Interpres
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Interpres OCR Correction (IOC) is the dataset that is desgined for training ByT5 models to correct transcribed Medieval Latin texts. The data is collected from the OCR results from multiple OCR models/engines like Deepseek-OCR, PaddleOCR-v5, TrOCR-Medieval, TRIDIS, ... on the CATMuS Latin dataset. The CER range is 0.1-0.4 to make sure the dataset doesn't capture too much gibberish cases and also not too easy.
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