---
language:
- en
- ar
pretty_name: DeepLatent bilingual tokenizer-data
size_categories:
- 1M<n<10M
task_categories:
- text-generation
tags:
- arabic
- english
- bilingual
- tokenizer-training
---

# DeepLatent bilingual tokenizer-data

Balanced English/Arabic corpus for tokenizer training. The two languages carry
essentially the same number of Unicode codepoints, so a BPE/WordPiece
tokenizer trained on this corpus sees equal representation of both languages
by character content.

## Composition

| Slice    | Source                                                                                  | Filter                                             | Rows        | Chars              |
|----------|-----------------------------------------------------------------------------------------|----------------------------------------------------|-------------|--------------------|
| English  | [`almaghrabima/deeplatent-hq-merged-dedup-token-counts`](https://huggingface.co/datasets/almaghrabima/deeplatent-hq-merged-dedup-token-counts) | GlotLID `language == "English"`                    | 3,980,035   | 12,377,830,142     |
| Arabic   | [`AdaMLLab/AraMix-HQ`](https://huggingface.co/datasets/AdaMLLab/AraMix-HQ)              | `mmbert_score >= 0.2784` ∧ `language != "English"` | 2,380,570   | 12,380,271,596     |
| **Total**|                                                                                         |                                                    | **6,360,605** | **24,758,101,738** |

The Arabic threshold `mmbert_score >= 0.2784` was chosen so the Arabic char
count matches the English char count (balancing the two languages). This
yields the top ~7% highest-scoring Arabic content in AraMix-HQ.

Language labels come from GlotLID (`cis-lmu/glotlid`) run on the first 2000
characters of each document. The HQ corpus is fully labeled; the AraMix-HQ
source was partially labeled (~38.5% of shards) — remaining Arabic rows in
this merged release default to `"Arabic"` since labeled AraMix-HQ shards were
96.4% Arabic.

## Schema

| Column    | Type   | Description                                                     |
|-----------|--------|-----------------------------------------------------------------|
| `text`    | string | Document text                                                   |
| `source`  | string | Original sub-source (e.g. `ar`, `en`, `lightonai/ArabicWeb24`)  |
| `language`| string | GlotLID label: `"English"`, `"Arabic"`, or raw `lang_Script`    |
| `origin`  | string | `"hq"` or `"aramix"`                                             |

## File layout

- `en_00000.parquet` … `en_00222.parquet` — 223 English shards
- `ar_00000.parquet` … `ar_00178.parquet` — 179 Arabic shards

Each file is zstd-compressed parquet.