{"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":"c7eab383-158f-59f5-83b6-d2ba8e73a2dd","task_key":"default--v0~2e1~2e0~5fhf--c7eab383-158f-59f5-83b6-d2ba8e73a2dd","task_revision_id":"2","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf c7eab383-158f-59f5-83b6-d2ba8e73a2dd","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nfrom sklearn.preprocessing import LabelEncoder\\ndef task_func(df: pd.DataFrame, column_name: str) -> pd.DataFrame:\\n\",\"complete_prompt\":\"import pandas as pd\\nfrom sklearn.preprocessing import LabelEncoder\\n\\n\\ndef task_func(df: pd.DataFrame, column_name: str) -> pd.DataFrame:\\n    \\\"\\\"\\\"\\n    Encrypt the categorical data in a specific column of a DataFrame using LabelEncoder.\\n\\n    Parameters:\\n    df (pd.DataFrame): The DataFrame that contains the data.\\n    column_name (str): The name of the column to encode.\\n\\n    Returns:\\n    pd.DataFrame: The DataFrame with the encoded column.\\n\\n    Requirements:\\n    - pandas\\n    - sklearn\\n\\n    Example:\\n    >>> df = pd.DataFrame({'fruit': ['apple', 'banana', 'cherry', 'apple', 'banana']})\\n    >>> encoded_df = task_func(df, 'fruit')\\n    >>> encoded_df['fruit'].tolist()\\n    [0, 1, 2, 0, 1]\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Encrypt the categorical data in a specific column of a DataFrame using LabelEncoder.\\nThe function should output with:\\n    pd.DataFrame: The DataFrame with the encoded column.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nfrom sklearn.preprocessing import LabelEncoder\\ndef task_func(df: pd.DataFrame, 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":"noindex","subproblems":[],"grids":[]}