| --- |
| task_categories: |
| - text-generation |
| language: |
| - en |
| - eng |
| - pt |
| - por |
| - es |
| - spa |
| - fr |
| - fra |
| - zh |
| - cmn |
| - ja |
| - jpn |
| - de |
| - deu |
| - ru |
| - rus |
| - ar |
| - arb |
| - it |
| - ita |
| - pl |
| - pol |
| - ko |
| - kor |
| - vi |
| - vie |
| - code |
| multilinguality: |
| - multilingual |
| pretty_name: Multilingual Tokenizer Benchmark |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: "**/*.jsonl.gz" |
| - config_name: en |
| data_files: |
| - split: train |
| path: en/*.jsonl.gz |
| - config_name: pt |
| data_files: |
| - split: train |
| path: pt/*.jsonl.gz |
| - config_name: es |
| data_files: |
| - split: train |
| path: es/*.jsonl.gz |
| - config_name: fr |
| data_files: |
| - split: train |
| path: fr/*.jsonl.gz |
| - config_name: zh |
| data_files: |
| - split: train |
| path: zh/*.jsonl.gz |
| - config_name: ja |
| data_files: |
| - split: train |
| path: ja/*.jsonl.gz |
| - config_name: de |
| data_files: |
| - split: train |
| path: de/*.jsonl.gz |
| - config_name: ru |
| data_files: |
| - split: train |
| path: ru/*.jsonl.gz |
| - config_name: ar |
| data_files: |
| - split: train |
| path: ar/*.jsonl.gz |
| - config_name: it |
| data_files: |
| - split: train |
| path: it/*.jsonl.gz |
| - config_name: pl |
| data_files: |
| - split: train |
| path: pl/*.jsonl.gz |
| - config_name: ko |
| data_files: |
| - split: train |
| path: ko/*.jsonl.gz |
| - config_name: code |
| data_files: |
| - split: train |
| path: code/*.jsonl.gz |
| - config_name: vi |
| data_files: |
| - split: train |
| path: vi/*.jsonl.gz |
| source_datasets: |
| - bigcode/the-stack-smol |
| - badranx/opus_raw |
| - HuggingFaceFW/fineweb-2 |
| - sebastiandizon/genius-song-lyrics |
| - rntc/pubmed_preprocess |
| - wikimedia/wikipedia |
| - joelniklaus/Multi_Legal_Pile |
| - almanach/HALvest |
| - premio-ai/TheArabicPile_Medical |
| - ImruQays/Rasaif-Classical-Arabic-English-Parallel-texts |
| - asas-ai/financial_news |
| - bigscience-data/roots_ar_ted_talks_iwslt |
| - premio-ai/TheArabicPile_Lyrics |
| - AIR-Bench/qa_news_ar |
| - premio-ai/TheArabicPile_Poetry |
| - bigscience-data/roots_ar_wikipedia |
| - bigcode/starcoderdata |
| - AIR-Bench/qa_news_de |
| - orionweller/books_mds_incremental |
| - ElKulako/stocktwits-emoji |
| - Orion-zhen/dpo-codealpaca-emoji |
| - Orion-zhen/dpo-mathinstuct-emoji |
| - Orion-zhen/dpo-physical-reasoning-emoji |
| - AIR-Bench/qa_finance_en |
| - bigscience-data/roots_en_ted_talks_iwslt |
| - orionweller/cc_news_mds_incremental |
| - DanFosing/public-domain-poetry |
| - orionweller/arxiv_mds_incremental |
| - orionweller/pes2o_mds_incremental |
| - orionweller/reddit_mds_incremental |
| - HuggingFaceFW/fineweb |
| - orionweller/wikipedia_mds_incremental |
| - jorgeortizfuentes/spanish_books |
| - bigscience-data/roots_es_ted_talks_iwslt |
| - LeoCordoba/CC-NEWS-ES |
| - andreamorgar/spanish_poetry |
| - jorge-henao/disco_poetry_spanish |
| - eduagarcia/scielo_abstracts |
| - Arconte/Dominican_reddit_raw_corpus |
| - bigscience-data/roots_es_wikipedia |
| - AIR-Bench/qa_finance_fr |
| - bigscience-data/roots_fr_ted_talks_iwslt |
| - AIR-Bench/qa_news_fr |
| - kamarko/ccnews-french-subset |
| - manu/french_poetry |
| - bigscience-data/roots_fr_wikipedia |
| - HiTZ/Multilingual-Medical-Corpus |
| - globis-university/aozorabunko-clean |
| - geniacllm/hanrei |
| - kajuma/CC-news-2024-July-October-cleaned |
| - p1atdev/modern_haiku |
| - kunishou/J-ResearchCorpus |
| - p1atdev/open2ch |
| - BCCard/BCCard-Finance-Kor-QnA |
| - jihye-moon/klac_legal_aid_counseling |
| - joonhok-exo-ai/korean_law_open_data_precedents |
| - AIR-Bench/qa_news_ko |
| - daekeun-ml/naver-news-summarization-ko |
| - werty1248/Korea-Related-Reddit-comments |
| - werty1248/Korea-Related-Reddit-posts |
| - WiktorS/polish-news |
| - winterkitsune/elka-pl-news |
| - eduagarcia/pd_books_pt |
| - eduagarcia/LegalPT_dedup |
| - bigscience-data/roots_pt_ted_talks_iwslt |
| - eduagarcia/cc_news_pt_v2 |
| - eduagarcia/scielo_papers |
| - carolina-c4ai/corpus-carolina |
| - tallesl/quinquilharia |
| - bigscience-data/roots_pt_wikipedia |
| - blinoff/medical_qa_ru_data |
| - sevenreasons/genius-lyrics-russian |
| - AIR-Bench/qa_news_ru |
| - IlyaGusev/ru_news |
| - 0x7o/poemma-10k |
| - AnyaSchen/russian_poetry_with_keywords |
| - mlsa-iai-msu-lab/ru_sci_bench |
| - VietAI/vi_pubmed |
| - bigscience-data/roots_vi_ted_talks_iwslt |
| - bigscience-data/roots_vi_binhvq_news_corpus |
| - bigscience-data/roots_vi_vietnamese_poetry |
| - DavidLanz/medical_pretrain |
| - Orion-zhen/dpo-emoji-zh |
| - Orion-zhen/dpo-ruozhiba-emoji |
| - shareAI/DPO-zh-en-emoji |
| - Duxiaoman-DI/FinCorpus |
| - TigerResearch/tigerbot-law-plugin |
| - bigscience-data/roots_zh_ted_talks_iwslt |
| - dirtycomputer/chinese_lyrics |
| - AIR-Bench/qa_news_zh |
| - liswei/news-collection-zhtw |
| - erhwenkuo/poetry-chinese-zhtw |
| - bigscience-data/roots_zh-cn_wikipedia |
| --- |
| # Multilingual Tokenizer Benchmark |
|
|
|
|
| More details of each subset like word count, character count, original sources, etc, can be found in the [dataset_meta.yaml](dataset_meta.yaml) file in the repository root. |
|
|
|
|
| ### Natural language word count functions |
| Download spacy models |
| ```bash |
| pip install ntlk spacy pygments underthesea camel-tools |
| |
| python -m spacy download ko_core_news_sm |
| python -m spacy download ja_core_news_sm |
| python -m spacy download zh_core_web_sm |
| ``` |
|
|
| ```python |
| import nltk |
| nltk.download('punkt_tab') |
| nltk.download('words') |
| from nltk import word_tokenize as word_tokenize_nltk |
| from underthesea import word_tokenize as word_tokenize_underthesea |
| from camel_tools.tokenizers.word import simple_word_tokenize as word_tokenize_camel_tools |
| import spacy |
| |
| langs_nltk = { |
| 'en': 'english', |
| 'pt': 'portuguese', |
| 'it': 'italian', |
| 'pl': 'polish', |
| 'de': 'german', |
| 'es': 'spanish', |
| 'fr': 'french', |
| 'ru': 'russian', |
| } |
| |
| langs_spacy = { |
| 'ja': spacy.load('ja_core_news_sm', disable=['parser', 'ner', 'lemmatizer', 'tagger', 'attribute_ruler']), |
| 'zh': spacy.load('zh_core_web_sm', disable=['parser', 'ner', 'lemmatizer', 'tagger', 'attribute_ruler']), |
| 'ko': spacy.load('ko_core_news_sm', disable=['parser', 'ner', 'lemmatizer', 'tagger', 'attribute_ruler']), |
| } |
| |
| def word_tokenize_spacy(text, model): |
| doc = model(text) |
| return [token.text for token in doc if not token.is_space] |
| |
| def word_tokenize(text, language): |
| if language in langs_spacy: |
| return word_tokenize_spacy(text, langs_spacy[language]) |
| elif language in langs_nltk: |
| return word_tokenize_nltk(text, langs_nltk[language]) |
| elif language == 'vi': |
| return word_tokenize_underthesea(text) |
| elif language == 'ar': |
| return word_tokenize_camel_tools(text) |
| else: |
| raise ValueError(f"Language {language} not supported") |
| |
| #### Usage Example #### |
| word_count_pt = len(word_tokenize("Olá Mundo.", 'pt')) |
| word_count_ko = len(word_tokenize("이것은 한국어 문장입니다.", 'ko')) |
| ``` |
|
|
| ### Code word count function |
| ```python |
| import nltk |
| nltk.download('punkt_tab') |
| from nltk import word_tokenize |
| |
| from pygments import lex |
| from pygments.lexers import get_lexer_by_name |
| from pygments.token import Token |
| |
| NATURAL_LANGUAGE_PARENT_TOKEN_TYPES = { |
| Token.Comment, |
| Token.Literal.String, |
| Token.Text, |
| Token.Generic.Heading, # For Markdown, |
| Token.Generic.Subheading, # For Markdown, |
| Token.Generic.Emph, # For Markdown *italic* |
| Token.Generic.Strong, # For Markdown **bold** |
| Token.Generic.Output, # For shell output, |
| Token.Generic.Error, # Error messages |
| Token.Generic.Traceback, # Traceback messages |
| } |
| |
| def _is_natural_language_like(tok_type) -> bool: |
| for nl_parent_type in NATURAL_LANGUAGE_PARENT_TOKEN_TYPES: |
| if tok_type in nl_parent_type: # This checks if tok_type is nl_parent_type OR a child |
| return True |
| return False |
| |
| def pygments_tokenize(code: str, language: str) -> list[str]: |
| lexer = get_lexer_by_name(language, stripnl=True, stripall=True) |
| tokens = lex(code, lexer) |
| |
| result = [] |
| |
| for tok_type, value in tokens: |
| if _is_natural_language_like(tok_type): |
| # Recursively tokenize comment or string content. Use the default english tokenizer. |
| result.extend(word_tokenize(value)) |
| else: |
| # Tokenize symbol/keyword/identifier at surface level |
| result.append(value) |
| |
| return [t for t in result if t.strip() != ''] |
| |
| #### Usage Example #### |
| word_count_json = len(pygments_tokenize('{"hello": 1}', 'json')) |
| word_count_python = len(pygments_tokenize("lambda x: print('hello')", "python")) |
| ``` |
|
|
| ### Per language stats |
|
|
| | Code | Language | Num. of Domains | Num. of Docs | Num. of Characters | Num. of Words | Num. of Bytes | Data Types | |
| |:-------|:----------------------|------------------:|---------------:|---------------------:|----------------:|----------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------| |
| | code | Programming Languages | 18 | 4260 | 17454895 | 3645230 | 17621590 | C, C++, CSS, Dockerfile, Go, HTML, JSON, Java, JavaScript, Lua, Markdown, PHP, Python, Rust, SQL, Shell, TeX, TypeScript | |
| | en | English | 14 | 8513 | 14087244 | 2812929 | 14177905 | Biomedical, Books, Emoji Heavy, Finance, Legal, Live Speech, Lyrics, News, Poetry, Scientific Papers, Social Networks, Subtitles, Web, Wikipedia | |
| | es | Spanish | 12 | 7739 | 12786745 | 2408966 | 13063395 | Biomedical, Books, Legal, Live Speech, Lyrics, News, Poetry, Scientific Papers, Social Networks, Subtitles, Web, Wikipedia | |
| | fr | French | 11 | 6812 | 11477784 | 2206430 | 11867606 | Biomedical, Finance, Legal, Live Speech, Lyrics, News, Poetry, Scientific Papers, Subtitles, Web, Wikipedia | |
| | pt | Portuguese | 11 | 7709 | 11546654 | 2207307 | 11887461 | Biomedical, Books, Legal, Live Speech, Lyrics, News, Scientific Papers, Social Networks, Subtitles, Web, Wikipedia | |
| | zh | Chinese | 11 | 10769 | 3999493 | 2213799 | 10471916 | Biomedical, Emoji Heavy, Finance, Legal, Live Speech, Lyrics, News, Poetry, Subtitles, Web, Wikipedia | |
| | ar | Arabic | 10 | 12410 | 9909750 | 2005226 | 17685166 | Biomedical, Books, Finance, Live Speech, Lyrics, News, Poetry, Subtitles, Web, Wikipedia | |
| | ja | Japanese | 10 | 11039 | 3801952 | 2008396 | 9717840 | Books, Legal, Lyrics, News, Poetry, Scientific Papers, Social Networks, Subtitles, Web, Wikipedia | |
| | de | German | 8 | 5119 | 11016640 | 1841622 | 11207161 | Biomedical, Legal, Lyrics, News, Scientific Papers, Subtitles, Web, Wikipedia | |
| | ko | Korean | 8 | 9498 | 6060455 | 1602826 | 12532955 | Finance, Legal, Lyrics, News, Social Networks, Subtitles, Web, Wikipedia | |
| | ru | Russian | 8 | 8729 | 9105314 | 1612537 | 16277665 | Biomedical, Lyrics, News, Poetry, Scientific Papers, Subtitles, Web, Wikipedia | |
| | vi | Vietnamese | 8 | 8973 | 8533015 | 1602500 | 10911187 | Biomedical, Live Speech, Lyrics, News, Poetry, Subtitles, Web, Wikipedia | |
| | it | Italian | 7 | 6976 | 7706475 | 1408363 | 7792425 | Biomedical, Legal, Lyrics, Scientific Papers, Subtitles, Web, Wikipedia | |
| | pl | Polish | 6 | 3990 | 7278038 | 1204690 | 7694868 | Legal, Lyrics, News, Subtitles, Web, Wikipedia | |
|
|
| ### Sourced datasets: |
|
|
| | | HF Dataset | Num. Subsets | Languages | Data Types | |
| |---:|:---------------------------------------------------------------------------------------------------------------------------------------------------|--------:|:---------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------| |
| | 0 | [bigcode/the-stack-smol](https://huggingface.co/datasets/bigcode/the-stack-smol) | 17 | code | C, C++, CSS, Dockerfile, Go, HTML, Java, JavaScript, Lua, Markdown, PHP, Python, Rust, SQL, Shell, TeX, TypeScript | |
| | 1 | [badranx/opus_raw](https://huggingface.co/datasets/badranx/opus_raw) | 14 | ar, de, en, es, fr, it, ja, ko, pl, pt, ru, vi, zh | Subtitles | |
| | 2 | [HuggingFaceFW/fineweb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) | 12 | ar, de, es, fr, it, ja, ko, pl, pt, ru, vi, zh | Web | |
| | 3 | [sebastiandizon/genius-song-lyrics](https://huggingface.co/datasets/sebastiandizon/genius-song-lyrics) | 11 | de, en, es, fr, it, ja, ko, pl, pt, vi, zh | Lyrics | |
| | 4 | [rntc/pubmed_preprocess](https://huggingface.co/datasets/rntc/pubmed_preprocess) | 8 | de, en, es, fr, it, pt, ru, zh | Biomedical | |
| | 5 | [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) | 7 | de, it, ja, ko, pl, ru, vi | Wikipedia | |
| | 6 | [joelniklaus/Multi_Legal_Pile](https://huggingface.co/datasets/joelniklaus/Multi_Legal_Pile) | 6 | de, en, es, fr, it, pl | Legal | |
| | 7 | [almanach/HALvest](https://huggingface.co/datasets/almanach/HALvest) | 5 | de, es, fr, it, ru | Scientific Papers | |
| | 8 | [premio-ai/TheArabicPile_Medical](https://huggingface.co/datasets/premio-ai/TheArabicPile_Medical) | 1 | ar | Biomedical | |
| | 9 | [ImruQays/Rasaif-Classical-Arabic-English-Parallel-texts](https://huggingface.co/datasets/ImruQays/Rasaif-Classical-Arabic-English-Parallel-texts) | 1 | ar | Books | |
| | 10 | [asas-ai/financial_news](https://huggingface.co/datasets/asas-ai/financial_news) | 1 | ar | Finance | |
| | 11 | [bigscience-data/roots_ar_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_ar_ted_talks_iwslt) | 1 | ar | Live Speech | |
| | 12 | [premio-ai/TheArabicPile_Lyrics](https://huggingface.co/datasets/premio-ai/TheArabicPile_Lyrics) | 1 | ar | Lyrics | |
| | 13 | [AIR-Bench/qa_news_ar](https://huggingface.co/datasets/AIR-Bench/qa_news_ar) | 1 | ar | News | |
| | 14 | [premio-ai/TheArabicPile_Poetry](https://huggingface.co/datasets/premio-ai/TheArabicPile_Poetry) | 1 | ar | Poetry | |
| | 15 | [bigscience-data/roots_ar_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_ar_wikipedia) | 1 | ar | Wikipedia | |
| | 16 | [bigcode/starcoderdata](https://huggingface.co/datasets/bigcode/starcoderdata) | 1 | code | JSON | |
| | 17 | [AIR-Bench/qa_news_de](https://huggingface.co/datasets/AIR-Bench/qa_news_de) | 1 | de | News | |
| | 18 | [orionweller/books_mds_incremental](https://huggingface.co/datasets/orionweller/books_mds_incremental) | 1 | en | Books | |
| | 19 | [ElKulako/stocktwits-emoji](https://huggingface.co/datasets/ElKulako/stocktwits-emoji) | 1 | en | Emoji Heavy | |
| | 20 | [Orion-zhen/dpo-codealpaca-emoji](https://huggingface.co/datasets/Orion-zhen/dpo-codealpaca-emoji) | 1 | en | Emoji Heavy | |
| | 21 | [Orion-zhen/dpo-mathinstuct-emoji](https://huggingface.co/datasets/Orion-zhen/dpo-mathinstuct-emoji) | 1 | en | Emoji Heavy | |
| | 22 | [Orion-zhen/dpo-physical-reasoning-emoji](https://huggingface.co/datasets/Orion-zhen/dpo-physical-reasoning-emoji) | 1 | en | Emoji Heavy | |
| | 23 | [AIR-Bench/qa_finance_en](https://huggingface.co/datasets/AIR-Bench/qa_finance_en) | 1 | en | Finance | |
| | 24 | [bigscience-data/roots_en_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_en_ted_talks_iwslt) | 1 | en | Live Speech | |
| | 25 | [orionweller/cc_news_mds_incremental](https://huggingface.co/datasets/orionweller/cc_news_mds_incremental) | 1 | en | News | |
| | 26 | [DanFosing/public-domain-poetry](https://huggingface.co/datasets/DanFosing/public-domain-poetry) | 1 | en | Poetry | |
| | 27 | [orionweller/arxiv_mds_incremental](https://huggingface.co/datasets/orionweller/arxiv_mds_incremental) | 1 | en | Scientific Papers | |
| | 28 | [orionweller/pes2o_mds_incremental](https://huggingface.co/datasets/orionweller/pes2o_mds_incremental) | 1 | en | Scientific Papers | |
| | 29 | [orionweller/reddit_mds_incremental](https://huggingface.co/datasets/orionweller/reddit_mds_incremental) | 1 | en | Social Networks | |
| | 30 | [HuggingFaceFW/fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) | 1 | en | Web | |
| | 31 | [orionweller/wikipedia_mds_incremental](https://huggingface.co/datasets/orionweller/wikipedia_mds_incremental) | 1 | en | Wikipedia | |
| | 32 | [jorgeortizfuentes/spanish_books](https://huggingface.co/datasets/jorgeortizfuentes/spanish_books) | 1 | es | Books | |
| | 33 | [bigscience-data/roots_es_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_es_ted_talks_iwslt) | 1 | es | Live Speech | |
| | 34 | [LeoCordoba/CC-NEWS-ES](https://huggingface.co/datasets/LeoCordoba/CC-NEWS-ES) | 1 | es | News | |
| | 35 | [andreamorgar/spanish_poetry](https://huggingface.co/datasets/andreamorgar/spanish_poetry) | 1 | es | Poetry | |
| | 36 | [jorge-henao/disco_poetry_spanish](https://huggingface.co/datasets/jorge-henao/disco_poetry_spanish) | 1 | es | Poetry | |
| | 37 | [eduagarcia/scielo_abstracts](https://huggingface.co/datasets/eduagarcia/scielo_abstracts) | 1 | es | Scientific Papers | |
| | 38 | [Arconte/Dominican_reddit_raw_corpus](https://huggingface.co/datasets/Arconte/Dominican_reddit_raw_corpus) | 1 | es | Social Networks | |
| | 39 | [bigscience-data/roots_es_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_es_wikipedia) | 1 | es | Wikipedia | |
| | 40 | [AIR-Bench/qa_finance_fr](https://huggingface.co/datasets/AIR-Bench/qa_finance_fr) | 1 | fr | Finance | |
| | 41 | [bigscience-data/roots_fr_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_fr_ted_talks_iwslt) | 1 | fr | Live Speech | |
| | 42 | [AIR-Bench/qa_news_fr](https://huggingface.co/datasets/AIR-Bench/qa_news_fr) | 1 | fr | News | |
| | 43 | [kamarko/ccnews-french-subset](https://huggingface.co/datasets/kamarko/ccnews-french-subset) | 1 | fr | News | |
| | 44 | [manu/french_poetry](https://huggingface.co/datasets/manu/french_poetry) | 1 | fr | Poetry | |
| | 45 | [bigscience-data/roots_fr_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_fr_wikipedia) | 1 | fr | Wikipedia | |
| | 46 | [HiTZ/Multilingual-Medical-Corpus](https://huggingface.co/datasets/HiTZ/Multilingual-Medical-Corpus) | 1 | it | Biomedical | |
| | 47 | [globis-university/aozorabunko-clean](https://huggingface.co/datasets/globis-university/aozorabunko-clean) | 1 | ja | Books | |
| | 48 | [geniacllm/hanrei](https://huggingface.co/datasets/geniacllm/hanrei) | 1 | ja | Legal | |
| | 49 | [kajuma/CC-news-2024-July-October-cleaned](https://huggingface.co/datasets/kajuma/CC-news-2024-July-October-cleaned) | 1 | ja | News | |
| | 50 | [p1atdev/modern_haiku](https://huggingface.co/datasets/p1atdev/modern_haiku) | 1 | ja | Poetry | |
| | 51 | [kunishou/J-ResearchCorpus](https://huggingface.co/datasets/kunishou/J-ResearchCorpus) | 1 | ja | Scientific Papers | |
| | 52 | [p1atdev/open2ch](https://huggingface.co/datasets/p1atdev/open2ch) | 1 | ja | Social Networks | |
| | 53 | [BCCard/BCCard-Finance-Kor-QnA](https://huggingface.co/datasets/BCCard/BCCard-Finance-Kor-QnA) | 1 | ko | Finance | |
| | 54 | [jihye-moon/klac_legal_aid_counseling](https://huggingface.co/datasets/jihye-moon/klac_legal_aid_counseling) | 1 | ko | Legal | |
| | 55 | [joonhok-exo-ai/korean_law_open_data_precedents](https://huggingface.co/datasets/joonhok-exo-ai/korean_law_open_data_precedents) | 1 | ko | Legal | |
| | 56 | [AIR-Bench/qa_news_ko](https://huggingface.co/datasets/AIR-Bench/qa_news_ko) | 1 | ko | News | |
| | 57 | [daekeun-ml/naver-news-summarization-ko](https://huggingface.co/datasets/daekeun-ml/naver-news-summarization-ko) | 1 | ko | News | |
| | 58 | [werty1248/Korea-Related-Reddit-comments](https://huggingface.co/datasets/werty1248/Korea-Related-Reddit-comments) | 1 | ko | Social Networks | |
| | 59 | [werty1248/Korea-Related-Reddit-posts](https://huggingface.co/datasets/werty1248/Korea-Related-Reddit-posts) | 1 | ko | Social Networks | |
| | 60 | [WiktorS/polish-news](https://huggingface.co/datasets/WiktorS/polish-news) | 1 | pl | News | |
| | 61 | [winterkitsune/elka-pl-news](https://huggingface.co/datasets/winterkitsune/elka-pl-news) | 1 | pl | News | |
| | 62 | [eduagarcia/pd_books_pt](https://huggingface.co/datasets/eduagarcia/pd_books_pt) | 1 | pt | Books | |
| | 63 | [eduagarcia/LegalPT_dedup](https://huggingface.co/datasets/eduagarcia/LegalPT_dedup) | 1 | pt | Legal | |
| | 64 | [bigscience-data/roots_pt_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_pt_ted_talks_iwslt) | 1 | pt | Live Speech | |
| | 65 | [eduagarcia/cc_news_pt_v2](https://huggingface.co/datasets/eduagarcia/cc_news_pt_v2) | 1 | pt | News | |
| | 66 | [eduagarcia/scielo_papers](https://huggingface.co/datasets/eduagarcia/scielo_papers) | 1 | pt | Scientific Papers | |
| | 67 | [carolina-c4ai/corpus-carolina](https://huggingface.co/datasets/carolina-c4ai/corpus-carolina) | 1 | pt | Social Networks | |
| | 68 | [tallesl/quinquilharia](https://huggingface.co/datasets/tallesl/quinquilharia) | 1 | pt | Social Networks | |
| | 69 | [bigscience-data/roots_pt_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_pt_wikipedia) | 1 | pt | Wikipedia | |
| | 70 | [blinoff/medical_qa_ru_data](https://huggingface.co/datasets/blinoff/medical_qa_ru_data) | 1 | ru | Biomedical | |
| | 71 | [sevenreasons/genius-lyrics-russian](https://huggingface.co/datasets/sevenreasons/genius-lyrics-russian) | 1 | ru | Lyrics | |
| | 72 | [AIR-Bench/qa_news_ru](https://huggingface.co/datasets/AIR-Bench/qa_news_ru) | 1 | ru | News | |
| | 73 | [IlyaGusev/ru_news](https://huggingface.co/datasets/IlyaGusev/ru_news) | 1 | ru | News | |
| | 74 | [0x7o/poemma-10k](https://huggingface.co/datasets/0x7o/poemma-10k) | 1 | ru | Poetry | |
| | 75 | [AnyaSchen/russian_poetry_with_keywords](https://huggingface.co/datasets/AnyaSchen/russian_poetry_with_keywords) | 1 | ru | Poetry | |
| | 76 | [mlsa-iai-msu-lab/ru_sci_bench](https://huggingface.co/datasets/mlsa-iai-msu-lab/ru_sci_bench) | 1 | ru | Scientific Papers | |
| | 77 | [VietAI/vi_pubmed](https://huggingface.co/datasets/VietAI/vi_pubmed) | 1 | vi | Biomedical | |
| | 78 | [bigscience-data/roots_vi_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_vi_ted_talks_iwslt) | 1 | vi | Live Speech | |
| | 79 | [bigscience-data/roots_vi_binhvq_news_corpus](https://huggingface.co/datasets/bigscience-data/roots_vi_binhvq_news_corpus) | 1 | vi | News | |
| | 80 | [bigscience-data/roots_vi_vietnamese_poetry](https://huggingface.co/datasets/bigscience-data/roots_vi_vietnamese_poetry) | 1 | vi | Poetry | |
| | 81 | [DavidLanz/medical_pretrain](https://huggingface.co/datasets/DavidLanz/medical_pretrain) | 1 | zh | Biomedical | |
| | 82 | [Orion-zhen/dpo-emoji-zh](https://huggingface.co/datasets/Orion-zhen/dpo-emoji-zh) | 1 | zh | Emoji Heavy | |
| | 83 | [Orion-zhen/dpo-ruozhiba-emoji](https://huggingface.co/datasets/Orion-zhen/dpo-ruozhiba-emoji) | 1 | zh | Emoji Heavy | |
| | 84 | [shareAI/DPO-zh-en-emoji](https://huggingface.co/datasets/shareAI/DPO-zh-en-emoji) | 1 | zh | Emoji Heavy | |
| | 85 | [Duxiaoman-DI/FinCorpus](https://huggingface.co/datasets/Duxiaoman-DI/FinCorpus) | 1 | zh | Finance | |
| | 86 | [TigerResearch/tigerbot-law-plugin](https://huggingface.co/datasets/TigerResearch/tigerbot-law-plugin) | 1 | zh | Legal | |
| | 87 | [bigscience-data/roots_zh_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_zh_ted_talks_iwslt) | 1 | zh | Live Speech | |
| | 88 | [dirtycomputer/chinese_lyrics](https://huggingface.co/datasets/dirtycomputer/chinese_lyrics) | 1 | zh | Lyrics | |
| | 89 | [AIR-Bench/qa_news_zh](https://huggingface.co/datasets/AIR-Bench/qa_news_zh) | 1 | zh | News | |
| | 90 | [liswei/news-collection-zhtw](https://huggingface.co/datasets/liswei/news-collection-zhtw) | 1 | zh | News | |
| | 91 | [erhwenkuo/poetry-chinese-zhtw](https://huggingface.co/datasets/erhwenkuo/poetry-chinese-zhtw) | 1 | zh | Poetry | |
| | 92 | [bigscience-data/roots_zh-cn_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_zh-cn_wikipedia) | 1 | zh | Wikipedia | |
|
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