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Willow Community Fund: Donation receipts with benefit split

Donation receipts with benefit split for Willow Community Fund. 9 receipts for the gifts actually received. 3 are pure gifts where deductible_amount equals gross_amount; 6 were made at a fundraising event and carry a benefit, so their deductible_amount is the gross less the fair market value of what the supporter received. Gross totals 1800.00, benefits 130.50 and deductible 1669.50. Getting this split wrong is the single most common error on a charitable receipt.

csv

text/csv

1.3 KB
Document Set
nonprofit
Industry
nonprofit
Source Kit
nonprofit-fundraising
Synthetic
true
As Of
2026-09-08
Rows
9

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

Specifications

Document Set
nonprofit
Industry
nonprofit
Source Kit
nonprofit-fundraising
Synthetic
true
As Of
2026-09-08
Rows
9
Quid Pro Quo Receipts
6
Gross Usd
1800.00
Benefits Usd
130.50
Deductible Usd
1669.50
Encoding
UTF-8

Testing contract

Expected to pass
Scenario
Import the receipts and check the deductible split against the benefit value schedule.
Expected result
gross_amount minus value_of_benefits equals deductible_amount on all 9 rows. The columns total 1800.00, 130.50 and 1669.50. Every row with a non-zero benefit names the benefit and the event it was received at, and every benefit value resolves in benefit-value-schedule.csv.

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

“Willow Community Fund: Donation receipts with benefit split” 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: 9 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("donation-receipts.csv")
print(df.head())
print(df.dtypes)

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