Card: buy link, preview vs full pack, quick start, honest scope

README.md

@@ -1,21 +1,37 @@
 ---
 license: cc-by-4.0
-pretty_name: Pepperwind Trading Co. (preview)
+language:
+- en
+pretty_name: Pepperwind Trading Co., a synthetic company dataset (free preview)
 version: 1.0.0
 size_categories:
 - 1M<n<10M
 task_categories:
 - table-question-answering
-- text-to-sql
+- question-answering
+- tabular-classification
+- time-series-forecasting
 tags:
 - synthetic
+- synthetic-data
+- fictional-company
 - tabular
 - multi-table
+- relational
+- sql
+- text-to-sql
+- data-warehouse
+- dbt
 - e-commerce
-- finance
+- subscriptions
+- accounting
+- general-ledger
+- crm
+- product-analytics
 - benchmark
 - evaluation
 - answer-key
+- parquet
 configs:
 - config_name: billing.credit_note
   data_files: data/billing/credit_note.parquet
@@ -465,22 +481,51 @@ configs:
   data_files: data/support/ticket_tag.parquet
 ---
 
-# Pepperwind Trading Co. (preview)
+# Pepperwind Trading Co.
+
+**A fictional company, built as data.** Every person, order, invoice and journal entry in it is synthetic, generated by
+[Misata](https://www.misata.studio). This repository is the free preview. The full company is available
+[on misata.studio for $30](https://www.misata.studio/pepperwind?utm_source=huggingface&utm_medium=dataset_card).
+
+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.
 
-A whole company as data: a spice and tea brand selling in India, the EU and the US, over thirty-six months, across
-eleven business systems whose keys agree with each other. Orders reach the ledger, refunds reach support, a campaign
-reaches the sessions it brought. Every number on the company's dashboards has an answer key.
+## What people use it for
 
-Version 1.0. This preview carries every system on a 1% sample of the customers: **223 tables, 1,818,718 rows**,
-with an answer key computed on this sample, the data dictionary, the KPI queries with their values on this preview,
-and the public development tasks with their gold.
+- 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
 
-Explore it in the browser, with live SQL and the company's story, at
-**[misata.studio/pepperwind](https://misata.studio/pepperwind)**.
+## 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](https://www.misata.studio/pepperwind?utm_source=huggingface&utm_medium=dataset_card) |
+
+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 | What it holds |
+| 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 |
@@ -494,30 +539,64 @@ Explore it in the browser, with live SQL and the company's story, at
 | `hr` | 13 | 233,316 | employment, contracts, compensation, payroll, attendance, leave, reviews |
 | `comms` | 17 | 178,849 | email, chat, calendar, documents, policies, consent, DSARs, audit log |
 
-## Files
+## Quick start
 
-- `data/<system>/<table>.parquet`: every table, one Parquet file each (browse them in the viewer above).
-- `answer_key/`: the preview's answer key and every KPI's value on it.
-- `tasks/`: the public development tasks with their gold answers.
-- `docs/`: the data dictionary.
-- `pepperwind_preview.zip`: all of the above in one download. `SHA256SUMS` lists every file's checksum.
+Each table is its own config in the viewer above, named `<system>.<table>`.
+
+```python
+from datasets import load_dataset
+
+orders = load_dataset("misatadata/pepperwind", "commerce.order", split="train")
+```
+
+Or query the Parquet files directly with DuckDB:
 
 ```python
 import duckdb
-duckdb.sql("SELECT market_code, count(*) AS orders FROM 'data/commerce/order.parquet' GROUP BY market_code").show()
+
+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()
 ```
 
-## The full company
+## Files
 
-The full pack is every customer over all thirty-six months, with the complete answer key, every KPI's value each month
-and the full task bank with its held-out split: [misata.studio/pepperwind](https://misata.studio/pepperwind).
+- `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. It is synthetic, made with [Misata](https://misata.studio). No real company, brand, person, address or phone number
-is used; every email domain ends in `.example` and every IP address sits in a documentation range.
+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.
 
-## Licence
+Before buying the full pack, read [what it is and is not](https://www.misata.studio/pepperwind?utm_source=huggingface&utm_medium=dataset_card#before). 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](https://creativecommons.org/licenses/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.
+
+```bibtex
+@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}
+}
+```
 
-This preview is released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/): share and adapt it, with
-credit to Misata.
+Need data shaped to your own business? [Misata](https://www.misata.studio) builds datasets from a description or your schema,
+with the answer key.