nlpso/m2m3_fine_tuning_ocr_ptrn_cmbert_iob2

m2m3_fine_tuning_ocr_ptrn_cmbert_iob2 Introduction This dataset was used to fine-tuned HueyNemud/das22-10-camembert_pretrained for nested NER task using Independant NER layers approach [M1]. It contains Paris trade directories entries from the 19th century. Dataset parameters Approachrd : M2 and M3 Dataset type : noisy (Pero OCR) Tokenizer : HueyNemud/das22-10-camembert_pretrained Tagging format : IOB2 Counts : Train : 6084 Dev : 676 Test : 1685… See the full description on the dataset page: https://huggingface.co/datasets/nlpso/m2m3_fine_tuning_ocr_ptrn_cmbert_iob2.