{"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":"e1a4b8b8-d20a-5e69-93cb-001940c609ba","task_key":"default--v0~2e1~2e0~5fhf--e1a4b8b8-d20a-5e69-93cb-001940c609ba","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf e1a4b8b8-d20a-5e69-93cb-001940c609ba","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nfrom random import randint\\ndef task_func(name: str, age: int, code: str, salary: float, bio: str) -> pd.DataFrame:\\n\",\"complete_prompt\":\"import pandas as pd\\nfrom random import randint\\n\\n\\ndef task_func(name: str, age: int, code: str, salary: float, bio: str) -> pd.DataFrame:\\n    \\\"\\\"\\\"\\n    Generate a Pandas DataFrame of employees with their details based on the input provided.\\n\\n    Parameters:\\n    - name (str): Name of the employee. This is case-sensitive. Must be one of the predefined\\n                  names: 'John', 'Alice', 'Bob', 'Charlie', 'David', otherwise the function raises\\n                  ValueError.\\n    - age (int): Age of the employee.\\n    - code (str): Code of the employee.\\n    - salary (float): Salary of the employee.\\n    - bio (str): Biography of the employee.\\n\\n    Returns:\\n    data_df (pd.DataFrame): dataframe with columns: 'Name', 'Age', 'Code', 'Salary', 'Bio', 'Job Title'.\\n               The 'Job Title' is randomly assigned from the predefined job titles:\\n               'Engineer', 'Manager', 'Analyst', 'Developer', 'Tester'.\\n\\n    Requirements:\\n    - pandas\\n    - random.randint\\n\\n    Example:\\n    >>> random.seed(0)\\n    >>> df = task_func(\\\"John\\\", 30, \\\"A10B\\\", 5000.0, \\\"This is a bio with spaces\\\")\\n    >>> print(df)\\n       Name  Age  Code  Salary                        Bio  Job Title\\n    0  John   30  A10B  5000.0  This is a bio with spaces  Developer\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Generate a Pandas DataFrame of employees with their details based on the input provided.\\nThe function should output with:\\n    data_df (pd.DataFrame): dataframe with columns: 'Name', 'Age', 'Code', 'Salary', 'Bio', 'Job Title'.\\n    The 'Job Title' is randomly assigned from the predefined job titles:\\n    'Engineer', 'Manager', 'Analyst', 'Developer', 'Tester'.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nfrom random import randint\\ndef task_func(name: str, age: int, code: str, salary: float, bio: str) -> pd.DataFrame:\\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":[]}