RAG Eval Benchmark
Ready-made question-and-answer sets for testing how well an AI search/chat system finds and uses the right document.
- Rows
- 941
- Region
- India
- Labeled PII
- No
- Fraud labels
- No
What you can test with it
- Test retrieval quality and grounded-answer scoring on India-shaped data rather than US-shaped placeholders.
- Populate a lower environment, demo or training set without touching real customer data.
Fields
- bundle_ref
- domain
- question
- answer
- answer_type
- difficulty
- gold_chunk_ids
- distractor_chunk_ids
- verified
- region_code
Is this data safe to use?
Yes. Every record is generated, never derived from or masked from real people, and every identifier is non-issuable by construction — correctly formatted, but failing checksum validation or using a reserved range so it can never match a real person or institution.