A Large-Scale Azerbaijani Corpus for Contrastive Retriever Training
Dataset Description
This dataset is a large-scale, high-quality resource designed for training Azerbaijani text embedding models for information retrieval tasks. It contains 671,528 training instances, each consisting of a query, a relevant positive document, and 10 hard-negative documents.
The primary goal of this dataset is to facilitate the training of dense retriever models using contrastive learning.… See the full description on the dataset page: https://huggingface.co/datasets/LocalDoc/azerbaijani_retriever_corpus.
