Sample YAML
A YAML configuration file with nested mappings, sequences, inline lists, and comments — for testing YAML parsers.
# Sample YAML configuration
server:
host: localhost
port: 8080
tls:
enabled: true
minVersion: "1.2"
features:
- search
- editor
- preview
users:
- name: Ada
roles: [admin, editor]
- name: Grace
roles: [editor]
Specifications
- Structure
- mappings, sequences, inline lists, comments
- Valid
- true
What is a .yaml file?
YAML (YAML Ain't Markup Language) is a human-readable data-serialization format using indentation, key-value pairs, and lists, and is a superset of JSON. It supports comments, anchors, and multiple documents per file, favoring readability for configuration. Its indentation sensitivity makes it error-prone to hand-edit.
How to use this file
Use an example YAML file to test config parsers, indentation and anchor handling, multi-document streams, and safe-loading to avoid arbitrary object construction.
How to use this file for testing
“Sample YAML” is a deterministic Novus Examples fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: mappings, sequences, inline lists, comments. 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 yaml # pip install pyyaml
with open("sample.yaml") as f:
data = yaml.safe_load(f)
print(data)Related files
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- jsonBank Transactions (JSON, 60 records)The bank transactions as a JSON array — the format twin of the CSV, for import and reconciliation testing.

- csvClean CSVA clean, well-formed CSV with a header and 20 rows — the baseline case for CSV parser testing.

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