Datasets:
metadata
license: apache-2.0
language: en
task_categories:
- information-retrieval
- text-generation
tags:
- rag
- query-expansion
- retrieval
- synthetic-data
- msmarco
RAG Query Transformation Dataset
Description
This dataset contains synthetic query transformations generated to improve retrieval quality in Retrieval-Augmented Generation (RAG) systems.
Each original query is paired with four transformed variants:
- paraphrase
- broader
- technical
- explicit
Source
- Base queries: MS MARCO
- Transformations: LLM-generated (Gemini Flash Lite)
Size
- ~66k original queries
- ~264k total transformed queries
Intended Use
- Query expansion
- Embedding-based retrieval
- Training lightweight models (e.g., VAE) for query transformation
Limitations
- Synthetic data
- Some noise may be present
- Not intended for direct QA
Citation
If you use this dataset, please cite MS MARCO and this repository.