--- language: - bak - bel - bul - che - chv - deu - eng - fra - kaz - kir - kpv - mhr - mkd - mon - oss - por - rus - sah - spa - srp - tat - tgk - tyv - udm - ukr - uzn license: other license_name: mixed-upstream-per-source-in-manifest task_categories: - text-classification tags: - language-identification - cyrillic configs: - config_name: default data_files: - split: train path: data/train-*.parquet - split: val path: data/val-*.parquet - split: test path: data/test-*.parquet dataset_info: features: - name: lang dtype: string - name: text dtype: string splits: - name: train num_examples: 2515126 num_bytes: 185809059 - name: val num_examples: 974866 num_bytes: 86374024 - name: test num_examples: 718647 num_bytes: 68622397 --- # spellman — Cyrillic language-ID training mix Training dataset for the [spellman](https://huggingface.co/vpermilp/spellman) detector: 26 languages (21 Cyrillic-column + the 5 Latin big-5 — the model's other 4 classes are script-routed and never appear as rows), one row per sample (`lang`, `text`), content-addressed train/val/test split. License: mixed — each row inherits its upstream corpus's license; the per-source recipe (and therefore attribution) is recorded in `manifest.json`. No upstream is non-commercial (NC): the 2026-08 license audit removed/replaced every NC-licensed or NC-derived source. Upstreams whose cards state no license are listed as `unstated` below and are tracked by a follow-up audit wave. Upstream licenses per source (HF card metadata + the 2026-08 audit): | source | license | |---|---| | `fineweb2:` | ODC-By-1.0 | | `tatoeba:` | CC-BY-2.0-FR (attribution embedded per sentence) | | `hf:cis-lmu/Glot500` | aggregate, per-source — NC/restricted slices row-filtered (Leipzig*/nllb_other_til/mtdata/Bible*); uzb_Cyrl restricted to the Earthlings slice (GPL-3) | | `hf:cis-lmu/Glot500` | aggregate, per-source — NC/restricted slices row-filtered (Leipzig*/nllb_other_til/mtdata/Bible*); uzb_Cyrl restricted to the Earthlings slice (GPL-3) | | `hf:cis-lmu/Glot500` | aggregate, per-source — NC/restricted slices row-filtered (Leipzig*/nllb_other_til/mtdata/Bible*); uzb_Cyrl restricted to the Earthlings slice (GPL-3) | | `hf:cis-lmu/Glot500` | aggregate, per-source — NC/restricted slices row-filtered (Leipzig*/nllb_other_til/mtdata/Bible*); uzb_Cyrl restricted to the Earthlings slice (GPL-3) | | `hf:cis-lmu/Glot500` | aggregate, per-source — NC/restricted slices row-filtered (Leipzig*/nllb_other_til/mtdata/Bible*); uzb_Cyrl restricted to the Earthlings slice (GPL-3) | | `hf:ailabykt/sakha-corpus-mono` | CC-BY-4.0 | | `hf:wikimedia/wikipedia` | CC-BY-SA-3.0 + GFDL (dual, text) | | `hf:AigizK/tatar-russian-parallel-corpora` | unstated on card | | `hf:HuggingFaceFW/fineweb-2` | ODC-By-1.0 | | `hf:AigizK/bashkir-russian-parallel-corpora` | CC-BY-4.0 | | `hf:Agisight/tyv-rus-200k` | CC-BY-4.0 | | `hf:ai-forever/udmurt-corpora` | MIT | | `hf:udmurtNLP/zerpal` | unstated on card | | `hf:d0rj/ru-mhr-parallel` | CC-BY-4.0 | | `opus:translatewiki` | CC-BY-SA-3.0+ (translatewiki.net content) | | `hf:NM-development/nmd-ce-ru-171k-v0` | MIT | | `csv:rusentitweet_train.csv` | unstated (research corpus; audit wave 2) | | `jsonl:seeds/hard_negatives.jsonl` | inherits FineWeb-2 (model-labeled `_removed` windows) | | `jsonl:cache/hard_negatives_scaled.jsonl` | inherits FineWeb-2 (model-labeled `_removed` windows) | | `ukr_tweets:` | unstated (github.com/saganoren/ukr-twi-corpus; audit wave 2) | | `mn_social:` | unstated (github.com/ganaxy/diploma; audit wave 2) | | `kazsandra:` | unstated (github.com/IS2AI/KazSAnDRA; audit wave 2) | | `hf:alexantonov/chuvash_mono` | CC0-1.0 | | `hf:alexantonov/chuvash_russian_parallel` | CC0-1.0 | | `hf:tahrirchi/uz-crawl` | Apache-2.0 | | `hf:averoo/sakha-oscar` | unstated on card | | `hf:allenai/MADLAD-400` | ODC-By-1.0 | | `hf:allenai/MADLAD-400` | ODC-By-1.0 | | `hf:YShynkarov/COSMUS` | MIT | | `hf:maaxap/BelarusianGLUE` | Apache-2.0 | | `hf:DGurgurov/macedonian_sa` | MIT | | `hf:DGurgurov/bulgarian_sa` | MIT | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:contemmcm/sentiment140` | unstated on card | | `hf:FrancophonIA/french_tweets` | unstated on card | | `hf:fpaulino/portuguese-tweets` | unstated on card | | `hf:mteb/told-br` | CC-BY-SA-4.0 | | `hf:NLP-UniBW/tweets_about_german_politicians_jan_feb_2025` | unstated on card | | `hf:pysentimiento/spanish-tweets` | unstated on card | | `ukr_tweets:` | unstated (github.com/saganoren/ukr-twi-corpus; audit wave 2) | | `kazsandra:` | unstated (github.com/IS2AI/KazSAnDRA; audit wave 2) | | `mn_social:` | unstated (github.com/ganaxy/diploma; audit wave 2) | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:cardiffnlp/tweet_sentiment_multilingual` | unstated on card | | `hf:mteb/told-br` | CC-BY-SA-4.0 | | `hf:FrancophonIA/french_tweets` | unstated on card | | `hf:contemmcm/sentiment140` | unstated on card | | `hf:DGurgurov/macedonian_sa` | MIT | | `hf:DGurgurov/bulgarian_sa` | MIT | | `diverse:HuggingFaceFW/fineweb-2` | ODC-By-1.0 | | `diverse:HuggingFaceFW/fineweb-2` | ODC-By-1.0 | | `csv:rusentitweet_train.csv` | unstated (research corpus; audit wave 2) | | `jsonl:seeds/relabel_rus.jsonl` | unstated (derived seed set; audit wave 2) | | `diverse:cache/wikisource-5da9d07b30.jsonl` | CC-BY-SA-4.0 (Wikisource text) | | `diverse:cache/kazsandra-eb6571e000.jsonl` | unstated (github.com/IS2AI/KazSAnDRA; audit wave 2) | | `diverse:HPLT/HPLT2.0_cleaned` | CC0-1.0 | | `diverse:cache/hf-b407fce95d.jsonl` | MIT | | `diverse:cache/hf-1f351fe715.jsonl` | Apache-2.0 | | `diverse:cache/hf-c2a1d6fbcb.jsonl` | unstated on card | | `diverse:cache/hf-b242f3ef58.jsonl` | CC-BY-4.0 | | `diverse:cache/hf-7e962c6753.jsonl` | CC0-1.0 | | `diverse:cache/hf-0bea6ddfdd.jsonl` | CC-BY-4.0 | | `diverse:cache/hf-cd00eaba11.jsonl` | aggregate, per-source — NC/restricted slices row-filtered (Leipzig*/nllb_other_til/mtdata/Bible*); uzb_Cyrl restricted to the Earthlings slice (GPL-3) | | `hf:allenai/MADLAD-400` | ODC-By-1.0 | | `hf:allenai/MADLAD-400` | ODC-By-1.0 | | `hf:wikimedia/wikipedia` | CC-BY-SA-3.0 + GFDL (dual, text) | | `hf:HPLT/HPLT2.0_cleaned` | CC0-1.0 | | `hf:allenai/MADLAD-400` | ODC-By-1.0 | | `hf:wikimedia/wikipedia` | CC-BY-SA-3.0 + GFDL (dual, text) | | `opus:GoURMET` | CC0 (OPUS release) | | `hf:HPLT/HPLT2.0_cleaned` | CC0-1.0 | | `hf:alifbank/Tajik` | MIT | | `hf:allenai/MADLAD-400` | ODC-By-1.0 | | `hf:wikimedia/wikipedia` | CC-BY-SA-3.0 + GFDL (dual, text) | | `fineweb2:` | ODC-By-1.0 | | `hf:tahrirchi/uz-books-v2` | MIT | | `hf:cis-lmu/Glot500` | aggregate, per-source — NC/restricted slices row-filtered (Leipzig*/nllb_other_til/mtdata/Bible*); uzb_Cyrl restricted to the Earthlings slice (GPL-3) | | `hf:vpermilp/lid-sah` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-sah` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-tyv` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-tyv` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-kpv` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-kpv` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-mhr` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-mhr` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-oss` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-oss` | MIT (compilation; row texts from cited public sources) | | `hf:vpermilp/lid-udm` | MIT (compilation; row texts from cited public sources) | | `ukr_tweets:` | unstated (github.com/saganoren/ukr-twi-corpus; audit wave 2) | | `hf:Den4ikAI/russian_dialogues` | MIT | | `hf:Den4ikAI/russian_dialogues` | MIT | | `hf:hausmer/dvach_chat` | other (uploader's label) — a member's export of the Dvach Telegram group chat; message text only, author names not included | | `hf:nyuuzyou/ruforum` | CC0-1.0 | Recipe (also recorded, byte-exact, in `manifest.json`): - seed `42`, `cap_per_lang=120000` - augmentation: wild `0.3`, short `0.2` (train/val only; test pristine) - short floor `0.5` - orthographic twin gate `0.5`: rows whose spelling is mostly a twin language of their label are dropped (e.g. Ukrainian tweets tagged `ru`) - lexical twin gate `4.0` nats: rows whose words are a twin language's are dropped (short Ukrainian with no Ukrainian-only letter) - referee holdout: rows whose text appears in an evaluation referee (`tatoeba_eval.tsv`, `rusentitweet_eval_v2.tsv`, `cosmus_rus_eval.tsv`, `short_eval.tsv`, `lit_rus_eval.tsv`) are in no split Sources in mix order (dedup is first-source-wins): | source | options | |---|---| | `fineweb2` | docs_per_lang=3600, per_doc=4, langs_exclude='tgk' | | `tatoeba` | train_per_lang=8000 | | `hf` | repo='cis-lmu/Glot500', config='tat_Cyrl', exclude='dataset=Leipzig*|nllb_other_til|mtdata|Bible*', lang='tat', docs=3000, per_doc=4 | | `hf` | repo='cis-lmu/Glot500', config='tgk_Cyrl', lang='tgk', exclude='dataset=Leipzig*|nllb_other_til|mtdata|Bible*', no_chars='ўы', docs=12000, per_doc=2 | | `hf` | repo='cis-lmu/Glot500', config='sah_Cyrl', exclude='dataset=Leipzig*|nllb_other_til|mtdata|Bible*', lang='sah', docs=3000, per_doc=4 | | `hf` | repo='cis-lmu/Glot500', config='udm_Cyrl', exclude='dataset=Leipzig*|nllb_other_til|mtdata|Bible*', lang='udm', docs=14000, per_doc=2 | | `hf` | repo='cis-lmu/Glot500', config='tyv_Cyrl', exclude='dataset=Leipzig*|nllb_other_til|mtdata|Bible*', lang='tyv', docs=15000, per_doc=2 | | `hf` | repo='ailabykt/sakha-corpus-mono', lang='sah', docs=8000, per_doc=3 | | `hf` | repo='wikimedia/wikipedia', config='20231101.tt', lang='tat', docs=2000, per_doc=4 | | `hf` | repo='AigizK/tatar-russian-parallel-corpora', column='tat', lang='tat', docs=999999, per_doc=2, streaming=False | | `hf` | repo='HuggingFaceFW/fineweb-2', config='tat_Latn', lang='tat', docs=10000, per_doc=3 | | `hf` | repo='AigizK/bashkir-russian-parallel-corpora', column='ba', lang='bak', docs=30000, per_doc=2 | | `hf` | repo='Agisight/tyv-rus-200k', column='tyv', lang='tyv', docs=30000, per_doc=2 | | `hf` | repo='ai-forever/udmurt-corpora', lang='udm', docs=30000, per_doc=2 | | `hf` | repo='udmurtNLP/zerpal', column='string', lang='udm', docs=20000, per_doc=3 | | `hf` | repo='d0rj/ru-mhr-parallel', column='mhr', lang='mhr', docs=30000, per_doc=2 | | `opus` | corpus='translatewiki', src='ce', tgt='en', lang='che' | | `hf` | repo='NM-development/nmd-ce-ru-171k-v0', column='ce', lang='che', docs=999999, per_doc=1, streaming=False | | `csv` | path='rusentitweet_train.csv', column='text', lang='rus' | | `jsonl` | path='seeds/hard_negatives.jsonl' | | `jsonl` | path='cache/hard_negatives_scaled.jsonl' | | `ukr_tweets` | limit=50000 | | `mn_social` | defaults | | `kazsandra` | defaults | | `hf` | repo='alexantonov/chuvash_mono', column='chv', lang='chv', raw=True, docs=500000, max_chars=512 | | `hf` | repo='alexantonov/chuvash_russian_parallel', column='chv', lang='chv', raw=True, docs=300000, max_chars=512 | | `hf` | repo='tahrirchi/uz-crawl', files='data/telegram_blogs*', lang='uzn', raw=True, cyr=0.6, docs=400000, max_chars=512 | | `hf` | repo='averoo/sakha-oscar', lang='sah', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='allenai/MADLAD-400', files='data/tyv/tyv_clean_0000.jsonl.gz', lang='tyv', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='allenai/MADLAD-400', files='data/sah/sah_clean_0000.jsonl.gz', lang='sah', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='YShynkarov/COSMUS', column='document_content', where='language_manual=ukrainian', lang='ukr', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='maaxap/BelarusianGLUE', config='besls', column='sentence', lang='bel', raw=True, docs=0, streaming=False | | `hf` | repo='DGurgurov/macedonian_sa', column='text', lang='mkd', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='DGurgurov/bulgarian_sa', column='text', lang='bul', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/english/train.jsonl', lang='eng', raw=True, docs=0, streaming=False | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/french/train.jsonl', lang='fra', raw=True, docs=0, streaming=False | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/german/train.jsonl', lang='deu', raw=True, docs=0, streaming=False | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/portuguese/train.jsonl', lang='por', raw=True, docs=0, streaming=False | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/spanish/train.jsonl', lang='spa', raw=True, docs=0, streaming=False | | `hf` | repo='contemmcm/sentiment140', column='text', lang='eng', raw=True, split='complete', docs=400000, max_chars=512 | | `hf` | repo='FrancophonIA/french_tweets', lang='fra', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='fpaulino/portuguese-tweets', column='tweet_text', lang='por', raw=True, docs=120000, max_chars=512 | | `hf` | repo='mteb/told-br', lang='por', raw=True, drop_cjk=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='NLP-UniBW/tweets_about_german_politicians_jan_feb_2025', where='language=de', lang='deu', raw=True, docs=0, max_chars=512 | | `hf` | repo='pysentimiento/spanish-tweets', files='data/train-00000-of-00166-*.parquet', lang='spa', raw=True, docs=400000, max_chars=512 | | `ukr_tweets` | lang='ukr', twitter_lang='uk', min_chars=3, max_chars=19, cyr=0.2, limit=200000 | | `kazsandra` | min_chars=3, max_chars=19, cyr=0.2 | | `mn_social` | min_chars=3, max_chars=19 | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/english/train.jsonl', lang='eng', raw=True, docs=0, streaming=False, min_chars=3, max_chars=19 | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/french/train.jsonl', lang='fra', raw=True, docs=0, streaming=False, min_chars=3, max_chars=19 | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/portuguese/train.jsonl', lang='por', raw=True, docs=0, streaming=False, min_chars=3, max_chars=19 | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/german/train.jsonl', lang='deu', raw=True, docs=0, streaming=False, min_chars=3, max_chars=19 | | `hf` | repo='cardiffnlp/tweet_sentiment_multilingual', files='data/spanish/train.jsonl', lang='spa', raw=True, docs=0, streaming=False, min_chars=3, max_chars=19 | | `hf` | repo='mteb/told-br', lang='por', raw=True, drop_cjk=True, docs=0, streaming=False, min_chars=3, max_chars=19 | | `hf` | repo='FrancophonIA/french_tweets', lang='fra', raw=True, docs=0, streaming=False, min_chars=3, max_chars=19 | | `hf` | repo='contemmcm/sentiment140', column='text', lang='eng', raw=True, split='complete', docs=400000, min_chars=3, max_chars=19 | | `hf` | repo='DGurgurov/macedonian_sa', column='text', lang='mkd', raw=True, docs=0, streaming=False, min_chars=3, max_chars=19 | | `hf` | repo='DGurgurov/bulgarian_sa', column='text', lang='bul', raw=True, docs=0, streaming=False, min_chars=3, max_chars=19 | | `diverse` | lang='rus', pool_repo='HuggingFaceFW/fineweb-2', pool_config='rus_Cyrl', pool_docs=300000, budget=20000 | | `diverse` | lang='ukr', pool_repo='HuggingFaceFW/fineweb-2', pool_config='ukr_Cyrl', pool_docs=300000, budget=20000 | | `csv` | path='rusentitweet_train.csv', column='text', lang='rus', min_chars=3, max_chars=19 | | `jsonl` | path='seeds/relabel_rus.jsonl' | | `diverse` | lang='rus', pool_file='cache/wikisource-5da9d07b30.jsonl', budget=12000 | | `diverse` | lang='kaz', pool_file='cache/kazsandra-eb6571e000.jsonl', budget=16000 | | `diverse` | lang='kir', pool_repo='HPLT/HPLT2.0_cleaned', pool_config='kir_Cyrl', pool_docs=200000, budget=16000, pool_no_chars='ҕһ' | | `diverse` | lang='tgk', pool_file='cache/hf-b407fce95d.jsonl', budget=16000 | | `diverse` | lang='uzn', pool_file='cache/hf-1f351fe715.jsonl', budget=16000 | | `diverse` | lang='tat', pool_file='cache/hf-c2a1d6fbcb.jsonl', budget=16000 | | `diverse` | lang='bak', pool_file='cache/hf-b242f3ef58.jsonl', budget=16000 | | `diverse` | lang='chv', pool_file='cache/hf-7e962c6753.jsonl', budget=16000 | | `diverse` | lang='sah', pool_file='cache/hf-0bea6ddfdd.jsonl', budget=16000 | | `diverse` | lang='tyv', pool_file='cache/hf-cd00eaba11.jsonl', budget=16000 | | `hf` | repo='allenai/MADLAD-400', files='data/ce/ce_clean_0000.jsonl.gz', lang='che', raw=True, docs=0, streaming=False, max_chars=512, cyr=0.6 | | `hf` | repo='allenai/MADLAD-400', files='data/ce/ce_noisy_0000.jsonl.gz', lang='che', raw=True, docs=0, streaming=False, max_chars=512, cyr=0.6 | | `hf` | repo='wikimedia/wikipedia', config='20231101.ce', lang='che', docs=30000, per_doc=3 | | `hf` | repo='HPLT/HPLT2.0_cleaned', config='kir_Cyrl', lang='kir', docs=30000, per_doc=4, no_chars='ҕһ' | | `hf` | repo='allenai/MADLAD-400', files='data/ky/ky_clean_0000.jsonl.gz', lang='kir', raw=True, docs=0, streaming=False, max_chars=512, cyr=0.6 | | `hf` | repo='wikimedia/wikipedia', config='20231101.ky', lang='kir', docs=10000, per_doc=4 | | `opus` | corpus='GoURMET', src='ky', tgt='ru', lang='kir' | | `hf` | repo='HPLT/HPLT2.0_cleaned', config='tgk_Cyrl', lang='tgk', docs=30000, per_doc=4, no_chars='ўы' | | `hf` | repo='alifbank/Tajik', files='tg_sentences.txt', lang='tgk', raw=True, docs=0, streaming=False, min_chars=20, max_chars=512 | | `hf` | repo='allenai/MADLAD-400', files='data/tg/tg_clean_0000.jsonl.gz', lang='tgk', raw=True, docs=0, streaming=False, max_chars=512, cyr=0.6, no_chars='ўы' | | `hf` | repo='wikimedia/wikipedia', config='20231101.tg', lang='tgk', docs=10000, per_doc=4 | | `fineweb2` | docs_per_lang=3600, per_doc=4, langs='tgk', no_chars='ўы' | | `hf` | repo='tahrirchi/uz-books-v2', files='data/cyr-*.parquet', lang='uzn', docs=30000, per_doc=4 | | `hf` | repo='cis-lmu/Glot500', config='uzb_Cyrl', lang='uzn', raw=True, docs=200000, max_chars=512, cyr=0.6, where='dataset=Earthlings' | | `hf` | repo='vpermilp/lid-sah', config='moderated', lang='sah', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-sah', config='wild', lang='sah', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-tyv', config='moderated', lang='tyv', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-tyv', config='wild', lang='tyv', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-kpv', config='moderated', lang='kpv', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-kpv', config='wild', lang='kpv', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-mhr', config='moderated', lang='mhr', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-mhr', config='wild', lang='mhr', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-oss', config='moderated', lang='oss', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-oss', config='wild', lang='oss', raw=True, docs=0, streaming=False, max_chars=512 | | `hf` | repo='vpermilp/lid-udm', config='wild', lang='udm', raw=True, docs=0, streaming=False, max_chars=512 | | `ukr_tweets` | lang='rus', twitter_lang='ru', min_chars=3, max_chars=19, cyr=0.2, limit=100000, lex_own=3 | | `hf` | repo='Den4ikAI/russian_dialogues', column='question', docs=0, streaming=False, sample=6000, lang='rus', raw=True, min_chars=3, max_chars=19, drop_long=True, cyr=0.6, no_chars='іїєґўәғқңөұүһІЇЄҐЎӘҒҚҢӨҰҮҺ' | | `hf` | repo='Den4ikAI/russian_dialogues', column='answer', docs=0, streaming=False, sample=6000, lang='rus', raw=True, min_chars=3, max_chars=19, drop_long=True, cyr=0.6, no_chars='іїєґўәғқңөұүһІЇЄҐЎӘҒҚҢӨҰҮҺ' | | `hf` | repo='hausmer/dvach_chat', docs=0, streaming=False, sample=12000, lang='rus', raw=True, min_chars=3, max_chars=19, drop_long=True, cyr=0.6, no_chars='іїєґўәғқңөұүһІЇЄҐЎӘҒҚҢӨҰҮҺ' | | `hf` | repo='nyuuzyou/ruforum', docs=1500000, sample=12000, lang='rus', raw=True, min_chars=3, max_chars=19, drop_long=True, cyr=0.6, no_chars='іїєґўәғқңөұүһІЇЄҐЎӘҒҚҢӨҰҮҺ' | The exact spec strings, including option quoting, are in `manifest.json` (`argv`).