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  license: other
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  ---
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  This model was trained for evaluating linguistic acceptability and grammaticality.
 
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  Label_1 means ACCEPTABLE - the sentence is perfectly understandable by native speakers and has no serious grammatic and syntactic flaws.
 
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  Label_0 means NOT ACCEPTABLE - the sentence is flawed both orthographically and grammatically.
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  The model was trained on 50 thousand German sentences from the news_commentary dataset (https://huggingface.co/datasets/news_commentary). Out of 50 thousand 25 thousand sentences were algorithmically corrupted using the open source Python library https://github.com/eistakovskii/text_corruption_plus. The library was originally developed by aylliote (https://github.com/aylliote/corruption), but it was slightly adapted for the purposes of this model.
 
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  license: other
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  ---
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  This model was trained for evaluating linguistic acceptability and grammaticality.
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  Label_1 means ACCEPTABLE - the sentence is perfectly understandable by native speakers and has no serious grammatic and syntactic flaws.
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  Label_0 means NOT ACCEPTABLE - the sentence is flawed both orthographically and grammatically.
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  The model was trained on 50 thousand German sentences from the news_commentary dataset (https://huggingface.co/datasets/news_commentary). Out of 50 thousand 25 thousand sentences were algorithmically corrupted using the open source Python library https://github.com/eistakovskii/text_corruption_plus. The library was originally developed by aylliote (https://github.com/aylliote/corruption), but it was slightly adapted for the purposes of this model.