{"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":"92aaf9a2-0dd0-56e2-ba99-f1221812018e","task_key":"default--v0~2e1~2e0~5fhf--92aaf9a2-0dd0-56e2-ba99-f1221812018e","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 92aaf9a2-0dd0-56e2-ba99-f1221812018e","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(csv_file_path: str):\\n\",\"complete_prompt\":\"import pandas as pd\\nimport matplotlib.pyplot as plt\\n\\n\\ndef task_func(csv_file_path: str):\\n    \\\"\\\"\\\"\\n    This function reads data from a CSV file, normalizes a specific column named 'column1', and then plots the normalized data.\\n\\n    - The title is created using Python's string formatting, aligning 'Plot Title' and 'Normalized Column 1' on either side of a \\n    colon, each padded to 20 characters.\\n    - Similarly, the x-label is formatted with 'Index' and 'Normalized Value' on either side of a colon, \\n    each padded to 20 characters.\\n    - The y-label is set in the same manner, with 'Frequency' and 'Normalized Value' on either side of a colon.\\n\\n    Parameters:\\n    - csv_file_path (str): Path to the CSV file. The file must contain a column named 'column1'.\\n\\n    Returns:\\n    - The matplotlib.axes.Axes object with the plot of the normalized data.\\n\\n    Requirements:\\n    - pandas\\n    - matplotlib\\n\\n    Example:\\n    >>> ax = task_func('data.csv')\\n    >>> ax.get_title()\\n    \\\"          Plot Title :  Normalized Column 1\\\"\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"This function reads data from a CSV file, normalizes a specific column named 'column1', and then plots the normalized data. - The title is created using Python's string formatting, aligning 'Plot Title' and 'Normalized Column 1' on either side of a colon, each padded to 20 characters. - Similarly, the x-label is formatted with 'Index' and 'Normalized Value' on either side of a colon, each padded to 20 characters. - The y-label is set in the same manner, with 'Frequency' and 'Normalized Value' on either side of a colon.\\nThe function should output with:\\n    The matplotlib.axes.Axes object with the plot of the normalized data.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\ndef task_func(csv_file_path: str):\\n```\",\"libs\":\"['pandas', 'matplotlib']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}