Bilingual CSV — English→Arabic RTL
Bilingual EN→AR RTL CSV SAMPLE for spreadsheet CAT and RTL review tools.
key,source_en,target_ar,dir
greeting,Hello,مرحبا,rtl
save,Save,حفظ,rtl
cancel,Cancel,إلغاء,rtl
Specifications
- Source
- en
- Target
- ar
- Dir
- rtl
- Rows
- 3
- Wave
- G
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
“Bilingual CSV — English→Arabic RTL” is a deterministic Novus Examples fixture for Internationalization, Localization catalogs, Encoding detection. Parallel text and accented, multi-script content — for testing translation pipelines, Unicode handling, and localization tooling.
Documented properties for this file: 3 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.
Translation-catalog fixtures carry the same message set across formats, each with its native placeholder syntax. Test your i18n loader, catalog converter, or translation-memory tool, and use the RTL and CJK variants to check bidirectional text and Unicode handling.
Load the catalog with your i18n framework and verify placeholder interpolation and plural handling; the RTL and CJK variants exercise bidirectional text and font fallback.
Code examples
import pandas as pd
df = pd.read_csv("bilingual-en-ar.csv")
print(df.head())
print(df.dtypes)Related files
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Generated by generation/localization_wave_g.py. Free for any use, no attribution required — license.