Datasets:
File size: 44,868 Bytes
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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 |
|