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credit_note_id
stringlengths
27
27
invoice_id
stringlengths
27
27
customer_id
stringlengths
18
18
refund_id
stringlengths
27
27
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number
stringlengths
19
19
currency
stringclasses
2 values
amount
int64
293
480M
tax
int64
0
19.8k
out_of_band_amount
int64
5.4k
53.6M
⌀
reason
stringclasses
3 values
memo
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20
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type
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2 values
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created
timestamp[ns]date
2024-03-08 20:56:04
2026-09-09 17:48:15
cn_1OsASWKYW674HvRFBxutY3qD
in_1OntpkKYW674HvRFDbSytBFo
cus_5n9AifkNe9FuFG
re_3OsASWKYW674HvRFCpKT7EnS
F549EECC-0001-CN-01
inr
415,833
19,802
null
order_change
Annual plan cancelled: unused months refunded, less one
post_payment
issued
2024-03-08T20:56:04
cn_1P9PMdKYW674HvRF7wybivPP
in_1P8hCJKYW674HvRF3RYOCL26
cus_LXtMlBAd0UAbyw
re_3P9PMdKYW674HvRF3yXY8oou
248E067D-0002-CN-01
eur
999
82
null
product_unsatisfactory
Return RMA-EU-100001
post_payment
issued
2024-04-25T10:17:15
cn_1PBZIzKYW674HvRFGkCP2Mds
in_1PAe7DKYW674HvRFGGNUt6Pq
cus_7t3Z7fF5e9vZ2z
re_3PBZIzKYW674HvRF3AyO83tr
B367F6EF-0001-CN-01
eur
1,400
116
null
product_unsatisfactory
Return RMA-EU-100002
post_payment
issued
2024-05-01T09:18:25
cn_1PzrqZKYW674HvRF6XHfeXLo
in_1PutFdKYW674HvRFJlzZg7Fq
cus_MFdeSXze4VItPP
re_3PzrqZKYW674HvRFG8DBVeyi
CE5942FF-0001-CN-01
eur
5,670
984
null
product_unsatisfactory
Return RMA-EU-100003
post_payment
issued
2024-09-17T03:12:59
cn_1Q9XHjKYW674HvRF5wPE9DV8
in_1Q2dB3KYW674HvRF9SXNfgGP
cus_MD6EXQwyp9X7bu
re_3Q9XHjKYW674HvRF6hyI60pA
E7837E6D-0003-CN-01
eur
6,099
1,017
null
order_change
Return RMA-EU-100004
post_payment
issued
2024-10-13T19:16:59
cn_1QenASKYW674HvRF74EKYvNy
in_1QefNDKYW674HvRFIHhAENgb
cus_4692azpfKNuXL8
re_3QenASKYW674HvRF6Tebavdm
2F740F73-0002-CN-01
eur
5,898
385
null
order_change
null
post_payment
issued
2025-01-08T00:30:40
cn_1QrgxxKYW674HvRF4qbLcNdI
in_1Qo1RWKYW674HvRFHe2pk1Vf
cus_4692azpfKNuXL8
re_3QrgxxKYW674HvRFAOxu9PEw
2F740F73-0003-CN-01
eur
3,095
202
null
order_change
Parcel returned undelivered
post_payment
issued
2025-02-12T14:31:05
cn_1QtVHSKYW674HvRFEEva93dQ
in_1QrIEaKYW674HvRFHG4DYonp
cus_Dj5cUwF2Ap9uvi
re_3QtVHSKYW674HvRF7FPyjRb7
BD04B15C-0001-CN-01
eur
1,665
138
null
order_change
Parcel returned undelivered
post_payment
issued
2025-02-17T14:26:42
cn_1S1XwqKYW674HvRFHxohllC8
in_1Rx9mCKYW674HvRF7KHfbroI
cus_7t3Z7fF5e9vZ2z
null
B367F6EF-0011-CN-01
eur
5,399
937
5,399
order_change
Return RMA-EU-100006: refunded as store credit
post_payment
issued
2025-08-29T19:26:56
cn_1SOERBKYW674HvRFEiI1uO3M
in_1SLfk6KYW674HvRF7eX1jUiJ
cus_DcMVBdojlbsv7H
re_3SOERBKYW674HvRFIedWXoPf
C71F2DE2-0001-CN-01
eur
1,399
92
null
product_unsatisfactory
Return RMA-EU-100008
post_payment
issued
2025-10-31T09:16:01
cn_1T4crCKYW674HvRFI4ehc1Pk
in_1T4cFAKYW674HvRFDuf5xyxq
cus_DDNZmLALNaYmJp
re_3T4crCKYW674HvRFArhPBu9k
6E27D590-0002-CN-01
eur
4,294
355
null
order_change
null
post_payment
issued
2026-02-25T07:50:06
cn_1TAX6eKYW674HvRFC3DqNUg7
in_1TATRiKYW674HvRFFCOns2bw
cus_LdOyP4RO0s1aWd
re_3TAX6eKYW674HvRF5r3YTMts
94CAB706-0001-CN-01
eur
1,709
111
null
fraudulent
null
post_payment
issued
2026-03-13T14:54:28
cn_1TM5u4KYW674HvRF8pa8NPCQ
in_1TIuskKYW674HvRFDEN2Ftlw
cus_0Vv1GjERsQ7q9w
re_3TM5u4KYW674HvRFJFpLelcq
86568CCC-0008-CN-01
eur
2,290
189
null
order_change
Parcel returned undelivered
post_payment
issued
2026-04-14T12:17:16
cn_1TOpfXKYW674HvRFFAQdFp5V
in_1TLzslKYW674HvRFHbopeuhq
cus_MFdeSXze4VItPP
re_3TOpfXKYW674HvRFG0nMpjAF
CE5942FF-0007-CN-01
eur
1,599
132
null
order_change
Parcel returned undelivered
post_payment
issued
2026-04-22T01:33:35
cn_1TWsnkKYW674HvRF6to8CMPv
in_1TTyelKYW674HvRFAJEc8g6y
cus_77hGs6GvSzC1xH
re_3TWsnkKYW674HvRF1pimtPHF
53368980-0001-CN-01
eur
3,149
164
null
product_unsatisfactory
Return RMA-EU-100010
post_payment
issued
2026-05-14T06:31:20
cn_1Tf4N8KYW674HvRFEaOZ5ZJP
in_1Tf3r8KYW674HvRF0jOPioTg
cus_KkFrD48CdXjYsT
re_3Tf4N8KYW674HvRF5iRZfwBZ
DAA66D13-0001-CN-01
eur
4,695
388
null
order_change
null
post_payment
issued
2026-06-05T20:29:42
cn_1TqNjoKYW674HvRF3RR2RFXA
in_1TkSGqKYW674HvRFH2gthnDf
cus_JABqwFjscRXnXv
re_3TqNjoKYW674HvRFEwNpkbrw
DF001AC7-0003-CN-01
eur
5,799
1,084
null
product_unsatisfactory
Return RMA-EU-100012
post_payment
issued
2026-07-07T01:23:52
cn_1Tu8D6KYW674HvRFCgR7gFJe
in_1ToHPMKYW674HvRF9YjObzXK
cus_LqeVPUxAw6NdpX
null
222B612D-0472-CN-01
inr
480,375,000
0
null
order_change
Supply agreement ended 15 Jul 2026: advance not drawn
pre_payment
issued
2026-07-17T09:37:36
cn_1Tu8sJKYW674HvRFENZ4mn6a
in_1THGNxKYW674HvRFAPoYwj6g
cus_LqeVPUxAw6NdpX
null
222B612D-0461-CN-01
inr
53,557,481
0
53,557,481
order_change
Supply agreement ended 15 Jul 2026: advance not drawn
post_payment
issued
2026-07-17T10:20:11
cn_1UDpbXKYW674HvRFAhS78XgM
in_1UBXTsKYW674HvRF2cKuNE19
cus_3esKLuetyvbIJc
re_3UDpbXKYW674HvRFAlsxhzAf
E7D148C4-0001-CN-01
eur
293
15
null
product_unsatisfactory
Return RMA-EU-100013
post_payment
issued
2026-09-09T17:48:15

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 each
  • answer_key/: the answer key on this sample: what was planted where, the incidents, and every KPI's value
  • tasks/public_dev.jsonl: the development questions with their gold answers
  • docs/: the data dictionary, one page per system, and dictionary.json
  • pepperwind_preview.zip: everything above in one download
  • SHA256SUMS: 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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