization is created using Seaborn on top of Matplotlib. The function is designed to be parameter-free for simplicity, utilizing constants for configuration. No Parameters.\\nThe function should output with:\\n    pd.DataFrame: A DataFrame with 'X' and 'Y' columns containing the generated random integers.\\nYou should write self-contained code starting with:\\n```\\nimport numpy as np\\nimport pandas as pd\\nimport seaborn as sns\\nimport matplotlib.pyplot as plt\\n# Constants defining the range of random integers and the size of the DataFrame\\nRANGE = 100\\nSIZE = 1000\\ndef task_func():\\n```\",\"libs\":\"['pandas', 'numpy', 'matplotlib', 'seaborn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}