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csv499 B

Pine Assembly Workshop: HS tariff code reference

HS tariff code reference for Pine Assembly Workshop. Four tariff codes with duty rates and the unit of quantity each is measured in. Only 9403.30 is used on this entry, because the kit is presented complete but unassembled and is classified as the finished article; the three component codes are shipped so a classification test has a wrong-but-plausible alternative to reject.

csv

text/csv

499 B
Document Set
logistics
Industry
logistics
Source Kit
inventory-manufacturing
Synthetic
true
As Of
2026-09-08
Rows
4

Binary csv: no in-browser preview. Download it above to open in a compatible application.

Specifications

Document Set
logistics
Industry
logistics
Source Kit
inventory-manufacturing
Synthetic
true
As Of
2026-09-08
Rows
4
Codes Used
1
Encoding
UTF-8

Testing contract

Reference control
Scenario
Classify the commercial invoice lines and check which tariff code the entry uses.
Expected result
Exactly one row has used_on_this_entry set to true, 9403.30 at 0.025. Classifying the shipment as three component lines instead would move 226.880 kg onto codes carrying 0.000 and 0.020 duty and change the duty payable, which is the classification error this table exists to catch.

What is a .csv file?

CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.

How to use this file

Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.

How to use this file for testing

“Pine Assembly Workshop: HS tariff code reference” 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: 4 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 pandas as pd

df = pd.read_csv("hs-code-table.csv")
print(df.head())
print(df.dtypes)

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