nlpso/

m2m3_fine_tuning_ocr_cmbert_io

	m2m3_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.

Approachrd : M2 and M3 Dataset type : noisy (Pero OCR) Tokenizer : Jean-Baptiste/camembert-ner Tagging format : IO Counts : Train : 6084 Dev : 676 Test : 1685

Associated fine-tuned models : M2 :… See the full description on the dataset page: https://huggingface.co/datasets/nlpso/m2m3_fine_tuning_ocr_cmbert_io.