nlpso/m1_fine_tuning_ocr_cmbert_io
m1_fine_tuning_ocr_cmbert_io Introduction This dataset was used to fine-tuned Jean-Baptiste/camembert-ner for nested NER task using Independant NER layers approach [M1]. It contains Paris trade directories entries from the 19th century. Dataset parameters Approach : M1 Dataset type : noisy (Pero OCR) Tokenizer : Jean-Baptiste/camembert-ner Tagging format : IO Counts : Train : 6084 Dev : 676 Test : 1685 Associated fine-tuned models : Level-1 :… See the full description on the dataset page: https://huggingface.co/datasets/nlpso/m1_fine_tuning_ocr_cmbert_io.
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