ReaRAG-20k is a reasoning-focused dataset designed for training the ReaRAG model. It contains approximately 20,000 multi-turn retrieval examples constructed from the QA datasets such as HotpotQA, MuSiQue, and Natural Questions (NQ).
Each instance follows a conversational format supporting reasoning and retrieval steps:
{
"messages": [{"role": "user", "content": "..."},
{"role": "assistant"ā¦ See the full description on the dataset page:
https://huggingface.co/datasets/THU-KEG/ReaRAG-20k.
