amuvarma/10k-instruction-tuned-long-v6

该数据集包含10,000个训练样本，每个样本包含input_ids、attention_mask和labels三个特征。input_ids表示输入的ID序列，数据类型为int32；attention_mask表示注意力掩码序列，数据类型为int8；labels表示标签序列，数据类型为int64。数据集的总大小为1,065,080,000字节，下载大小为244,801,586字节。数据集的默认配置指定了训练数据文件的路径。

The dataset contains 10,000 training samples, each with three features: input_ids, attention_mask, and labels. input_ids represents the input ID sequence with data type int32; attention_mask represents the attention mask sequence with data type int8; labels represents the label sequence with data type int64. The total size of the dataset is 1,065,080,000 bytes, and the download size is 244,801,586 bytes. The default configuration of the dataset specifies the path to the training data files.