UMCU/DutchMedicalTextV2

Translated mix of PMC/Pubmed, existing data sets from Apollo/Meditron and various Dutch sources. Be aware of spurious repetitions due to the use of neural machine translation. You can mitigate it partially by iteratively applying a suitable regex-replace operation. Example (bleeding eyes) code is RE_SPURIOUS_CHARS = re.compile(r'([^\w])\1{3,}') RE_SPURIOUS_WORDS = re.compile(r'(\b[\w\-\s\;\:\,\.]+\b)\1{4,}') RE_MULTISPACE = re.compile(r'\s{2,}') def apply_until_stable(pattern, repl, text… See the full description on the dataset page: https://huggingface.co/datasets/UMCU/DutchMedicalTextV2.

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