---
license: odc-by
language:
  - ar
size_categories:
  - 100M<n<1B
---

# AraMix-Native

A native-Arabic-filtered version of
[`AdaMLLab/AraMix`](https://huggingface.co/datasets/AdaMLLab/AraMix) (`minhash_deduped`),
derived from [`SultanR/AraMix-Translation-Scores`](https://huggingface.co/datasets/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:

1. `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).
2. 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).
3. Arabic stopword cadence ≥ 0.035 (orthography-normalized, و/ف proclitics
   stripped, tatweel removed) — drops keyword-stuffed/garbled pages.
4. ≥ 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.