YnezT/gpt2-directions-final_random_walk-10M-with-invalid

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）。数据集被分为训练集和测试集，训练集包含10,000,000个样本，测试集包含200,000个样本。数据集的下载大小为2,242,482,202字节，总大小为18,288,600,000字节。这些特征和配置表明该数据集可能用于自然语言处理（NLP）任务，如文本分类或序列标注。

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, with the training set containing 10,000,000 samples and the test set containing 200,000 samples. The download size of the dataset is 2,242,482,202 bytes, and the total size is 18,288,600,000 bytes. These features and configurations suggest that the dataset is likely used for natural language processing (NLP) tasks, such as text classification or sequence labeling.