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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"
  },
… 2548 lines total — download for the full file.

Specifications

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

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 Novus Examples 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))

Related files

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