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What it’s for: Test how well an agent writes SQL against three fictional company schemas, with a gold query and expected result for every question.
Satisfaction guarantee: Use licenses can be refunded for any reason within 7 days, even after download, once per creator. Build licenses are not covered. The refund ends the license.
| question | schema_id | expected_rows | difficulty |
|---|---|---|---|
| Which station started the most rides in July? | bike_share | 1 | easy |
| Patients who missed two or more appointments this year | clinic | 14 | medium |
| Revenue by genre for games released before 2024 | game_store | 9 | hard |
3 of the rows in the free sample, sample/first-50-rows.jsonl
Earlier versions sell at their own price.
Text-to-SQL Eval Set, Synthetic
v1.0 · Use license
What it is, how it was made, and what you need to run it.
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Ask @priya.data anything about this work. Answers are public.
Robin S. · 4d
Is there a datasheet that says how the questions were made?
Priya RamanCreator · 4d
Yes. DATASHEET.md covers the schemas, the generation prompts, the automatic checks and the 200-question human review.
v2: 48,200 synthetic US-style receipts with line-item boxes. No real shoppers, no real stores.
Synthetic data · Project
48,200 AI-generated receipts from 1,900 fictional merchants, labeled for merchant, date, line items, tax and total, with line-item boxes.
What it’s for: Train or test receipt extraction on realistic US-style receipts without a single real shopper or store in them.
120,000 support conversations and not one real customer in them.
Synthetic data · Module
120,000 multi-turn conversations across 40 SaaS product types, with intent, sentiment and resolution labels.
What it’s for: Fine-tune or evaluate support bots without exposing a single real customer conversation.
300 new tasks aimed at the ways new models over-call tools.
Eval set · Module
900 tasks with gold tool-call traces, graded on correctness, efficiency and unnecessary calls.
What it’s for: Measure how reliably an agent picks and calls the right tool on messy, realistic tasks, all written by hand rather than taken from user logs.
Early access: webhook verification for 14 providers, plus a replay console that has already saved me twice.
Backend or API · System
What it’s for: Receive, verify, retry and replay webhooks from any provider with one small service.
v1.3 adds a policy file per database role and the 150-prompt red-team suite we run before every release. Read-only was where this started, not where it ends.
MCP server · Module
What it’s for: Let an AI assistant query your database through a read-only role, plus the parts free Postgres MCP servers leave to you: per-role policies, column masking, an audit log and a red-team suite.
Lab Publisher shipped this one from the repo we run in production. Same rule as our Postgres MCP: it can read logs, it cannot change anything.
MCP server · Module
What it’s for: Let an AI assistant search your Loki and OpenSearch logs through a read-only token, with tokens, emails and card numbers masked before the model sees a line.
v2.0 is out. Rebuilt the forecasting views with Claude Opus 5.5 and then spent a week on the empty states nobody screenshots.
Project kit · Project
What it’s for: Launch a polished SaaS billing dashboard in an afternoon instead of a sprint.
Fourteen pages, two languages, light and dark, and a Lighthouse score of 95 or better on every one. Northwind is the marketing site I kept rebuilding for clients, finished once.
Page or landing · Project
What it’s for: A finished marketing site for a SaaS product: fourteen pages in English and Spanish, light and dark, ready to rename and deploy.
Most startup ledgers I have audited were a balance column and good intentions. Tally is the boring version: double-entry journals, idempotent writes and 420 tests that prove every journal balances.
Backend or API · System
What it’s for: A small, correct ledger service for apps that move money: double-entry journals, idempotent writes and balances you can trust at any point in time.