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Datasets:
almaghrabima
/
tokenizer-data

Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Arabic
Size:
1M - 10M
Tags:
arabic
english
bilingual
tokenizer-training
Libraries:
Datasets
Dask
Polars
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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ - ar
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+ pretty_name: DeepLatent bilingual tokenizer-data
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+ size_categories:
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+ - 1M<n<10M
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - arabic
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+ - english
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+ - bilingual
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+ - tokenizer-training
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+ ---
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+
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+ # DeepLatent bilingual tokenizer-data
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+
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+ Balanced English/Arabic corpus for tokenizer training. The two languages carry
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+ essentially the same number of Unicode codepoints, so a BPE/WordPiece
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+ tokenizer trained on this corpus sees equal representation of both languages
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+ by character content.
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+
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+ ## Composition
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+
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+ | Slice | Source | Filter | Rows | Chars |
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+ |----------|-----------------------------------------------------------------------------------------|----------------------------------------------------|-------------|--------------------|
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+ | 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 |
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+ | Arabic | [`AdaMLLab/AraMix-HQ`](https://huggingface.co/datasets/AdaMLLab/AraMix-HQ) | `mmbert_score >= 0.2784` ∧ `language != "English"` | 2,380,570 | 12,380,271,596 |
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+ | **Total**| | | **6,360,605** | **24,758,101,738** |
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+
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+ The Arabic threshold `mmbert_score >= 0.2784` was chosen so the Arabic char
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+ count matches the English char count (balancing the two languages). This
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+ yields the top ~7% highest-scoring Arabic content in AraMix-HQ.
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+
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+ Language labels come from GlotLID (`cis-lmu/glotlid`) run on the first 2000
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+ characters of each document. The HQ corpus is fully labeled; the AraMix-HQ
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+ source was partially labeled (~38.5% of shards) — remaining Arabic rows in
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+ this merged release default to `"Arabic"` since labeled AraMix-HQ shards were
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+ 96.4% Arabic.
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+
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+ ## Schema
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+
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+ | Column | Type | Description |
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+ |-----------|--------|-----------------------------------------------------------------|
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+ | `text` | string | Document text |
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+ | `source` | string | Original sub-source (e.g. `ar`, `en`, `lightonai/ArabicWeb24`) |
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+ | `language`| string | GlotLID label: `"English"`, `"Arabic"`, or raw `lang_Script` |
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+ | `origin` | string | `"hq"` or `"aramix"` |
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+
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+ ## File layout
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+
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+ - `en_00000.parquet` … `en_00222.parquet` — 223 English shards
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+ - `ar_00000.parquet` … `ar_00178.parquet` — 179 Arabic shards
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+
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+ Each file is zstd-compressed parquet.
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