Datasets:
Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,360 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
task_categories:
|
| 3 |
+
- text-generation
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
- eng
|
| 7 |
+
- pt
|
| 8 |
+
- por
|
| 9 |
+
- es
|
| 10 |
+
- spa
|
| 11 |
+
- fr
|
| 12 |
+
- fra
|
| 13 |
+
- zh
|
| 14 |
+
- cmn
|
| 15 |
+
- ja
|
| 16 |
+
- jpn
|
| 17 |
+
- de
|
| 18 |
+
- deu
|
| 19 |
+
- ru
|
| 20 |
+
- rus
|
| 21 |
+
- ar
|
| 22 |
+
- arb
|
| 23 |
+
- it
|
| 24 |
+
- ita
|
| 25 |
+
- pl
|
| 26 |
+
- pol
|
| 27 |
+
- ko
|
| 28 |
+
- kor
|
| 29 |
+
- code
|
| 30 |
+
multilinguality:
|
| 31 |
+
- multilingual
|
| 32 |
+
pretty_name: Multilingual Tokenizer Benchmark
|
| 33 |
+
size_categories:
|
| 34 |
+
- 100K<n<1M
|
| 35 |
+
configs:
|
| 36 |
+
- config_name: default
|
| 37 |
+
data_files:
|
| 38 |
+
- split: train
|
| 39 |
+
path: "**/*.jsonl.gz"
|
| 40 |
+
- config_name: en
|
| 41 |
+
data_files:
|
| 42 |
+
- split: train
|
| 43 |
+
path: en/*.jsonl.gz
|
| 44 |
+
- config_name: pt
|
| 45 |
+
data_files:
|
| 46 |
+
- split: train
|
| 47 |
+
path: pt/*.jsonl.gz
|
| 48 |
+
- config_name: es
|
| 49 |
+
data_files:
|
| 50 |
+
- split: train
|
| 51 |
+
path: es/*.jsonl.gz
|
| 52 |
+
- config_name: fr
|
| 53 |
+
data_files:
|
| 54 |
+
- split: train
|
| 55 |
+
path: fr/*.jsonl.gz
|
| 56 |
+
- config_name: zh
|
| 57 |
+
data_files:
|
| 58 |
+
- split: train
|
| 59 |
+
path: zh/*.jsonl.gz
|
| 60 |
+
- config_name: ja
|
| 61 |
+
data_files:
|
| 62 |
+
- split: train
|
| 63 |
+
path: ja/*.jsonl.gz
|
| 64 |
+
- config_name: de
|
| 65 |
+
data_files:
|
| 66 |
+
- split: train
|
| 67 |
+
path: de/*.jsonl.gz
|
| 68 |
+
- config_name: ru
|
| 69 |
+
data_files:
|
| 70 |
+
- split: train
|
| 71 |
+
path: ru/*.jsonl.gz
|
| 72 |
+
- config_name: ar
|
| 73 |
+
data_files:
|
| 74 |
+
- split: train
|
| 75 |
+
path: ar/*.jsonl.gz
|
| 76 |
+
- config_name: it
|
| 77 |
+
data_files:
|
| 78 |
+
- split: train
|
| 79 |
+
path: it/*.jsonl.gz
|
| 80 |
+
- config_name: pl
|
| 81 |
+
data_files:
|
| 82 |
+
- split: train
|
| 83 |
+
path: pl/*.jsonl.gz
|
| 84 |
+
- config_name: ko
|
| 85 |
+
data_files:
|
| 86 |
+
- split: train
|
| 87 |
+
path: ko/*.jsonl.gz
|
| 88 |
+
- config_name: code
|
| 89 |
+
data_files:
|
| 90 |
+
- split: train
|
| 91 |
+
path: code/*.jsonl.gz
|
| 92 |
+
source_datasets:
|
| 93 |
+
- bigcode/the-stack-smol
|
| 94 |
+
- badranx/opus_raw
|
| 95 |
+
- HuggingFaceFW/fineweb-2
|
| 96 |
+
- rntc/pubmed_preprocess
|
| 97 |
+
- joelniklaus/Multi_Legal_Pile
|
| 98 |
+
- wikimedia/wikipedia
|
| 99 |
+
- almanach/HALvest
|
| 100 |
+
- premio-ai/TheArabicPile_Medical
|
| 101 |
+
- ImruQays/Rasaif-Classical-Arabic-English-Parallel-texts
|
| 102 |
+
- bigscience-data/roots_ar_ted_talks_iwslt
|
| 103 |
+
- premio-ai/TheArabicPile_Lyrics
|
| 104 |
+
- AIR-Bench/qa_news_ar
|
| 105 |
+
- premio-ai/TheArabicPile_Poetry
|
| 106 |
+
- bigscience-data/roots_ar_wikipedia
|
| 107 |
+
- bigcode/starcoderdata
|
| 108 |
+
- AIR-Bench/qa_news_de
|
| 109 |
+
- orionweller/books_mds_incremental
|
| 110 |
+
- ElKulako/stocktwits-emoji
|
| 111 |
+
- Orion-zhen/dpo-codealpaca-emoji
|
| 112 |
+
- Orion-zhen/dpo-mathinstuct-emoji
|
| 113 |
+
- Orion-zhen/dpo-physical-reasoning-emoji
|
| 114 |
+
- AIR-Bench/qa_finance_en
|
| 115 |
+
- bigscience-data/roots_en_ted_talks_iwslt
|
| 116 |
+
- orionweller/cc_news_mds_incremental
|
| 117 |
+
- orionweller/arxiv_mds_incremental
|
| 118 |
+
- orionweller/pes2o_mds_incremental
|
| 119 |
+
- orionweller/reddit_mds_incremental
|
| 120 |
+
- HuggingFaceFW/fineweb
|
| 121 |
+
- orionweller/wikipedia_mds_incremental
|
| 122 |
+
- jorgeortizfuentes/spanish_books
|
| 123 |
+
- bigscience-data/roots_es_ted_talks_iwslt
|
| 124 |
+
- LeoCordoba/CC-NEWS-ES
|
| 125 |
+
- eduagarcia/scielo_abstracts
|
| 126 |
+
- bigscience-data/roots_es_wikipedia
|
| 127 |
+
- AIR-Bench/qa_finance_fr
|
| 128 |
+
- bigscience-data/roots_fr_ted_talks_iwslt
|
| 129 |
+
- AIR-Bench/qa_news_fr
|
| 130 |
+
- kamarko/ccnews-french-subset
|
| 131 |
+
- bigscience-data/roots_fr_wikipedia
|
| 132 |
+
- HiTZ/Multilingual-Medical-Corpus
|
| 133 |
+
- globis-university/aozorabunko-clean
|
| 134 |
+
- p1atdev/modern_haiku
|
| 135 |
+
- geniacllm/hanrei
|
| 136 |
+
- kajuma/CC-news-2024-July-October-cleaned
|
| 137 |
+
- kunishou/J-ResearchCorpus
|
| 138 |
+
- BCCard/BCCard-Finance-Kor-QnA
|
| 139 |
+
- jihye-moon/klac_legal_aid_counseling
|
| 140 |
+
- joonhok-exo-ai/korean_law_open_data_precedents
|
| 141 |
+
- AIR-Bench/qa_news_ko
|
| 142 |
+
- daekeun-ml/naver-news-summarization-ko
|
| 143 |
+
- WiktorS/polish-news
|
| 144 |
+
- winterkitsune/elka-pl-news
|
| 145 |
+
- eduagarcia/pd_books_pt
|
| 146 |
+
- eduagarcia/LegalPT_dedup
|
| 147 |
+
- bigscience-data/roots_pt_ted_talks_iwslt
|
| 148 |
+
- eduagarcia/cc_news_pt_v2
|
| 149 |
+
- eduagarcia/scielo_papers
|
| 150 |
+
- carolina-c4ai/corpus-carolina
|
| 151 |
+
- tallesl/quinquilharia
|
| 152 |
+
- bigscience-data/roots_pt_wikipedia
|
| 153 |
+
- blinoff/medical_qa_ru_data
|
| 154 |
+
- AIR-Bench/qa_news_ru
|
| 155 |
+
- IlyaGusev/ru_news
|
| 156 |
+
- mlsa-iai-msu-lab/ru_sci_bench
|
| 157 |
+
- DavidLanz/medical_pretrain
|
| 158 |
+
- Orion-zhen/dpo-emoji-zh
|
| 159 |
+
- Orion-zhen/dpo-ruozhiba-emoji
|
| 160 |
+
- shareAI/DPO-zh-en-emoji
|
| 161 |
+
- Duxiaoman-DI/FinCorpus
|
| 162 |
+
- TigerResearch/tigerbot-law-plugin
|
| 163 |
+
- bigscience-data/roots_zh_ted_talks_iwslt
|
| 164 |
+
- AIR-Bench/qa_news_zh
|
| 165 |
+
- liswei/news-collection-zhtw
|
| 166 |
+
- bigscience-data/roots_zh-cn_wikipedia
|
| 167 |
+
---
|
| 168 |
+
# Multilingual Tokenizer Benchmark
|
| 169 |
+
|
| 170 |
+
|
| 171 |
+
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.
|
| 172 |
+
|
| 173 |
+
|
| 174 |
+
### Natural language word count functions
|
| 175 |
+
Download spacy models
|
| 176 |
+
```bash
|
| 177 |
+
python -m spacy download ko_core_news_sm
|
| 178 |
+
python -m spacy download ja_core_news_sm
|
| 179 |
+
python -m spacy download zh_core_web_sm
|
| 180 |
+
```
|
| 181 |
+
|
| 182 |
+
```python
|
| 183 |
+
import nltk
|
| 184 |
+
nltk.download('punkt_tab')
|
| 185 |
+
from nltk import word_tokenize
|
| 186 |
+
import spacy
|
| 187 |
+
|
| 188 |
+
langs_nltk = {
|
| 189 |
+
'en': 'english',
|
| 190 |
+
'pt': 'portuguese',
|
| 191 |
+
'it': 'italian',
|
| 192 |
+
'pl': 'polish',
|
| 193 |
+
'de': 'german',
|
| 194 |
+
'es': 'spanish',
|
| 195 |
+
'fr': 'french',
|
| 196 |
+
'ru': 'russian',
|
| 197 |
+
'ar': 'english' # Arabic will use the default config from nltk.word_tokenize
|
| 198 |
+
}
|
| 199 |
+
|
| 200 |
+
langs_spacy = {
|
| 201 |
+
'ja': spacy.load('ja_core_news_sm', disable=['parser', 'ner', 'lemmatizer', 'tagger', 'attribute_ruler']),
|
| 202 |
+
'zh': spacy.load('zh_core_web_sm', disable=['parser', 'ner', 'lemmatizer', 'tagger', 'attribute_ruler']),
|
| 203 |
+
'ko': spacy.load('ko_core_news_sm', disable=['parser', 'ner', 'lemmatizer', 'tagger', 'attribute_ruler']),
|
| 204 |
+
}
|
| 205 |
+
|
| 206 |
+
def word_tokenize_spacy(text, model):
|
| 207 |
+
doc = model(text)
|
| 208 |
+
return [token.text for token in doc if not token.is_space]
|
| 209 |
+
|
| 210 |
+
#### Usage Example ####
|
| 211 |
+
word_count_pt = len(word_tokenize("Olá Mundo.", langs_nltk['pt']))
|
| 212 |
+
word_count_ko = len(word_tokenize_spacy("이것은 한국어 문장입니다.", langs_spacy['ko']))
|
| 213 |
+
```
|
| 214 |
+
|
| 215 |
+
### Code word count function
|
| 216 |
+
```python
|
| 217 |
+
import nltk
|
| 218 |
+
nltk.download('punkt_tab')
|
| 219 |
+
from nltk import word_tokenize
|
| 220 |
+
|
| 221 |
+
from pygments import lex
|
| 222 |
+
from pygments.lexers import get_lexer_by_name
|
| 223 |
+
from pygments.token import Token
|
| 224 |
+
|
| 225 |
+
NATURAL_LANGUAGE_PARENT_TOKEN_TYPES = {
|
| 226 |
+
Token.Comment,
|
| 227 |
+
Token.Literal.String,
|
| 228 |
+
Token.Text,
|
| 229 |
+
Token.Generic.Heading, # For Markdown,
|
| 230 |
+
Token.Generic.Subheading, # For Markdown,
|
| 231 |
+
Token.Generic.Emph, # For Markdown *italic*
|
| 232 |
+
Token.Generic.Strong, # For Markdown **bold**
|
| 233 |
+
Token.Generic.Output, # For shell output,
|
| 234 |
+
Token.Generic.Error, # Error messages
|
| 235 |
+
Token.Generic.Traceback, # Traceback messages
|
| 236 |
+
}
|
| 237 |
+
|
| 238 |
+
def _is_natural_language_like(tok_type) -> bool:
|
| 239 |
+
for nl_parent_type in NATURAL_LANGUAGE_PARENT_TOKEN_TYPES:
|
| 240 |
+
if tok_type in nl_parent_type: # This checks if tok_type is nl_parent_type OR a child
|
| 241 |
+
return True
|
| 242 |
+
return False
|
| 243 |
+
|
| 244 |
+
def pygments_tokenize(code: str, language: str) -> list[str]:
|
| 245 |
+
lexer = get_lexer_by_name(language, stripnl=True, stripall=True)
|
| 246 |
+
tokens = lex(code, lexer)
|
| 247 |
+
|
| 248 |
+
result = []
|
| 249 |
+
|
| 250 |
+
for tok_type, value in tokens:
|
| 251 |
+
if _is_natural_language_like(tok_type):
|
| 252 |
+
# Recursively tokenize comment or string content. Use the default english tokenizer.
|
| 253 |
+
result.extend(word_tokenize(value))
|
| 254 |
+
else:
|
| 255 |
+
# Tokenize symbol/keyword/identifier at surface level
|
| 256 |
+
result.append(value)
|
| 257 |
+
|
| 258 |
+
return [t for t in result if t.strip() != '']
|
| 259 |
+
|
| 260 |
+
#### Usage Example ####
|
| 261 |
+
word_count_json = len(pygments_tokenize('{"hello": 1}', 'json'))
|
| 262 |
+
word_count_python = len(pygments_tokenize("lambda x: print('hello')", "python"))
|
| 263 |
+
```
|
| 264 |
+
|
| 265 |
+
### Per language stats
|
| 266 |
+
|
| 267 |
+
| Code | Language | Num. of Subsets | Num. of Docs | Num. of Characters | Num. of Words | Data Types |
|
| 268 |
+
|:-------|:----------------------|------------------:|---------------:|---------------------:|----------------:|:---------------------------------------------------------------------------------------------------------------------------------|
|
| 269 |
+
| code | Programming Languages | 18 | 19820 | 90121858 | 18976907 | C, C++, CSS, Dockerfile, Go, HTML, JSON, Java, JavaScript, Lua, Markdown, PHP, Python, Rust, SQL, Shell, TeX, TypeScript |
|
| 270 |
+
| en | English | 12 | 38155 | 61999845 | 12361906 | Biomedical, Books, Emoji Heavy, Finance, Legal, Live Speech, News, Scientific Papers, Social Networks, Subtitles, Web, Wikipedia |
|
| 271 |
+
| pt | Portuguese | 10 | 30528 | 50195889 | 9603267 | Biomedical, Books, Legal, Live Speech, News, Scientific Papers, Social Networks, Subtitles, Web, Wikipedia |
|
| 272 |
+
| ar | Arabic | 9 | 50539 | 45233908 | 8911565 | Biomedical, Books, Live Speech, Lyrics, News, Poetry, Subtitles, Web, Wikipedia |
|
| 273 |
+
| es | Spanish | 9 | 25315 | 45168212 | 8420656 | Biomedical, Books, Legal, Live Speech, News, Scientific Papers, Subtitles, Web, Wikipedia |
|
| 274 |
+
| fr | French | 9 | 26934 | 45185903 | 8594454 | Biomedical, Finance, Legal, Live Speech, News, Scientific Papers, Subtitles, Web, Wikipedia |
|
| 275 |
+
| zh | Chinese | 9 | 47627 | 43209186 | 24276657 | Biomedical, Emoji Heavy, Finance, Legal, Live Speech, News, Subtitles, Web, Wikipedia |
|
| 276 |
+
| ja | Japanese | 8 | 35950 | 35945203 | 19903904 | Books, Haiku, Legal, News, Scientific Papers, Subtitles, Web, Wikipedia |
|
| 277 |
+
| de | German | 7 | 19740 | 35215590 | 5876322 | Biomedical, Legal, News, Scientific Papers, Subtitles, Web, Wikipedia |
|
| 278 |
+
| it | Italian | 6 | 29414 | 30160296 | 5462293 | Biomedical, Legal, Scientific Papers, Subtitles, Web, Wikipedia |
|
| 279 |
+
| ko | Korean | 6 | 28795 | 30376957 | 8362948 | Finance, Legal, News, Subtitles, Web, Wikipedia |
|
| 280 |
+
| ru | Russian | 6 | 24329 | 30360746 | 5250785 | Biomedical, News, Scientific Papers, Subtitles, Web, Wikipedia |
|
| 281 |
+
| pl | Polish | 5 | 15763 | 25168261 | 4131439 | Legal, News, Subtitles, Web, Wikipedia |
|
| 282 |
+
|
| 283 |
+
### Sourced datasets:
|
| 284 |
+
|
| 285 |
+
| | HF Dataset | Num. Subsets | Languages | Data Types |
|
| 286 |
+
|---:|:---------------------------------------------------------------------------------------------------------------------------------------------------|--------:|:-----------------------------------------------|:-------------------------------------------------------------------------------------------------------------------|
|
| 287 |
+
| 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 |
|
| 288 |
+
| 1 | [badranx/opus_raw](https://huggingface.co/datasets/badranx/opus_raw) | 13 | ar, de, en, es, fr, it, ja, ko, pl, pt, ru, zh | Subtitles |
|
| 289 |
+
| 2 | [HuggingFaceFW/fineweb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) | 11 | ar, de, es, fr, it, ja, ko, pl, pt, ru, zh | Web |
|
| 290 |
+
| 3 | [rntc/pubmed_preprocess](https://huggingface.co/datasets/rntc/pubmed_preprocess) | 8 | de, en, es, fr, it, pt, ru, zh | Biomedical |
|
| 291 |
+
| 4 | [joelniklaus/Multi_Legal_Pile](https://huggingface.co/datasets/joelniklaus/Multi_Legal_Pile) | 6 | de, en, es, fr, it, pl | Legal |
|
| 292 |
+
| 5 | [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) | 6 | de, it, ja, ko, pl, ru | Wikipedia |
|
| 293 |
+
| 6 | [almanach/HALvest](https://huggingface.co/datasets/almanach/HALvest) | 5 | de, es, fr, it, ru | Scientific Papers |
|
| 294 |
+
| 7 | [premio-ai/TheArabicPile_Medical](https://huggingface.co/datasets/premio-ai/TheArabicPile_Medical) | 1 | ar | Biomedical |
|
| 295 |
+
| 8 | [ImruQays/Rasaif-Classical-Arabic-English-Parallel-texts](https://huggingface.co/datasets/ImruQays/Rasaif-Classical-Arabic-English-Parallel-texts) | 1 | ar | Books |
|
| 296 |
+
| 9 | [bigscience-data/roots_ar_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_ar_ted_talks_iwslt) | 1 | ar | Live Speech |
|
| 297 |
+
| 10 | [premio-ai/TheArabicPile_Lyrics](https://huggingface.co/datasets/premio-ai/TheArabicPile_Lyrics) | 1 | ar | Lyrics |
|
| 298 |
+
| 11 | [AIR-Bench/qa_news_ar](https://huggingface.co/datasets/AIR-Bench/qa_news_ar) | 1 | ar | News |
|
| 299 |
+
| 12 | [premio-ai/TheArabicPile_Poetry](https://huggingface.co/datasets/premio-ai/TheArabicPile_Poetry) | 1 | ar | Poetry |
|
| 300 |
+
| 13 | [bigscience-data/roots_ar_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_ar_wikipedia) | 1 | ar | Wikipedia |
|
| 301 |
+
| 14 | [bigcode/starcoderdata](https://huggingface.co/datasets/bigcode/starcoderdata) | 1 | code | JSON |
|
| 302 |
+
| 15 | [AIR-Bench/qa_news_de](https://huggingface.co/datasets/AIR-Bench/qa_news_de) | 1 | de | News |
|
| 303 |
+
| 16 | [orionweller/books_mds_incremental](https://huggingface.co/datasets/orionweller/books_mds_incremental) | 1 | en | Books |
|
| 304 |
+
| 17 | [ElKulako/stocktwits-emoji](https://huggingface.co/datasets/ElKulako/stocktwits-emoji) | 1 | en | Emoji Heavy |
|
| 305 |
+
| 18 | [Orion-zhen/dpo-codealpaca-emoji](https://huggingface.co/datasets/Orion-zhen/dpo-codealpaca-emoji) | 1 | en | Emoji Heavy |
|
| 306 |
+
| 19 | [Orion-zhen/dpo-mathinstuct-emoji](https://huggingface.co/datasets/Orion-zhen/dpo-mathinstuct-emoji) | 1 | en | Emoji Heavy |
|
| 307 |
+
| 20 | [Orion-zhen/dpo-physical-reasoning-emoji](https://huggingface.co/datasets/Orion-zhen/dpo-physical-reasoning-emoji) | 1 | en | Emoji Heavy |
|
| 308 |
+
| 21 | [AIR-Bench/qa_finance_en](https://huggingface.co/datasets/AIR-Bench/qa_finance_en) | 1 | en | Finance |
|
| 309 |
+
| 22 | [bigscience-data/roots_en_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_en_ted_talks_iwslt) | 1 | en | Live Speech |
|
| 310 |
+
| 23 | [orionweller/cc_news_mds_incremental](https://huggingface.co/datasets/orionweller/cc_news_mds_incremental) | 1 | en | News |
|
| 311 |
+
| 24 | [orionweller/arxiv_mds_incremental](https://huggingface.co/datasets/orionweller/arxiv_mds_incremental) | 1 | en | Scientific Papers |
|
| 312 |
+
| 25 | [orionweller/pes2o_mds_incremental](https://huggingface.co/datasets/orionweller/pes2o_mds_incremental) | 1 | en | Scientific Papers |
|
| 313 |
+
| 26 | [orionweller/reddit_mds_incremental](https://huggingface.co/datasets/orionweller/reddit_mds_incremental) | 1 | en | Social Networks |
|
| 314 |
+
| 27 | [HuggingFaceFW/fineweb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) | 1 | en | Web |
|
| 315 |
+
| 28 | [orionweller/wikipedia_mds_incremental](https://huggingface.co/datasets/orionweller/wikipedia_mds_incremental) | 1 | en | Wikipedia |
|
| 316 |
+
| 29 | [jorgeortizfuentes/spanish_books](https://huggingface.co/datasets/jorgeortizfuentes/spanish_books) | 1 | es | Books |
|
| 317 |
+
| 30 | [bigscience-data/roots_es_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_es_ted_talks_iwslt) | 1 | es | Live Speech |
|
| 318 |
+
| 31 | [LeoCordoba/CC-NEWS-ES](https://huggingface.co/datasets/LeoCordoba/CC-NEWS-ES) | 1 | es | News |
|
| 319 |
+
| 32 | [eduagarcia/scielo_abstracts](https://huggingface.co/datasets/eduagarcia/scielo_abstracts) | 1 | es | Scientific Papers |
|
| 320 |
+
| 33 | [bigscience-data/roots_es_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_es_wikipedia) | 1 | es | Wikipedia |
|
| 321 |
+
| 34 | [AIR-Bench/qa_finance_fr](https://huggingface.co/datasets/AIR-Bench/qa_finance_fr) | 1 | fr | Finance |
|
| 322 |
+
| 35 | [bigscience-data/roots_fr_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_fr_ted_talks_iwslt) | 1 | fr | Live Speech |
|
| 323 |
+
| 36 | [AIR-Bench/qa_news_fr](https://huggingface.co/datasets/AIR-Bench/qa_news_fr) | 1 | fr | News |
|
| 324 |
+
| 37 | [kamarko/ccnews-french-subset](https://huggingface.co/datasets/kamarko/ccnews-french-subset) | 1 | fr | News |
|
| 325 |
+
| 38 | [bigscience-data/roots_fr_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_fr_wikipedia) | 1 | fr | Wikipedia |
|
| 326 |
+
| 39 | [HiTZ/Multilingual-Medical-Corpus](https://huggingface.co/datasets/HiTZ/Multilingual-Medical-Corpus) | 1 | it | Biomedical |
|
| 327 |
+
| 40 | [globis-university/aozorabunko-clean](https://huggingface.co/datasets/globis-university/aozorabunko-clean) | 1 | ja | Books |
|
| 328 |
+
| 41 | [p1atdev/modern_haiku](https://huggingface.co/datasets/p1atdev/modern_haiku) | 1 | ja | Haiku |
|
| 329 |
+
| 42 | [geniacllm/hanrei](https://huggingface.co/datasets/geniacllm/hanrei) | 1 | ja | Legal |
|
| 330 |
+
| 43 | [kajuma/CC-news-2024-July-October-cleaned](https://huggingface.co/datasets/kajuma/CC-news-2024-July-October-cleaned) | 1 | ja | News |
|
| 331 |
+
| 44 | [kunishou/J-ResearchCorpus](https://huggingface.co/datasets/kunishou/J-ResearchCorpus) | 1 | ja | Scientific Papers |
|
| 332 |
+
| 45 | [BCCard/BCCard-Finance-Kor-QnA](https://huggingface.co/datasets/BCCard/BCCard-Finance-Kor-QnA) | 1 | ko | Finance |
|
| 333 |
+
| 46 | [jihye-moon/klac_legal_aid_counseling](https://huggingface.co/datasets/jihye-moon/klac_legal_aid_counseling) | 1 | ko | Legal |
|
| 334 |
+
| 47 | [joonhok-exo-ai/korean_law_open_data_precedents](https://huggingface.co/datasets/joonhok-exo-ai/korean_law_open_data_precedents) | 1 | ko | Legal |
|
| 335 |
+
| 48 | [AIR-Bench/qa_news_ko](https://huggingface.co/datasets/AIR-Bench/qa_news_ko) | 1 | ko | News |
|
| 336 |
+
| 49 | [daekeun-ml/naver-news-summarization-ko](https://huggingface.co/datasets/daekeun-ml/naver-news-summarization-ko) | 1 | ko | News |
|
| 337 |
+
| 50 | [WiktorS/polish-news](https://huggingface.co/datasets/WiktorS/polish-news) | 1 | pl | News |
|
| 338 |
+
| 51 | [winterkitsune/elka-pl-news](https://huggingface.co/datasets/winterkitsune/elka-pl-news) | 1 | pl | News |
|
| 339 |
+
| 52 | [eduagarcia/pd_books_pt](https://huggingface.co/datasets/eduagarcia/pd_books_pt) | 1 | pt | Books |
|
| 340 |
+
| 53 | [eduagarcia/LegalPT_dedup](https://huggingface.co/datasets/eduagarcia/LegalPT_dedup) | 1 | pt | Legal |
|
| 341 |
+
| 54 | [bigscience-data/roots_pt_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_pt_ted_talks_iwslt) | 1 | pt | Live Speech |
|
| 342 |
+
| 55 | [eduagarcia/cc_news_pt_v2](https://huggingface.co/datasets/eduagarcia/cc_news_pt_v2) | 1 | pt | News |
|
| 343 |
+
| 56 | [eduagarcia/scielo_papers](https://huggingface.co/datasets/eduagarcia/scielo_papers) | 1 | pt | Scientific Papers |
|
| 344 |
+
| 57 | [carolina-c4ai/corpus-carolina](https://huggingface.co/datasets/carolina-c4ai/corpus-carolina) | 1 | pt | Social Networks |
|
| 345 |
+
| 58 | [tallesl/quinquilharia](https://huggingface.co/datasets/tallesl/quinquilharia) | 1 | pt | Social Networks |
|
| 346 |
+
| 59 | [bigscience-data/roots_pt_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_pt_wikipedia) | 1 | pt | Wikipedia |
|
| 347 |
+
| 60 | [blinoff/medical_qa_ru_data](https://huggingface.co/datasets/blinoff/medical_qa_ru_data) | 1 | ru | Biomedical |
|
| 348 |
+
| 61 | [AIR-Bench/qa_news_ru](https://huggingface.co/datasets/AIR-Bench/qa_news_ru) | 1 | ru | News |
|
| 349 |
+
| 62 | [IlyaGusev/ru_news](https://huggingface.co/datasets/IlyaGusev/ru_news) | 1 | ru | News |
|
| 350 |
+
| 63 | [mlsa-iai-msu-lab/ru_sci_bench](https://huggingface.co/datasets/mlsa-iai-msu-lab/ru_sci_bench) | 1 | ru | Scientific Papers |
|
| 351 |
+
| 64 | [DavidLanz/medical_pretrain](https://huggingface.co/datasets/DavidLanz/medical_pretrain) | 1 | zh | Biomedical |
|
| 352 |
+
| 65 | [Orion-zhen/dpo-emoji-zh](https://huggingface.co/datasets/Orion-zhen/dpo-emoji-zh) | 1 | zh | Emoji Heavy |
|
| 353 |
+
| 66 | [Orion-zhen/dpo-ruozhiba-emoji](https://huggingface.co/datasets/Orion-zhen/dpo-ruozhiba-emoji) | 1 | zh | Emoji Heavy |
|
| 354 |
+
| 67 | [shareAI/DPO-zh-en-emoji](https://huggingface.co/datasets/shareAI/DPO-zh-en-emoji) | 1 | zh | Emoji Heavy |
|
| 355 |
+
| 68 | [Duxiaoman-DI/FinCorpus](https://huggingface.co/datasets/Duxiaoman-DI/FinCorpus) | 1 | zh | Finance |
|
| 356 |
+
| 69 | [TigerResearch/tigerbot-law-plugin](https://huggingface.co/datasets/TigerResearch/tigerbot-law-plugin) | 1 | zh | Legal |
|
| 357 |
+
| 70 | [bigscience-data/roots_zh_ted_talks_iwslt](https://huggingface.co/datasets/bigscience-data/roots_zh_ted_talks_iwslt) | 1 | zh | Live Speech |
|
| 358 |
+
| 71 | [AIR-Bench/qa_news_zh](https://huggingface.co/datasets/AIR-Bench/qa_news_zh) | 1 | zh | News |
|
| 359 |
+
| 72 | [liswei/news-collection-zhtw](https://huggingface.co/datasets/liswei/news-collection-zhtw) | 1 | zh | News |
|
| 360 |
+
| 73 | [bigscience-data/roots_zh-cn_wikipedia](https://huggingface.co/datasets/bigscience-data/roots_zh-cn_wikipedia) | 1 | zh | Wikipedia |
|