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Pepperwind Trading Co.
A fictional company, built as data. Every person, order, invoice and journal entry in it is synthetic, generated by Misata. This repository is the free preview. The full company is available on misata.studio for $30.
Try it before you download: query a slice in your browser with DuckDB, nothing to install, and check your answers against graded questions.
Pepperwind is a spice and tea trader from Kochi that sells in India, Europe and the United States. Over thirty-six months, from October 2023 to September 2026, it runs eleven business systems: a storefront, a subscription club, a warehouse, a general ledger in three currencies, support, CRM, marketing, product analytics, HR and payroll, and company mail and chat. The systems share keys, so a single order can be followed from the customer's session through payment, picking, shipping, the ledger and any support ticket it caused.
Most sample databases are one schema made for one tutorial. Pepperwind is closer to what you meet at work: several systems that each hold part of the story and do not always agree. It comes with an answer key, so you can check your results. Pepperwind is not real data, and nothing in it describes a real company or person.
What people use it for
- Dashboards and BI demos that need more than one fact table
- SQL, analytics engineering and dbt courses with joins across systems
- Warehouse and pipeline projects: staging, deduplication, slowly changing dimensions, currency conversion
- Finance exercises: reconciliation, intercompany, tax and currency
- Churn, fraud and forecasting models on events with a known cause
- Testing AI analysts and text-to-SQL features against questions with known answers
Preview and full pack
| Free preview (this repository) | Full pack | |
|---|---|---|
| Customers | 1% of consumers; B2B accounts and HR in full | all |
| Tables | 223 | 223 |
| Rows | 1,818,718 | 79,233,785 |
| Months | 36 | 36 |
| Answer key | computed on the sample | complete |
| KPIs with their values | on the sample | 92, every month |
| Graded questions | 129 development questions | 420: 138 development, 282 held-out test |
| Licence | CC BY 4.0 | commercial use, no resale |
| Price | free | $30, one payment |
The preview is built the same way as the full pack, with the same tables and columns. Its answers are computed on its own rows, so they differ from the full pack's.
Systems
| System | Tables | Rows in the preview | What it holds |
|---|---|---|---|
core |
16 | 18,244 | markets, organisation, people, products, SKUs, price lists, warehouses |
commerce |
12 | 89,320 | customers, carts, orders and lines, promotions, referrals, returns, reviews |
billing |
11 | 75,832 | the subscription club: prices, subscriptions, invoices, payments, disputes, refunds |
logistics |
17 | 320,183 | stock, transfers, packing runs, club boxes, shipments, tracking, RTO |
ledger |
93 | 266,688 | general ledger by entity (India, EU, US, cross-border), intercompany, tax, duty, FX |
crm |
13 | 59,822 | B2B accounts, contacts, leads, opportunities, quotes, territories |
marketing |
8 | 121,219 | campaigns, sends, email events, consent, UTM, daily ad spend |
product |
10 | 422,066 | web and app sessions, events, identity stitching, experiments, attribution |
support |
13 | 33,179 | tickets, events, messages, agents and shifts, SLAs, CSAT, knowledge base |
hr |
13 | 233,316 | employment, contracts, compensation, payroll, attendance, leave, reviews |
comms |
17 | 178,849 | email, chat, calendar, documents, policies, consent, DSARs, audit log |
Quick start
Each table is its own config in the viewer above, named <system>.<table>.
from datasets import load_dataset
orders = load_dataset("misatadata/pepperwind", "commerce.order", split="train")
Or query the Parquet files directly with DuckDB:
import duckdb
duckdb.sql("""
SELECT channel, currency, count(*) AS orders, round(sum(total)) AS revenue
FROM 'data/commerce/order.parquet'
WHERE cancelled_at IS NULL
GROUP BY ALL
ORDER BY currency, revenue DESC
""").show()
Files
data/<system>/<table>.parquet: every table, one Parquet file eachanswer_key/: the answer key on this sample: what was planted where, the incidents, and every KPI's valuetasks/public_dev.jsonl: the development questions with their gold answersdocs/: the data dictionary, one page per system, anddictionary.jsonpepperwind_preview.zip: everything above in one downloadSHA256SUMS: a checksum for every data file
Is any of it real?
No. Pepperwind Trading Co. is fictional and every row is synthetic. No real company, brand, person, address or phone
number is used. Every email domain ends in .example, and every IP address is in a reserved documentation or
benchmarking range. Its patterns come from the business plan it was built to follow, not from any real company's
records, so use it to build, teach, test and demonstrate, not to draw conclusions about real markets.
Before buying the full pack, read what it is and is not. Start with this preview: if it does not fit what you are building, the full pack will not either.
Licence and citation
This preview is released under CC BY 4.0. Credit it as "Pepperwind Trading Co. by Misata". The full pack has its own licence, which allows commercial use and does not allow reselling or redistributing the dataset itself.
@misc{pepperwind2026,
title = {Pepperwind Trading Co.: a synthetic multi-system company dataset},
author = {{Misata}},
year = {2026},
url = {https://huggingface.co/datasets/misatadata/pepperwind},
note = {Version 1.0}
}
Need data shaped to your own business? Misata builds datasets from a description or your schema, with the answer key.
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