Prompt-agnostic RAG benchmark exports for citation and retrieval-grounded QA evaluation.
Each row has:
id: stable example id
query: user question
retrieved_documents: retrieved context chunks
titles: chunk titles aligned with retrieved_documents
supporting_index: zero-based indices of gold/supporting chunks
answer: expected answer; an empty answer with empty supports represents an unanswerable row
The files are grouped as Hugging Face dataset… See the full description on the dataset page:
https://huggingface.co/datasets/Mvanypersele/luciole_RAG.
