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[ "Maret", ",", "entrepr.", "de", "maçon", ".", ",", "Grand-St-Michel", ",", "20", "." ]
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[ "JAMET", "pere", "et", "fils", ",", "r.", "des", "Fossés-St.-Bernard", ".", "59", "." ]
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[ "Mignardet", ",", "horloger", ",", "r.", "de", "Grenelle-S.-", "Honoré", ",", "3o", ".", "376" ]
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[ "Lemarchand", ",", "dépôt", "de", "velours", "d'Utrecht", "et", "moquettes", ",", "r.", "du", "Pet.-Carreau", ",", "3", "." ]
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[ "Colon", "(", "PP", ".", ")", ",", "méd", ".", "Godot", ",", "34", "." ]
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[ "Germain", ",", "pâtissier", ",", "Arcole", ",", "19", "." ]
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[ "Doizy", ",", "fab", "d'anches", "de", "clarinettes", ",", "Marais-", "St-Martin", ",", "25", "." ]
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[ "Grandeffe", "(", "Comte", "de", "cite", "d'Antin", ",", "8", "." ]
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[ "Digues", ",", "nouveaures", ",", "St-Denis", ",", "116", "," ]
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[ "Milerin", ",", "wtareh", ",", "de", "vins", ",", "r.", "Croix-des-Petits-", "912", "Champs", ",", "13", "." ]
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[ "Duffau-Pauillac", "(", "Chs", ")", ",", "Enghien", ",", "16", "." ]
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[ "Gard", "Letertre", "(", "Mlle.J", ".", ")", ",", "fab", ".", ",", "r.", "Ste.-Anne", ",", "59", "." ]
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[ "Borel", "dit", "Lamy", "(", "Mme", ")", ",", "tabac", ",", "Montmartre", ",", "81", "." ]
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[ "Delatourmignière", ",", "greff", ".", "1re", "inst", ".", ",", "boul.", "St-Martin", ",", "4", "." ]
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[ "Vauvray", "jeune", ",", "ferblantier-lam-", "piste", ",", "Neuve-St-Etienne-Bonne-", "Nouvelle", ",", "16", "." ]
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[ "POUILLE", ",", "place", "St.-Opportune", ",", "13", "La", "fantaisie", "et", "l'ouvrant", "." ]
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[ "Salesse", ",", "Louis-Philippe", ",", "55", "." ]
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[ "Alessandri", ",", "tabletier", ",", "Folic-Méricourt", ",", "21", "." ]
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[ "Blanchet", ",", "po", ".", ",", "Palais-R", ".", ",", "83", "." ]
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[ "Chatillon", "(", "Cte", "de", "Montholon", ",", "24", "bis", "." ]
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[ "Lhomme", "et", "Girerd", ",", "étoffes", "de", "Lyon", ",", "r.", "des", "Fossés-Mont-", "martre", ",", "6", ",", "et", "à", "Lyon", "." ]
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[ "Dufay", ",", "libraire", ",", "r.", "Montmartre", ",", "82", ",", "passage", "lu", "Saumon", ",", "38", "." ]
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[ "Michelon", ",", "r.", "S.-Denis", ",", "109" ]
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[ "Billot", "et", "V.", "''", "Vignerie", ",", "fub.", "de", "blondes", "et", "tules", "de", "sote", ",", "r.", "Ste.—Apolline", ",", "12", "." ]
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[ "DELAMARRE", ".", "Terre-de-pipe", ",", "cristaux", ",", "verres", ",", "bouteilles", ",", "poterie", "de", "terre", ",", "grès", "de", "Picardie", ",", "etc", ".", ":", "r.", "et", "carré", "St.-Denis", ",", "581", "." ]
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[ "Legrand", ",", "bois", "de", "charronnage", ",", "Université", ",", "183", "." ]
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[ "Balincourt", "Vie", "de", ")", ",", "Bourbon", ",", "65", "." ]
[ "I-PER", "I-PER", "I-PER", "I-PER", "O", "I-LOC", "O", "I-CARDINAL", "O" ]
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[ "Mercier", ",", "pap", ".", "St", "Martin", ",", "20", "." ]
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[ "ORIANNE", "et", "BINGANT", ",", "r.", "Quincampoix", ",", "47", ".", "Fab.", "le", "peigne", ",", "le", "cachet", "en", "tout", "genre", ",", "et", "le", "bijou", ",", "a", "pierres", "et", "perles", "fines", "." ]
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[ "Badenier", ",", "élig", ".", ",", "archit", ".", ",", "Meslay", ",", "40", "." ]
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[ "Lacombe", ",", "maitre", "maçon", ",", "Ste-Marguerite-St-Germ", ".", ",", "40", "." ]
[ "I-PER", "O", "I-ACT", "I-ACT", "O", "I-LOC", "I-LOC", "O", "I-CARDINAL", "O" ]
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[ "Baillon", ",", "pharmacien", ",", "Cadet", ",", "19", "." ]
[ "I-PER", "O", "I-ACT", "O", "I-LOC", "O", "I-CARDINAL", "O" ]
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[ "Alès", "(", "Vicomtesse", "d'", ")", ",", "Caumartin", ",", "73", "." ]
[ "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "I-LOC", "O", "I-CARDINAL", "O" ]
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[ "Parain", ",", "Petit-Lion", ",", "38", "." ]
[ "I-PER", "O", "I-LOC", "O", "I-CARDINAL", "O" ]
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m0_fine_tuning_ocr_cmbert_io

Introduction

This dataset was used to fine-tuned Jean-Baptiste/camembert-ner for flat NER task using Flat NER approach [M0]. It contains 19th-century Paris trade directories' entries.

Dataset parameters

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_fine_tuning_ocr_cmbert_io")
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Models trained or fine-tuned on nlpso/m0_fine_tuning_ocr_cmbert_io