Nullbotter/rus-spell-correction
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资源简介：
该数据集包含正确的文本字符串和错误的文本字符串两种类型的数据，用于训练模型识别和纠正文本错误。数据集分为训练集，共有1039个样本。
The dataset includes two types of data: correct text strings and incorrect text strings, which are used to train models to identify and correct text errors. The dataset is split into a training set with a total of 1039 samples.
提供机构：
Nullbotter
