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README.md

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+---
+license: cc-by-nc-4.0
+task_categories:
+  - tabular-classification
+  - tabular-regression
+language:
+  - en
+tags:
+  - synthetic
+  - test-data
+  - mock-data
+  - customer-data
+  - tabular
+  - faker
+size_categories:
+  - 10M<n<100M
+pretty_name: Free Synthetic Customer Data (50M)
+---
+
+# Free Synthetic Customer Data — 50M Rows
+
+A free, fully synthetic dataset of **50,000,000 customer/user records**, generated for developers and builders who need realistic-looking test data without touching any real personal information.
+
+Every value in this dataset is **artificially generated**. No real people, no scraped data, no real PII. It's built for seeding databases, load-testing APIs, prototyping apps, testing ETL pipelines, and demoing software with data that *looks* real but isn't.
+
+## Schema
+
+| Column | Type | Description |
+|---|---|---|
+| `full_name` | string | Synthetic first + last name |
+| `email` | string | Synthetic email address (name-derived) |
+| `street_address` | string | Synthetic street number + name |
+| `city` | string | Synthetic city name |
+| `state` | string | US state abbreviation (2-letter) |
+| `zip_code` | string | 5-digit US-style postal code |
+| `phone` | string | US-style phone number, `(NXX) NXX-XXXX` format |
+| `signup_date` | string | ISO date (`YYYY-MM-DD`), spread across ~6 years |
+| `account_status` | string | One of: `active`, `inactive`, `trial`, `suspended` |
+
+**Account status distribution (approx):** active 65%, inactive 15%, trial 12%, suspended 8%.
+
+## Format
+
+- **Apache Parquet**, Snappy compression
+- One file, ~2.8 GB, 50,000,000 rows
+- Loads cleanly with pandas, polars, DuckDB, PyArrow, or the `datasets` library
+
+## Quick start
+
+```python
+import pandas as pd
+
+df = pd.read_parquet("synthetic_users_50M.parquet")
+print(df.head())
+```
+
+Or with the `datasets` library:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("ziadatalabs/FreeSyntheticCustomerData50M")
+```
+
+Or with DuckDB (great for querying without loading it all into memory):
+
+```sql
+SELECT account_status, count(*)
+FROM 'synthetic_users_50M.parquet'
+GROUP BY account_status;
+```
+
+## Notes
+
+- All data is synthetic and generated programmatically. Any resemblance to real individuals is coincidental.
+- Emails, addresses, and phone numbers follow realistic *formats* but are not real, deliverable, or dialable.
+- This is the first of several free synthetic datasets planned for builders — more types coming.
+
+## License & Usage
+
+Released under **CC BY-NC 4.0** — free for personal, research, and educational use, with attribution, **no commercial use**. See [the license](https://creativecommons.org/licenses/by-nc/4.0/) for details.
+
+---
+
+*Published by Zia Data Labs. We create synthetic data — and we give some of it away free, because good test data shouldn't be hard to find.*