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Datasets:
romjansen
/
mbert-base-cased-NER-NL-legislation-refs-data

Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
named-entity-recognition
Size:
10K - 100K
Libraries:
Datasets
pandas
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Dataset description

This dataset was created for fine-tuning the model mbert-base-cased-NER-NL-legislation-refs and consists of 512 token long examples which each contain one or more legislation references. These examples were created from a weakly labelled corpus of Dutch case law which was scraped from Linked Data Overheid, pre-tokenized and labelled (biluo_tags_from_offsets) through spaCy and further tokenized through applying Hugging Face's AutoTokenizer.from_pretrained() for bert-base-multilingual-cased's tokenizer.

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Models trained or fine-tuned on romjansen/mbert-base-cased-NER-NL-legislation-refs-data