Harbour Kitchen Group: GST/HST return lines
GST/HST return lines for Harbour Kitchen Group. The six return lines as a three-column CSV keyed by the line number the form uses, so a reader can address a value by its line rather than by its position. Line 109 and line 115 both carry 3152.57 CAD because there are no instalments to deduct.
csv
text/csv
- Document Set
- tax
- Industry
- retail
- Source Kit
- retail-commerce
- Entity
- Harbour Kitchen Group
- Synthetic
- true
- As Of
- 2026-09-08
Binary csv: no in-browser preview. Download it above to open in a compatible application.
Specifications
- Document Set
- tax
- Industry
- retail
- Source Kit
- retail-commerce
- Entity
- Harbour Kitchen Group
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 6
- Currency
- CAD
- Net Tax
- 3152.57
Testing contract
Expected to pass- Scenario
- Look up lines 105, 108 and 109 by line number and check the subtraction.
- Expected result
- Line 105 minus line 108 is 3407.82 minus 255.25, which is 3152.57, the value on line 109. A reader that addresses rows by index rather than by line number lands one row out on line 110, which is a real zero and not an absent value.
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
“Harbour Kitchen Group: GST/HST return lines” is a deterministic Novus Examples fixture for Data import, CSV parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: 6 rows. 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("gst-hst-return.csv")
print(df.head())
print(df.dtypes)Related files
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- csvFieldnote Supply Shop: Sales tax payable control accountSales tax payable control account for Fieldnote Supply Shop. The ledger account behind the filing: opening 0.00, credited 96.34 of tax collected, debited 7.46 of tax refunded, leaving 88.88 USD payable at the end of the period. The 0.13 vendor allowance and the 88.75 remittance then clear it to exactly 0.00 on 2026-09-20. The balance after row 3 is the same number the filing worksheet reaches by summing six jurisdictions.
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- csvFieldnote Supply Shop: Tax rate tableTax rate table for Fieldnote Supply Shop. The 6 rates as both a decimal and a percentage, so a reader can check one against the other. US-NY at 0.08875 is the one that a float round trip most often damages, and it is carried here to five decimal places and as 8.875 percent.
- csvFieldnote Supply Shop: Tax reconciliation, source against sourceTax reconciliation, source against source for Fieldnote Supply Shop. 7 identities stated as a pair of sources and their values, with the difference computed rather than asserted. Every difference is 0.00, and two of the rows reach across into the wave-one ecommerce set and into the crm-services model, so the file is also a cross-set consistency check.
Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.