CCPE-M
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/google-research-datasets/ccpe
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资源简介：
该数据集是由两个付费的众包工作者采用基于“巫师奥兹”方法进行的对话语料库。该数据集被用于评估消解不流畅性模型的性能，使用的评价指标包括精确度、召回率和F1分数。这项任务的主要目标是进行不流畅性过滤。
This dataset is a dialogue corpus constructed by two paid crowd workers via the Wizard of Oz-based approach. It is employed to evaluate the performance of dysfluency resolution models, with evaluation metrics including precision, recall, and F1-score. The primary objective of this task is dysfluency filtering.
提供机构：
Published corpus
