Project: eval-harness · Branch: data/golden-set · Mode: default · Model: gemini-2.5-pro
Summary
Curated a 300-case golden dataset from support tickets: de-duplicated near-identical questions with embeddings, stratified by product area, and stored expected answers with source citations.
Conversation
Turn 1 — User
Our eval set is 80% password-reset questions.
Turn 1 — Assistant
Cluster ticket questions by embedding similarity, sample per product area, and keep the citation for each expected answer so faithfulness can be checked.
Tools used in this turn:
Write: scripts/curate_golden.pyBash: python scripts/curate_golden.py --target 300 — suites/golden.yaml
Connections
- [[eval-harness]]
- [[Datasets]]
- [[Embeddings]]