{"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":"a9130596-70ac-596d-a9fa-07be6e3e3b79","task_key":"default--v0~2e1~2e0~5fhf--a9130596-70ac-596d-a9fa-07be6e3e3b79","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf a9130596-70ac-596d-a9fa-07be6e3e3b79","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport numpy as np\\ndef task_func(data_size=1000, column_names=['A', 'B', 'C', 'D', 'E'], seed=0):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport numpy as np\\n\\ndef task_func(data_size=1000, column_names=['A', 'B', 'C', 'D', 'E'], seed=0):\\n    \\\"\\\"\\\"\\n    Generate a Pandas DataFrame with random numeric values between 1 and 100, inclusive, and replace all occurrences of values less than 10 with -1.\\n    \\n    Requirements:\\n    - pandas\\n    - numpy\\n    \\n    Parameters:\\n    - data_size (int, optional): The number of rows in the DataFrame. Defaults to 1000.\\n    - column_names (list of str, optional): Names of the DataFrame columns. Defaults to ['A', 'B', 'C', 'D', 'E'].\\n\\n    Returns:\\n    - DataFrame: The modified Pandas DataFrame.\\n    \\n    Examples:\\n    >>> df = task_func(data_size=100, column_names=['X', 'Y', 'Z'], seed=42)\\n    >>> df.shape\\n    (100, 3)\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate a Pandas DataFrame with random numeric values between 1 and 100, inclusive, and replace all occurrences of values less than 10 with -1.\\nThe function should output with:\\n    DataFrame: The modified Pandas DataFrame.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport numpy as np\\ndef task_func(data_size=1000, column_names=['A', 'B', 'C', 'D', 'E'], seed=0):\\n```\",\"libs\":\"['pandas', 'numpy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}