emarro/fineweb_subset_train

该数据集是一个大规模的文本数据集，包含873,358个训练示例，主要用于自然语言处理任务。特征包括原始文本（text）和对应的标记ID序列（input_ids），其中input_ids以uint16列表形式存储，表示文本已被预处理和标记化。数据集文件大小约为12.5 GB，下载大小约为4.9 GB，适用于模型训练和文本分析。

This is a large-scale text dataset containing 873,358 training examples, primarily intended for natural language processing (NLP) tasks. The dataset features include raw text (text) and the corresponding token ID sequence (input_ids). The input_ids are stored as a uint16 list, indicating that the text has been preprocessed and tokenized. The dataset has an uncompressed file size of approximately 12.5 GB and a compressed download size of about 4.9 GB, and is suitable for model training and text analysis.