Datasets:
File size: 2,895 Bytes
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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.*
*Feedback, comments, or requests? Reach us at zia.data.team@protonmail.com*
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