stephantulkens/triviaqa-query-gte-modernbert-pooled

这是一个嵌入阿里巴巴-NLP/gte-modernbert-base模型的数据集，用于大规模蒸馏、检索和相似度搜索等任务。每个数据集示例包括一个文本字段用于嵌入和一个维度为768的嵌入字段。数据集被分为一个包含87622个示例的训练集。嵌入是通过Hugging Face Hub中的阿里巴巴-NLP/gte-modernbert-base模型生成的，数据集的生成得到了Mixedbread AI的支持。

This is a dataset embedded with the Alibaba-NLP/gte-modernbert-base model, intended for tasks like large-scale distillation, retrieval, and similarity search. Each example in the dataset includes a text field for embedding and an embedding field with a dimensionality of 768. The dataset is split into a training set with 87622 examples. The embeddings are produced using the Alibaba-NLP/gte-modernbert-base model from Hugging Face Hub, and the dataset is acknowledged to have been produced with support from Mixedbread AI.