{"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":"cf310527-add5-5e96-898d-2d8af1b30133","task_key":"default--v0~2e1~2e0~5fhf--cf310527-add5-5e96-898d-2d8af1b30133","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf cf310527-add5-5e96-898d-2d8af1b30133","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport os\\nimport sys\\ndef task_func(file_path: str, column_name: str) -> pd.DataFrame:\\n\",\"complete_prompt\":\"import pandas as pd\\nimport os\\nimport sys\\n\\ndef task_func(file_path: str, column_name: str) -> pd.DataFrame:\\n    \\\"\\\"\\\"\\n    Load a CSV file into a Pandas DataFrame, replace all occurrences of the string '\\\\n' with the string '<br>'\\n    in the specified column, and return the cleaned DataFrame.\\n    \\n    Parameters:\\n    - file_path (str): The path to the CSV file to be read.\\n    - column_name (str): The name of the column in which to replace occurrences of '\\\\n' with '<br>'.\\n    \\n    Returns:\\n    - pd.DataFrame: The cleaned Pandas DataFrame.\\n    \\n    Requirements:\\n    - pandas\\n    - os\\n    - sys\\n    \\n    Examples:\\n    >>> df = task_func('data.csv', 'Value')\\n    >>> print(df['Value'].iloc[0])\\n    \\\"some<br>text\\\"\\n    >>> df = task_func('another_data.csv', 'Comments')\\n    >>> print(df['Comments'].iloc[1])\\n    \\\"hello<br>world\\\"\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Load a CSV file into a Pandas DataFrame, replace all occurrences of the string '\\\\n' with the string '<br>' in the specified column, and return the cleaned DataFrame.\\nThe function should output with:\\n    pd.DataFrame: The cleaned Pandas DataFrame.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport os\\nimport sys\\ndef task_func(file_path: str, column_name: str) -> pd.DataFrame:\\n```\",\"libs\":\"['pandas', 'os', 'sys']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}