Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
m2m3_qualitative_analysis_ocr_ptrn_cmbert_io – Dataset by nlpso | AlphaNeural AI
You can deploy this model and start earning money today!
nlpso
/
m2m3_qualitative_analysis_ocr_ptrn_cmbert_io
like
0
token-classification
monolingual
fr
1K<n<10K
parquet
text
datasets
pandas
mlcroissant
polars
us
Views
No views yet
Model card
Files and Versions
Community
API
m2m3_qualitative_analysis_ocr_ptrn_cmbert_io Introduction
This dataset was used to perform qualitative analysis of HueyNemud/das22-10-camembert_pretrained on 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 : IO Counts : Train : 6084 Dev : 676… See the full description on the dataset page:
https://huggingface.co/datasets/nlpso/m2m3_qualitative_analysis_ocr_ptrn_cmbert_io
.
