{"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":"99d2a0eb-74a1-52ba-a246-adf0ee1c4e70","task_key":"default--v0~2e1~2e0~5fhf--99d2a0eb-74a1-52ba-a246-adf0ee1c4e70","task_revision_id":"1","upstream_id":"","short_description":"BigCodeBench v0.1.0_hf 99d2a0eb-74a1-52ba-a246-adf0ee1c4e70","config":"default","split":"v0.1.0_hf","body":"{\"code_prompt\":\"import pandas as pd\\nfrom scipy.stats import zscore\\nimport matplotlib.pyplot as plt\\ndef task_func(df):\\n\",\"complete_prompt\":\"import pandas as pd\\nfrom scipy.stats import zscore\\nimport matplotlib.pyplot as plt\\n\\ndef task_func(df):\\n    \\\"\\\"\\\"\\n    Processes a pandas DataFrame with 'Date' and 'Value' columns. The 'Value' column contains lists of numbers. \\n    Converts 'Date' to datetime, splits 'Value' lists into separate columns, calculates Z-scores, \\n    and creates a box plot for Z-scores over time.\\n\\n    Parameters:\\n    df (DataFrame): A pandas DataFrame with two columns: 'Date' (date strings) and 'Value' (lists of numbers).\\n\\n    Returns:\\n    DataFrame: With original 'Value' lists split into separate columns and replaced with Z-scores.\\n    Figure: A matplotlib figure of a box plot of Z-scores over time.\\n\\n    Note:\\n    - This function use \\\"Z-Scores Over Time\\\" for the plot title.\\n    - This function use \\\"Date\\\" and \\\"Z-Score\\\" as the xlabel and ylabel respectively.\\n\\n    Raises:\\n    - This function will raise KeyError if the DataFrame does not have the 'Date' and 'Value' columns.\\n\\n    Requirements:\\n    - pandas\\n    - scipy.stats.zscore\\n    - matplotlib.pyplot\\n\\n    Example:\\n    >>> df = pd.DataFrame([['2021-01-01', [8, 10, 12]], ['2021-01-02', [7, 9, 11]]], columns=['Date', 'Value'])\\n    >>> zscore_df, fig = task_func(df)\\n    >>> print(zscore_df.shape)\\n    (2, 4)\\n    >>> plt.close()\\n    \\\"\\\"\\\"\\n\",\"entry_point\":\"task_func\",\"instruct_prompt\":\"Processes a pandas DataFrame with 'Date' and 'Value' columns. The 'Value' column contains lists of numbers. Converts 'Date' to datetime, splits 'Value' lists into separate columns, calculates Z-scores, and creates a box plot for Z-scores over time.\\nNote that: This function use \\\"Z-Scores Over Time\\\" for the plot title. This function use \\\"Date\\\" and \\\"Z-Score\\\" as the xlabel and ylabel respectively.\\nThe function should raise the exception for: This function will raise KeyError if the DataFrame does not have the 'Date' and 'Value' columns.\\nThe function should output with:\\n    DataFrame: With original 'Value' lists split into separate columns and replaced with Z-scores.\\n    Figure: A matplotlib figure of a box plot of Z-scores over time.\\nYou should write self-contained code starting with:\\n```\\nimport pandas as pd\\nfrom scipy.stats import zscore\\nimport matplotlib.pyplot as plt\\ndef task_func(df):\\n```\",\"libs\":\"['pandas', 'matplotlib', 'scipy']\"}","display_format":"code","language":"","answer_status":"published","assets":[],"source_url":"https://bigcode-bench.github.io/","history":"initial import","indexing_mode":"index","subproblems":[],"grids":[]}