{"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":"15f9bffd-7af7-53b3-bc3a-01a76125b615","task_key":"default--v0~2e1~2e0~5fhf--15f9bffd-7af7-53b3-bc3a-01a76125b615","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 15f9bffd-7af7-53b3-bc3a-01a76125b615","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport random\\ndef task_func(product_list, categories, min_value = 10, max_value = 100):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport random\\n\\n\\ndef task_func(product_list, categories, min_value = 10, max_value = 100):\\n    \\\"\\\"\\\"\\n    Create a sales report for a list of products in different categories.\\n    The report includes the quantity sold, revenue for 1 product, and total revenue generated for each product.\\n    \\n    Parameters:\\n    product_list (list): The list of products.\\n    categories (list): A list of categories for the products.\\n    min_value (int): The minimum value for quantity sold and revenue.\\n    max_value (int): The maximum value for quantity sold and revenue.\\n    \\n    Returns:\\n    DataFrame: A pandas DataFrame with sales data for the products.\\n    \\n    Note:\\n    - The column names uses are 'Product', 'Category', 'Quantity Sold', 'Revenue' , and 'Total Revenue'.\\n\\n    Requirements:\\n    - pandas\\n    - random\\n    \\n    Example:\\n    >>> random.seed(0)\\n    >>> report = task_func(['Product 1'], ['Electronics', 'Fashion', 'Home', 'Beauty', 'Sports'], 100, 100)\\n    >>> report.iloc[0]['Category'] in ['Electronics', 'Fashion', 'Home', 'Beauty', 'Sports']\\n    True\\n    >>> report.iloc[0]['Quantity Sold']\\n    100\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Create a sales report for a list of products in different categories. The report includes the quantity sold, revenue for 1 product, and total revenue generated for each product.\\nNote that: The column names uses are 'Product', 'Category', 'Quantity Sold', 'Revenue' , and 'Total Revenue'.\\nThe function should output with:\\n    DataFrame: A pandas DataFrame with sales data for the products.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport random\\ndef task_func(product_list, categories, min_value = 10, max_value = 100):\\n```\",\"libs\":\"['pandas', 'random']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}