s-emanuilov/query-expansion

Query Expansion Dataset This dataset is designed to train search query expansion models that can generate multiple semantic expansions for a given query. Purpose The goal of this dataset is to serve as input for training small language models (0.5B to 3B parameters) to act as query expander models in various search systems, including but not limited to Retrieval-Augmented Generation (RAG) systems. Query expansion is a technique used to enhance search results by… See the full description on the dataset page: https://huggingface.co/datasets/s-emanuilov/query-expansion.