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Fake Users Dataset (JSON, 500 records)

The 500-row users dataset as a JSON array: the format twin of the CSV version, for testing import and conversion.

Data importConversion testing
Preview, first 50 linesjson
[
  {
    "id": 1,
    "name": "Jessica Smith",
    "email": "powerschristopher@example.com",
    "address": "59797 Christopher Station, Port Alexisfort, FM 33246",
    "dob": "1949-12-08"
  },
  {
    "id": 2,
    "name": "Susan Jones",
    "email": "robertsonbrandon@example.net",
    "address": "5433 Mcdowell Shores Apt. 810, Douglasfort, TN 49960",
    "dob": "1956-11-30"
  },
  {
    "id": 3,
    "name": "Kevin Martin",
    "email": "drewpineda@example.org",
    "address": "USNS Santiago, FPO AA 05690",
    "dob": "1973-11-13"
  },
  {
    "id": 4,
    "name": "Robert Thompson",
    "email": "kevinabbott@example.com",
    "address": "7597 Williams Mountains Apt. 787, Joshuaburgh, MT 57656",
    "dob": "1997-11-17"
  },
  {
    "id": 5,
    "name": "Joseph Calderon",
    "email": "qbennett@example.com",
    "address": "29425 Le Common Suite 304, East Williamland, WY 92171",
    "dob": "1967-02-11"
  },
  {
    "id": 6,
    "name": "Joel Richards",
    "email": "barkerstefanie@example.org",
    "address": "353 Thompson Prairie Apt. 405, South Rebecca, OH 62424",
    "dob": "1968-04-03"
  },
  {
    "id": 7,
    "name": "Anthony Martin",
    "email": "meganjones@example.com",
    "address": "123 Ryan Street, Jamiefurt, VI 37207",
    "dob": "1982-02-13"
  },
… 87.9 KB file: download for the full file.

Specifications

Records
500
Schema
id, name, email, address, dob
Generator
faker
Seed
1234

Testing contract

Expected to pass
Scenario
Exercise Fake Users Dataset (JSON, 500 records) in its fake datasets workflow. The 500-row users dataset as a JSON array: the format twin of the CSV version, for testing import and conversion.
Expected result
array length is 500; first-record keys are id, name, email, address, dob.

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“Fake Users Dataset (JSON, 500 records)” is a deterministic Testaroo fixture for Data import, Conversion testing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: seed 1234 · 500 records · schema: id, name, email, address, dob. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Code examples

import json

with open("users.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/data_fake.py. Free for any use, no attribution required, license.

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