{"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":"57c37be6-7565-5cae-8062-8b14ed4e8950","task_key":"default--v0~2e1~2e0~5fhf--57c37be6-7565-5cae-8062-8b14ed4e8950","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 57c37be6-7565-5cae-8062-8b14ed4e8950","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport random\\nimport re\\ndef task_func(data_list, seed=None):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport random\\nimport re\\n\\n\\ndef task_func(data_list, seed=None):\\n    \\\"\\\"\\\"\\n    Apply a random operation (remove, replace, shuffle, or randomize) to substrings in a list of strings.\\n\\n    This function processes a list of comma-separated strings by applying one of four random operations to\\n    their substrings: remove, replace, shuffle, or randomize. Here, a substring refers to the individual\\n    items in the string that are separated by commas, sensitive to leading/trailing whitespace, i.e.\\n    'apple' != 'apple ', and sensitive to case, i.e. 'APPLE' != 'aPPLE'.\\n\\n    The choice of operation and the substrings it affects are determined randomly. The operations are:\\n    - Remove: Randomly selects and removes a substring.\\n              If a string contains only one substring, no 'remove' operation is applied.\\n    - Replace: Randomly selects a substring and replaces it with 'random_string'.\\n    - Shuffle: Randomly shuffles the order of the substrings.\\n    - Randomize: Assigns a new, random order to the substrings.\\n\\n    Finally, the function returns a DataFrame with column 'Original String' containing the input strings\\n    and the 'Modified String' column containing the strings after applying the random operation.\\n\\n    Parameters:\\n    - data_list (list): The list of strings. If empty, function will return a DataFrame with the expected\\n                        columns that is otherwise empty.\\n    - seed (int, optional): A seed for the random operations to ensure reproducibility. Default is None.\\n\\n    Returns:\\n    df (pd.DataFrame): DataFrame containing original and modified strings.\\n\\n    Requirements:\\n    - pandas\\n    - random\\n    - re\\n\\n    Example:\\n    >>> task_func(['lamp, bag, mirror', 'table, chair, bag, lamp'], seed=0)\\n               Original String          Modified String\\n    0        lamp, bag, mirror        bag, lamp, mirror\\n    1  table, chair, bag, lamp  lamp, chair, bag, table\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Apply a random operation (remove, replace, shuffle, or randomize) to substrings in a list of strings. This function processes a list of comma-separated strings by applying one of four random operations to their substrings: remove, replace, shuffle, or randomize. Here, a substring refers to the individual items in the string that are separated by commas, sensitive to leading/trailing whitespace, i.e. 'apple' != 'apple ', and sensitive to case, i.e. 'APPLE' != 'aPPLE'. The choice of operation and the substrings it affects are determined randomly. The operations are: - Remove: Randomly selects and removes a substring. If a string contains only one substring, no 'remove' operation is applied. - Replace: Randomly selects a substring and replaces it with 'random_string'. - Shuffle: Randomly shuffles the order of the substrings. - Randomize: Assigns a new, random order to the substrings. Finally, the function returns a DataFrame with column 'Original String' containing the input strings and the 'Modified String' column containing the strings after applying the random operation.\\nThe function should output with:\\n    df (pd.DataFrame): DataFrame containing original and modified strings.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport random\\nimport re\\ndef task_func(data_list, seed=None):\\n```\",\"libs\":\"['pandas', 'random', 're']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}