Eval directory · Data Analysis
Evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for ThoughtSpot AI products.
ThoughtSpot is an AI-powered analytics platform that lets anyone explore data and get instant insights using natural language search. Its Sage AI layer translates business questions into SQL, returning charts and answers in seconds without requiring analyst help.
Use the eval library for ThoughtSpot
All 3 test cases — inputs, expected behavior, and pass/fail checks — runnable in Corsac with your own data.
Related in Data Analysis
All evals →Coverage map
1 area · 3 graded scenarios
Every eval set is graded on
Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls
01
Evaluates ThoughtSpot's NL2SQL — query intent translation, schema-constrained generation, and result reliability — across 3 test cases graded case by case by an LLM judge.
Mapped capabilities
3 scenarios
Example criterion: ThoughtSpot reliably translates analyst questions into accurate SQL that returns trustworthy business results.
Each eval pack tests ThoughtSpot's public product surface — including Nl2sql Smoke V1 — against graded scenarios covering adversarial robustness, workflow quality, safety gates, and operator quality. Every pack is runnable in Corsac with your own data.
Every eval set is graded the same way: pass/fail checks plus an LLM judge scoring 1–5 against each case's expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.
The ThoughtSpot eval library includes 3 graded test cases across 1 eval pack. Each case defines an input, expected behavior, and pass/fail criteria.
Request the library with your work email above and we'll set it up in a Corsac workspace, where you can run every test case against ThoughtSpot or your own agent with your own data.
