YnezT/gpt2-directions-random_walk_fix_len-10M-neighbour-1

该数据集包含三个主要特征：input_ids（序列类型，int32）、attention_mask（序列类型，int8）和labels（序列类型，int64）。数据集分为训练集和测试集，训练集包含10,000,000个样本，总大小为17,150,000,000字节；测试集包含200,000个样本，总大小为343,000,000字节。整个数据集的下载大小为1,948,596,894字节，总大小为17,493,000,000字节。

The dataset includes three main features: input_ids (sequence type, int32), attention_mask (sequence type, int8), and labels (sequence type, int64). The dataset is divided into a training set and a test set. The training set contains 10,000,000 samples with a total size of 17,150,000,000 bytes, and the test set contains 200,000 samples with a total size of 343,000,000 bytes. The entire dataset has a download size of 1,948,596,894 bytes and a total size of 17,493,000,000 bytes.