nlpso/m1_fine_tuning_ref_cmbert_iob2
m1_fine_tuning_ref_cmbert_iob2 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 : ground-truth Tokenizer : Jean-Baptiste/camembert-ner Tagging format : IOB2 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_ref_cmbert_iob2.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face