FrAle01/msmarco-passage-full-embeddings_outputs-models-nomic_mrl_msmarco_old

该数据集包含一个训练分割，共有8,841,823个示例，总大小为27,258,229,199字节。每个示例具有两个特征：docno（字符串类型）和full_embedding（长度为768的浮点数列表，类型为float32）。数据集主要用于嵌入表示，可能用于自然语言处理或信息检索任务，但未提供具体应用描述。This dataset includes a training split with 8,841,823 examples and a total size of 27,258,229,199 bytes. Each example has two features: docno (string type) and full_embedding (a list of floats with length 768, type float32). The dataset is designed for embedding representations, likely for natural language processing or information retrieval tasks, but no specific application description is provided.