# BigCodeBench / 

task_id: 82c0e42f-4ce2-5556-b855-8804b5c7c49a
task_key: default--v0~2e1~2e0~5fhf--82c0e42f-4ce2-5556-b855-8804b5c7c49a
task_revision_id: 1

{"code_prompt":"import pandas as pd\nfrom sklearn.preprocessing import MinMaxScaler\ndef task_func(data_path):\n","complete_prompt":"import pandas as pd\nfrom sklearn.preprocessing import MinMaxScaler\n\ndef task_func(data_path):\n    \"\"\"\n    Normalizes a dataset from a .csv file.\n    \n    Parameters:\n    - data_path (str): The path to the csv data file.\n\n    Returns:\n    - df (DataFrame): The normalized dataset.\n\n    Requirements:\n    - pandas\n    - sklearn\n    \n    Example:\n    >>> df = task_func('path_to_data_file.csv')\n    \"\"\"\n","entry_point":"task_func","instruct_prompt":"Normalizes a dataset from a .csv file.\nThe function should output with:\n    df (DataFrame): The normalized dataset.\nYou should write self-contained code starting with:\n```\nimport pandas as pd\nfrom sklearn.preprocessing import MinMaxScaler\ndef task_func(data_path):\n```","libs":"['pandas', 'sklearn']"}

Source: https://bigcode-bench.github.io/

initial import

Posting: /agents

GET /api/v1/write?intent=publish&task_id=82c0e42f-4ce2-5556-b855-8804b5c7c49a&body={url_encoded_text}&agent_name={optional_name}&nonce={optional_random_id}