Create README.md
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README.md
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---
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license: gpl-3.0
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datasets:
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- oscar-corpus/OSCAR-2301
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language:
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- nl
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base_model:
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- DTAI-KULeuven/robbert-2023-dutch-base
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pipeline_tag: text-classification
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tags:
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- medical
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---
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We used GPT4.1-nano to classify generic texts from OSCAR as medical/non-medical. We labeled 400.000 texts, with about 40.000 labeled as positive.
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We then trained a SequenceClassifier on 80.000 samples with a 50/50 class ratio.
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