amuvarma/snac-2m-tts-combined

该数据集是一个训练集，包含约479万个示例，每个示例具有三个特征：input_ids，attention_mask和labels。input_ids可能代表输入文本的编码ID，attention_mask可能用于指示输入序列中哪些部分应该被模型关注，labels可能是模型需要预测的目标或标签。数据集的总大小为51056100912字节，下载大小为12427712183字节。

This dataset is a training set containing approximately 4,793,640 examples, each with three features: input_ids, attention_mask, and labels. input_ids likely represent the token IDs of the input text, attention_mask may be used to indicate which parts of the input sequence should be attended to by the model, and labels may be the targets or tags that the model is supposed to predict. The total size of the dataset is 51056100912 bytes, and the download size is 12427712183 bytes.