Datasetpublic

nlpso/m0_qualitative_analysis_ocr_ptrn_cmbert_io

m0_qualitative_analysis_ocr_ptrn_cmbert_io Introduction This dataset was used to perform qualitative analysis of HueyNemud/das22-10-camembert_pretrained on flat NER task using Flat NER approach [M0]. It contains 19th-century Paris trade directories' entries. Dataset parameters Approach : M0 Dataset type : noisy (Pero OCR) Tokenizer : HueyNemud/das22-10-camembert_pretrained Tagging format : IO Counts : Train : 6084 Dev : 676 Test : 1685… See the full description on the dataset page: https://huggingface.co/datasets/nlpso/m0_qualitative_analysis_ocr_ptrn_cmbert_io.

sourceHugging Faceupdated 4y agoView on Hugging Face

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Dataset Card

m0qualitativeanalysisocrptrncmbertio

Introduction

This dataset was used to perform qualitative analysis of HueyNemud/das22-10-camembert_pretrained on flat NER task using Flat NER approach [M0]. It contains 19th-century Paris trade directories' entries.

Dataset parameters

—Approach : M0
—Dataset type : noisy (Pero OCR)
—Tokenizer : HueyNemud/das22-10-camembert_pretrained
—Tagging format : IO
—Counts :
—Train : 6084
—Dev : 676
—Test : 1685
—Associated fine-tuned model : nlpso/m0_flat_ner_ocr_ptrn_cmbert_io

Entity types

Abbreviation	Description
O	Outside of a named entity
PER	Person or company name
ACT	Person or company professional activity
TITRE	Distinction
LOC	Street name
CARDINAL	Street number
FT	Geographical feature

How to use this dataset

python

from datasets import load_dataset

train_dev_test = load_dataset("nlpso/m0_qualitative_analysis_ocr_ptrn_cmbert_io")