five

EXT dataset

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arXiv2025-09-30 收录
下载链接:
https://github.com/ymcui/Chinese-BERT-wwm
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资源简介:
该数据集是用于训练和评估中文语言模型的,其内容涵盖了广泛的主题,包括数学、历史和社会等多个领域。该数据集规模宏大,共有200万个实例用于微调。此外,该数据集的任务还包括对汉字拼音缩写转换为字符的模型进行训练和评估。

This dataset is designed for training and evaluating Chinese language models. It covers a wide range of topics including mathematics, history, social sciences and other fields. The dataset has a large scale, with 2 million instances dedicated to fine-tuning. Additionally, the tasks encompassed by this dataset also involve training and evaluating models that convert abbreviated pinyin of Chinese characters into their corresponding Chinese characters.
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