| --- |
| 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* |
|
|
