The purpose of this dataset is to provide a simple and easy-to-use benchmark for retrieval encoder models, which helps researchers quickly select the most effective retrieval encoder for text extraction and achieve optimal results in subsequent retrieval tasks such as retrieval-augmented-generation (RAG). The dataset contains multiple document-question pairs, where each document is a short text about the… See the full description on the dataset page:
https://huggingface.co/datasets/lnwang/retrieval_qa.
