metadata
license: odc-by
language:
- ar
size_categories:
- 100M<n<1B
AraMix-Native
A native-Arabic-filtered version of
AdaMLLab/AraMix (minhash_deduped),
derived from SultanR/AraMix-Translation-Scores:
machine-translated and garbled-MT documents removed, 162,887,010 rows kept of
178,883,241 (91.06%). All columns preserved.
Filter rules
A document is kept iff all of:
mmbert_translated_score < 0.1, or a classical-text rescue: diacritic (tashkeel) ratio ≥ 0.02 over Arabic letters and ≥ 3 distinct diacritic classes (fully/partially vocalized classical prose, Qur'anic text, poetry — verified to exclude MT that carries only tanwīn).- No China-catalog MT pattern (machinery/manufacturer boilerplate — a large MT class the classifier scores ≈ 0 because it is far more broken than the fluent backtranslations it was trained on).
- Arabic stopword cadence ≥ 0.035 (orthography-normalized, و/ف proclitics stripped, tatweel removed) — drops keyword-stuffed/garbled pages.
- ≥ 10 mojibake characters → dropped; < 20 Arabic words → dropped.
| decision | rows |
|---|---|
| kept (score < 0.1) | 162,281,524 |
| kept (classical rescue) | 605,486 |
| dropped: translated (score ≥ 0.1) | 2,360,671 |
| dropped: catalog MT | 10,087,854 |
| dropped: garbled / keyword-stuffed | 2,556,732 |
| dropped: too little Arabic | 990,974 |
Known residuals (manually verified by sampling)
- Fluent-but-slightly-broken MT that the classifier scores < 0.1 (e.g. pharma pages mixing Latin chemical terms) remains — est. ~1% of kept rows worst-case.
- The garble gate wrongly drops a small amount of name-dense prose (sports line-ups, protocol news), est. ≤ 0.5% of the corpus.
- The MT classifier (
mmbert_translated_score, see the scores dataset card) was trained on gemma-4 / Seed-X / Llama-3.1 backtranslations; MT from very different systems (e.g. older SMT) may not be flagged.