--- license: mit language: - arb - ces - cmn - dan - deu - ell - fra - fw_ - hun - ind - ita - jpn - nld - pol - por - rus - spa - swe - tur - vie tags: - tokenizer - bpe - flexitok - fineweb2 --- # Byte-Level BPE Tokenizer: ['arb_Arab', 'ces_Latn', 'cmn_Hani', 'dan_Latn', 'deu_Latn', 'ell_Grek', 'fra_Latn', 'fw_edu', 'hun_Latn', 'ind_Latn', 'ita_Latn', 'jpn_Jpan', 'nld_Latn', 'pol_Latn', 'por_Latn', 'rus_Cyrl', 'spa_Latn', 'swe_Latn', 'tur_Latn', 'vie_Latn'] (128K) A **Byte-Level BPE** tokenizer trained on **['arb_Arab', 'ces_Latn', 'cmn_Hani', 'dan_Latn', 'deu_Latn', 'ell_Grek', 'fra_Latn', 'fw_edu', 'hun_Latn', 'ind_Latn', 'ita_Latn', 'jpn_Jpan', 'nld_Latn', 'pol_Latn', 'por_Latn', 'rus_Cyrl', 'spa_Latn', 'swe_Latn', 'tur_Latn', 'vie_Latn']** data from Fineweb-2-HQ. ## Training Details | Parameter | Value | |-----------|-------| | Algorithm | Byte-Level BPE | | Language | `['arb_Arab', 'ces_Latn', 'cmn_Hani', 'dan_Latn', 'deu_Latn', 'ell_Grek', 'fra_Latn', 'fw_edu', 'hun_Latn', 'ind_Latn', 'ita_Latn', 'jpn_Jpan', 'nld_Latn', 'pol_Latn', 'por_Latn', 'rus_Cyrl', 'spa_Latn', 'swe_Latn', 'tur_Latn', 'vie_Latn']` | | Target Vocab Size | 128,000 | | Final Vocab Size | 128,353 | | Pre-tokenizer | custom:SCRIPT_AWARE_CHAR_PATTERN | | Number handling | ltr_3digit | | Contraction handling | True | | Normalizer | NFC | | Special Tokens | ``, ``, ``, `` | | Training Shards | 40, ['fineweb_2_hq.arb_Arab.chunk.00.jsonl', 'fineweb_2_hq.arb_Arab.chunk.01.jsonl', 'fineweb_2_hq.ces_Latn.chunk.00.jsonl', 'fineweb_2_hq.ces_Latn.chunk.01.jsonl', 'fineweb_2_hq.cmn_Hani.chunk.00.jsonl', 'fineweb_2_hq.cmn_Hani.chunk.01.jsonl', 'fineweb_2_hq.dan_Latn.chunk.00.jsonl', 'fineweb_2_hq.dan_Latn.chunk.01.jsonl', 'fineweb_2_hq.deu_Latn.chunk.00.jsonl', 'fineweb_2_hq.deu_Latn.chunk.01.jsonl', 'fineweb_2_hq.ell_Grek.chunk.00.jsonl', 'fineweb_2_hq.ell_Grek.chunk.01.jsonl', 'fineweb_2_hq.fra_Latn.chunk.00.jsonl', 'fineweb_2_hq.fra_Latn.chunk.01.jsonl', 'fineweb_edu_100bt.chunk.00.jsonl', 'fineweb_edu_100bt.chunk.01.jsonl', 'fineweb_2_hq.hun_Latn.chunk.00.jsonl', 'fineweb_2_hq.hun_Latn.chunk.01.jsonl', 'fineweb_2_hq.ind_Latn.chunk.00.jsonl', 'fineweb_2_hq.ind_Latn.chunk.01.jsonl', 'fineweb_2_hq.ita_Latn.chunk.00.jsonl', 'fineweb_2_hq.ita_Latn.chunk.01.jsonl', 'fineweb_2_hq.jpn_Jpan.chunk.00.jsonl', 'fineweb_2_hq.jpn_Jpan.chunk.01.jsonl', 'fineweb_2_hq.nld_Latn.chunk.00.jsonl', 'fineweb_2_hq.nld_Latn.chunk.01.jsonl', 'fineweb_2_hq.pol_Latn.chunk.00.jsonl', 'fineweb_2_hq.pol_Latn.chunk.01.jsonl', 'fineweb_2_hq.por_Latn.chunk.00.jsonl', 'fineweb_2_hq.por_Latn.chunk.01.jsonl', 'fineweb_2_hq.rus_Cyrl.chunk.00.jsonl', 'fineweb_2_hq.rus_Cyrl.chunk.01.jsonl', 'fineweb_2_hq.spa_Latn.chunk.00.jsonl', 'fineweb_2_hq.spa_Latn.chunk.01.jsonl', 'fineweb_2_hq.swe_Latn.chunk.00.jsonl', 'fineweb_2_hq.swe_Latn.chunk.01.jsonl', 'fineweb_2_hq.tur_Latn.chunk.00.jsonl', 'fineweb_2_hq.tur_Latn.chunk.01.jsonl', 'fineweb_2_hq.vie_Latn.chunk.00.jsonl', 'fineweb_2_hq.vie_Latn.chunk.01.jsonl'] | ## Usage ```python from transformers import AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_aware_charr_AllL_128000") tokens = tokenizer.encode("Hello, world!") ``` ## Files - `tokenizer.json` — Full HuggingFace tokenizer - `vocab.json` — Vocabulary mapping - `merges.txt` — BPE merge rules ## Sample Encoding | Text | Tokens | Token IDs | |------|--------|-----------| | `Hello, world! 12345 This is a test. こんにちは` | `Hello, ,, Ġworld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġãģĵ, ãĤĵ, ãģ«, ãģ¡, ãģ¯` | `105324, 14, 6289, 3, 223, 22942, 4306, 4128, 580, 266, 2392, 16, 17920, 1728, 616, 2729, 701` | Command used to create this tokenizer: ```bash ['/home/gsa/tokenizers2/flexitok/tokenizer_training/train_tokenizers.py', 'algorithm=bpe', 'vocab_size=128000', 'langs=[arb_Arab,ces_Latn,cmn_Hani,dan_Latn,deu_Latn,ell_Grek,fra_Latn,fw_edu,hun_Latn,ind_Latn,ita_Latn,jpn_Jpan,nld_Latn,pol_Latn,por_Latn,rus_Cyrl,spa_Latn,swe_Latn,tur_Latn,vie_Latn]', 'data_dir=/scratch/gsa/data/flexitok/', 'output_dir=/scratch/gsa/trained_tokenizers', 'pretokenizer=custom:SCRIPT_AWARE_CHAR_PATTERN', 'number_handling=ltr_3digit', 'add_numbers=true', 'handle_contractions=true', 'unicode_normalization=nfc', 'use_byte_level_regex=false', 'byte_fallback=false', 'strip_zero_width=false', 'cjk_char_split=false', 'cjk_char_coverage=0.999', 'add_cjk_chars=true', 'max_lines=500_000', 'hf.publish_to_hf=true', 'hf_repo_prefix=flexitok/', 'hf.hf_repo_id=flexitok/bpe_script_aware_charr_AllL_128000', 'hf.collections=[flexitok/script-based-tokenizers]']