Load single experiment file with solutions for template experiment.

Load a partial dataset. Args: dataset (Dataset): A :obj:`datasets.Dataset` instance. size (int or float or (int, int), optional):

Loads query instances from a JSON file. Args: path (str or Path): The path to the JSON file. Returns: list: A list of query

Loads a vocabulary file into a dictionary.

Main function supporting target step specification

Main function supporting target step specification

Transform the dataset into one that is compatible with CircularEval. In CircularEval, the original multiple-choice questions with options

Apply f to each element of xs, using a ThreadPool, and show progress.

Modify the generate method to accept and return single item.

Validate the MSP solution. Parameters: - instance: The MSP instance as a dictionary. - solution: A dictionary with meeting id

(默认 expression1 为 Ground_Truth) 函数: 判读两个数值是否在误差允许范围内相等 步骤1: 将可能出现的百分号的情况包含进来 步骤2: 使用 math.isclose 函数判断是否相等.

Order predictions based on args and recording regrading references. Args: predictions (List): List of multi model predictions. re

Postprocess output by adding necessary statistics or data into it.

Postprocess output by adding necessary statistics or data into it.

Parse a Python assert statement and extract the expected output from the right side of the '==' operator as a string. :param statement: A str

Parse constraints in format: 'position:word, position:word, ...

These args are all for the quick construction of custom datasets.

These args are all for dlc launch.

starter_code : str

Improved parser that handles math symbols and spaces correctly

Improved parser that handles math symbols and spaces correctly

These args are all for the quick construction of HuggingFace models.

Parse information from a line in a requirements text file.

These args are all for slurm launch.

Return a dictionary whose keys are from input template and value is responding content from input_string. Args: template (str): Forma