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xlsx7 KB

Fieldnote Learning Centre: Enrolment workbook

Enrolment workbook for Fieldnote Learning Centre. Two worksheets: Enrolments (18 rows) and Fees (3 rows). Learner identifiers are stored as text, so LEARN-01 keeps its leading zero rather than being coerced, and the score column is text for the same reason a grade of 100 must not become 1.0E+02.

Rendered preview of Fieldnote Learning Centre: Enrolment workbook

Rendered preview of the xlsx file (7 KB). Download above for the original.

Specifications

Document Set
education
Industry
education
Source Kit
education-training
Synthetic
true
As Of
2026-09-08
Sheets
2
Rows
18
Courses
3

Testing contract

Expected to pass
Scenario
Open the workbook and compare both sheets with the matching CSV files.
Expected result
Sheet Enrolments has 19 rows and matches enrolment-export.csv cell for cell, including LEARN-01 and the score of 100 on ENR-14. Sheet Fees matches fee-schedule.csv and its total_fee column prices the enrolments.

What is a .xlsx file?

XLSX is the default Microsoft Excel format, an Office Open XML spreadsheet stored as a ZIP archive containing worksheet XML, shared strings, styles, and formulas. It supports multiple sheets, cell formatting, charts, and calculated values. It is the standard for editable tabular workbooks.

How to use this file

Use an example XLSX to test spreadsheet parsing, formula and multi-sheet handling, shared-string extraction, and pipelines that read or generate Excel workbooks.

How to use this file for testing

“Fieldnote Learning Centre: Enrolment workbook” 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: 18 rows · 2 sheets. 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

from openpyxl import load_workbook

wb = load_workbook("enrolment-export.xlsx")
ws = wb.active
print(ws.title, ws.max_row, ws.max_column)

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