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README.md

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 # PARTYPRESS multilingual
 
-Fine-tuned model in seven languages on texts from nine countries (Austria, Denmark, Germany, Ireland, Netherlands, Poland, Spain, Sweden, UK), based on [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased). Used in Erfort et al. (2023), building on the PARTYPRESS database. For the downstream task of classyfing press releases into 23 unique issue areas we achieve a performance comparable to expert human coders.
+Fine-tuned model in seven languages on texts from nine countries (Austria, Denmark, Germany, Ireland, Netherlands, Poland, Spain, Sweden, UK), based on [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased). Used in Erfort et al. (2023), building on the PARTYPRESS database. For the downstream task of classyfing press releases from political parties into 23 unique policy areas we achieve a performance comparable to expert human coders.
 
 
 ## Model description