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@@ -1297,4 +1297,56 @@ print('Prop. continued words:', df.cont_prop.mean())
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  We loosely follow the approach of [Rust _et al.](https://arxiv.org/abs/2012.15613) using the fast [UDPipe](https://ufal.mff.cuni.cz/udpipe) to pre-split documents into words and subsequently run the tokenizer over isolated words. For all languages we use the respective November 2023 snapshot from [Wikipedia](wikimedia/wikipedia). Since Wikipedia, by nature, contains significantly more numbers and dates than other text and most tokenizers split those into single digits, we filtered all lone-standing numbers from the documents. Additionally, we removed any documents that still contained non-parsed HTML code (less than 1%).
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  ## Licensing
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- We release our curated benchmark and any associated code under [MIT](https://opensource.org/license/mit) license. However, depending on your use case, the licensing conditions of the original [Wikipedia data](https://huggingface.co/datasets/wikimedia/wikipedia#licensing-information) and [UDPipe](https://github.com/ufal/udpipe/tree/udpipe-2?tab=License-1-ov-file) may apply.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  We loosely follow the approach of [Rust _et al.](https://arxiv.org/abs/2012.15613) using the fast [UDPipe](https://ufal.mff.cuni.cz/udpipe) to pre-split documents into words and subsequently run the tokenizer over isolated words. For all languages we use the respective November 2023 snapshot from [Wikipedia](wikimedia/wikipedia). Since Wikipedia, by nature, contains significantly more numbers and dates than other text and most tokenizers split those into single digits, we filtered all lone-standing numbers from the documents. Additionally, we removed any documents that still contained non-parsed HTML code (less than 1%).
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  ## Licensing
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+
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+ We release our curated benchmark and any associated code under [MIT](https://opensource.org/license/mit) license. However, depending on your use case, the licensing conditions of the original [Wikipedia data](https://huggingface.co/datasets/wikimedia/wikipedia#licensing-information) and [UDPipe](https://github.com/ufal/udpipe/tree/udpipe-2?tab=License-1-ov-file) may apply.
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+
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+ ## Supported Languages
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+ This dataset currently contains pre-processed data for the following languages:
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+
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+ | Language | Code |
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+ |:-----------|:-------|
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+ | Afrikaans | af |
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+ | Arabic | ar |
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+ | Armenian | hy |
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+ | Basque | eu |
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+ | Bulgarian | bg |
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+ | Catalan | ca |
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+ | Croatian | hr |
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+ | Czech | cs |
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+ | Danish | da |
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+ | Dutch | nl |
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+ | English | en |
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+ | Estonian | et |
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+ | Finnish | fi |
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+ | French | fr |
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+ | German | de |
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+ | Greek | el |
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+ | Hebrew | he |
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+ | Hindi | hi |
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+ | Hungarian | hu |
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+ | Indonesian | id |
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+ | Irish | ga |
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+ | Italian | it |
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+ | Japanese | ja |
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+ | Korean | ko |
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+ | Latvian | lv |
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+ | Lithuanian | lt |
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+ | Marathi | mr |
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+ | Norwegian | no |
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+ | Persian | fa |
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+ | Polish | pl |
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+ | Portuguese | pt |
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+ | Romanian | ro |
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+ | Russian | ru |
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+ | Sanskrit | sa |
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+ | Serbian | sr |
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+ | Slovak | sk |
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+ | Slovenian | sl |
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+ | Spanish | es |
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+ | Swedish | sv |
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+ | Tamil | ta |
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+ | Telugu | te |
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+ | Turkish | tr |
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+ | Ukrainian | uk |
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+ | Urdu | ur |
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+ | Vietnamese | vi |