json3.2 KB

Cobalt Operations Team: Employee directory JSON

Employee directory JSON for Cobalt Operations Team. The same 8 employees as employee-directory.csv with a department count and a privacy note. The team splits 4 in Operations, 4 in Service.

Data import

Preview, first 50 linesjson

{
  "schemaVersion": 1,
  "generatedAt": "2026-09-08",
  "employer": "Cobalt Operations Team",
  "privacy": "Names are role labels. There is no address, telephone number, date of birth or national identifier in this file, and the bank details are reserved test values that route nowhere.",
  "totals": {
    "employees": 8,
    "byDepartment": {
      "Operations": 4,
      "Service": 4
    }
  },
  "employees": [
    {
      "employee_id": "EMP-01",
      "employee_name": "Team member 1",
      "department": "Service",
      "employment_type": "hourly",
      "hourly_rate": "20.00",
      "start_date": "2024-01-15",
      "active": "true",
      "bank_sort_code": "000000",
      "bank_account_number": "00000001",
      "identifiers_are_test_values": "true"
    },
    {
      "employee_id": "EMP-02",
      "employee_name": "Team member 2",
      "department": "Operations",
      "employment_type": "hourly",
      "hourly_rate": "22.00",
      "start_date": "2024-03-15",
      "active": "true",
      "bank_sort_code": "000000",
      "bank_account_number": "00000002",
      "identifiers_are_test_values": "true"
    },
    {
      "employee_id": "EMP-03",
      "employee_name": "Team member 3",
      "department": "Service",
      "employment_type": "hourly",
      "hourly_rate": "24.00",
      "start_date": "2024-05-14",
      "active": "true",
      "bank_sort_code": "000000",
      "bank_account_number": "00000003",
      "identifiers_are_test_values": "true"
    },
    {

… 112 lines total: download for the full file.

Specifications

Document Set: payroll
Industry: people-operations
Source Kit: people-operations
Synthetic: true
As Of: 2026-09-08
Rows: 8
Sensitive Fields: 0
Encoding: UTF-8

Testing contract

Expected to pass

Scenario: Parse the directory, rebuild the department counts and audit the fields for personal data.
Expected result: employees has 8 members and the byDepartment counts rebuild from them exactly. No member carries an address, telephone number, date of birth or national identifier, and every bank account number is one of the reserved sequential test values.

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

“Cobalt Operations Team: Employee directory JSON” is a deterministic Testaroo fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: 8 rows · UTF-8. 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("employee-directory.json") as f:
    data = json.load(f)
print(type(data), len(data))

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