metadata
language:
- fr
multilinguality:
- monolingual
task_categories:
- token-classification
m0_qualitative_analysis_ref_cmbert_io
Introduction
This dataset was used to perform qualitative analysis of Jean-Baptiste/camembert-ner on flat NER task using Flat NER approach [M0]. It contains 19th-century Paris trade directories' entries.
Dataset parameters
- Approach : M0
- Dataset type : ground-truth
- Tokenizer : Jean-Baptiste/camembert-ner
- Tagging format : IO
- Counts :
- Train : 6084
- Dev : 676
- Test : 1685
- Associated fine-tuned model : nlpso/m0_flat_ner_ref_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
from datasets import load_dataset
train_dev_test = load_dataset("nlpso/m0_qualitative_analysis_ref_cmbert_io")