fastText
German
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@@ -15,7 +15,7 @@ For each document, we calculated a combined educational quality score by taking
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  We trained Aleph-Alpha-GermanWeb-Quality-Classifier-fastText using 185,403 documents in each class. We used 95% of the data (and the remaining 5% for validation) to train a fastText model to classify between high and low quality text data. It reached 92% precision and 91.5% recall on the validation set.
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- Further details, including our LLM judging prompt, can be found in our [accompanying paper](arXiv link).
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  ## Example Snippet
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  We trained Aleph-Alpha-GermanWeb-Quality-Classifier-fastText using 185,403 documents in each class. We used 95% of the data (and the remaining 5% for validation) to train a fastText model to classify between high and low quality text data. It reached 92% precision and 91.5% recall on the validation set.
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+ Further details, including our LLM judging prompt, can be found in our accompanying paper (link to paper coming soon).
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  ## Example Snippet
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