Cedar Street Tacos: Two plate combo
Two plate combo for Cedar Street Tacos. A fixed price page at 22.50 CAD covering 2 dishes that are already on the printed menu. The same items ordered separately come to 25.50 CAD, so the page states a saving of 3.00 CAD. Plate cost for the bundle is 3.29 CAD.
Rendered preview of the pdf file (2.4 KB). Download above for the original.
Specifications
- Kit
- restaurant-food-truck
- Industry
- food-service
- Schema Version
- 1
- Synthetic
- true
- As Of
- 2026-09-08
- Currency
- CAD
- Menu Items
- 4
- Pages
- 1
- Items
- 2
- Price Cad
- 22.5
- A La Carte Cad
- 25.5
- Saving Cad
- 3
Testing contract
Expected to pass- Scenario
- Use two plate combo in the Cedar Street Tacos menu, allergen and till import workflow.
- Expected result
- A fixed price page at 22.50 CAD covering 2 dishes that are already on the printed menu. The same items ordered separately come to 25.50 CAD, so the page states a saving of 3.00 CAD. Plate cost for the bundle is 3.29 CAD.
What is a .pdf file?
PDF (Portable Document Format) is a page-oriented format that fixes layout, fonts, and vector and raster graphics so a page renders identically anywhere. A `%PDF-` header is followed by numbered objects, a cross-reference table mapping each to a byte offset, and a trailer; edits append incremental updates rather than rewrite the file. Page content is a stream of drawing operators, so a PDF holds no words or paragraphs, only positioned glyph runs. Adobe released it in 1993 and gave it to ISO as ISO 32000-1 in 2008.
How to use this file
Use an example PDF to test text extraction, rendering, metadata parsing, AcroForm handling, and OCR pipelines: checking that extraction reconstructs reading order from glyph positions, that a scanned page yields no text, and that an incremental update leaves earlier revisions in the file.
How to use this file for testing
“Cedar Street Tacos: Two plate combo” is a deterministic Novus Examples fixture for Data import, OCR testing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: 1 pages. 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.
Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.
Code examples
import pdfplumber # pip install pdfplumber
with pdfplumber.open("set-menu.pdf") as pdf:
print(len(pdf.pages), "pages")
print(pdf.pages[0].extract_text())Related files
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- pdfAlder Table Bistro: Printed menuPrinted menu for Alder Table Bistro. A one page food menu with 3 sections (Starters, Mains, Sides) and 4 dishes, prices right aligned in CAD and an allergen number after every dish. First page text begins "Alder Table Bistro". Every price is the menu_price_cad in plate-costs.csv and every allergen number is a Y column in allergen-matrix.csv.
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Generated by generation/restaurant_menus.py. Free for any use, no attribution required, license.