{"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":"65be64bb-1e9c-5cbe-8ac0-9a86dd294a99","task_key":"default--v0~2e1~2e0~5fhf--65be64bb-1e9c-5cbe-8ac0-9a86dd294a99","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 65be64bb-1e9c-5cbe-8ac0-9a86dd294a99","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nfrom sklearn.preprocessing import LabelEncoder\\ndef task_func(file_path: str, column_name: str) -> pd.DataFrame:\\n\",\"complete_prompt\":\"import pandas as pd\\nfrom sklearn.preprocessing import LabelEncoder\\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 encode the specified column as a categorical variable using LabelEncoder from sklearn.\\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 '\\\\n' and to encode.\\n    \\n    Returns:\\n    pd.DataFrame: The updated and encoded Pandas DataFrame.\\n    \\n    Requirements:\\n    - pandas\\n    - sklearn.preprocessing.LabelEncoder\\n    \\n    Example:\\n    >>> df = task_func('data.csv', 'Category')\\n    >>> print(df.head())\\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 encode the specified column as a categorical variable using LabelEncoder from sklearn.\\nThe function should output with:\\n    pd.DataFrame: The updated and encoded Pandas DataFrame.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nfrom sklearn.preprocessing import LabelEncoder\\ndef task_func(file_path: str, column_name: str) -> pd.DataFrame:\\n```\",\"libs\":\"['pandas', 'sklearn']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}