ssmits/small-test-dataset

该数据集包含多个字段，如文本内容、ID、数据转储、URL、文件路径、语言、语言评分、令牌计数、评分和整数评分等。数据集主要用于存储和处理文本数据，可能用于自然语言处理任务，如文本分类、语言模型训练等。数据集包含一个训练分割，共有21820个样本，总大小为111245013.57字节。

This dataset includes multiple fields such as text content, ID, dump, URL, file path, language, language score, token count, score, and integer score. The dataset is primarily used for storing and processing text data, potentially for natural language processing tasks such as text classification, language model training, etc. The dataset contains one training split with a total of 21,820 samples and a total size of 111,245,013.57 bytes.