Arabic — Modern Standard Arabic (MSA) Sample
Native-written, human-verified Modern Standard Arabic. No scraping. No machine translation. No synthetic generation. Every sentence written from scratch by a first-language speaker in formal news / official-statement register, then reviewed line by line against a written checklist and measured for structural diversity across the whole set.
A public demonstration sample (50 items). Larger MSA datasets and other varieties (Levantine, Egyptian, Gulf, Maghrebi) are delivered on commission with full IP transfer.
This is the Modern Standard Arabic companion to
4factors/arabic-palestinian-levantine-sample.
Project page: https://www.4factors.ch/arabic-nlp-training-data/
Columns
| Field | Description |
|---|---|
| id | Stable item id (msa-001 … msa-050) |
| text_ar | The Arabic sentence (MSA) |
| translation_en | English gloss, added by the 4FACTORS team |
| domain | Domain label (news, health, economy, science, …) |
| variety | Always Modern Standard Arabic |
50 rows, single train split.
How this sample was made
- Scoped brief — formal register, explicit prohibitions on copying, translating and AI generation, one worked example as the quality bar.
- Native composition — one original MSA sentence per prompted topic.
- Independent review — a second native speaker marks every line: pass, preferred change, or mandatory change. Findings recorded per row.
- Diversity measurement — sentence-opening repetition, connective frequency and length distribution counted across all 50 items and brought within threshold (≤3 sentences opening with the same verb; ≥15 sentences under 12 words).
- Rewrite & re-check — the author revises; the reviewer verifies. Both versions of the file are retained, so the correction history is auditable.
- Normalisation & delivery — orthography normalised, English glosses added.
Provenance & ethics
- 100% human-written. Zero AI generation.
- No real personal names, brands, or copyrighted source text.
- The contributor is compensated and has consented to publication.
License
CC BY-NC 4.0 — free to download and evaluate for non-commercial use, with attribution. For commercial licensing or commissioned datasets (full IP transfer, your schema, English glosses included), contact 4FACTORS: info@4factors.ch — https://www.4factors.ch
Archived deposit
This sample is part of an archived corpus (all three varieties, 150 items) published on Zenodo together with the full provenance record — contributor brief, review passes, correction logs and SHA-256 checksums:
Citation
Poljanc, A., & 4FACTORS GmbH (2026). 4FACTORS Arabic Native-Written Sample Corpus: Modern Standard Arabic, Palestinian Levantine and Egyptian (150 items) (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21380048
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