BaoLocTown/reddit-clustering-p2p-exploded-test-vn

该数据集包含10个不同的集群（cluster_0到cluster_9），每个集群的数据集都包含三个特征：sentences（句子）、labels（标签）和og_sentences（原始句子）。数据集仅包含训练集（train），并且每个集群的训练集都有不同的字节数和示例数。具体来说，cluster_0包含2048个示例，cluster_1包含79172个示例，cluster_2包含1942个示例，cluster_3包含13224个示例，cluster_4包含92303个示例，cluster_5包含28607个示例，cluster_6包含69146个示例，cluster_7包含67469个示例，cluster_8包含29683个示例，cluster_9包含62261个示例。

The dataset consists of 10 different clusters (cluster_0 to cluster_9), each containing three features: sentences, labels, and og_sentences. The dataset only includes a training set (train), and each clusters training set has a different number of bytes and examples. Specifically, cluster_0 contains 2048 examples, cluster_1 contains 79172 examples, cluster_2 contains 1942 examples, cluster_3 contains 13224 examples, cluster_4 contains 92303 examples, cluster_5 contains 28607 examples, cluster_6 contains 69146 examples, cluster_7 contains 67469 examples, cluster_8 contains 29683 examples, and cluster_9 contains 62261 examples.