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[ "▁Mar", "et", ",", "▁entre", "pr", ".", "▁de", "▁ma", "con", ".", ",", "▁Grand", "-", "St", "-", "Michel", ",", "▁20", "." ]
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[ "▁M", "ign", "ard", "et", ",", "▁horloge", "r", ",", "▁r", ".", "▁de", "▁Gren", "elle", "-", "S", ".", "-", "▁Honor", "é", ",", "▁3", "o", ".", "▁3", "76" ]
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[ "▁Col", "on", "▁(", "PP", ".", "),", "▁m", "éd", ".", ",", "▁God", "ot", ",", "▁34", "." ]
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[ "▁Germain", ",", "▁pâtissier", ",", "▁Arc", "ole", ",", "▁19", "." ]
[ "B-PER", "O", "B-ACT", "O", "B-SPAT", "B-SPAT", "I-SPAT", "I-SPAT", "O" ]
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[ "▁Grande", "ffe", "▁(", "Com", "te", "▁de", "),", "▁cité", "▁d", "'", "Anti", "n", ",", "▁8", "." ]
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[ "▁H", "uff", ".", "▁carton", "n", ".", ",", "▁r", ".", "▁Gren", "et", "at", ".", "▁3", "." ]
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[ "▁Merci", "er", ",", "▁gain", "ier", ",", "▁Ne", "▁St", "▁Martin", ",", "▁1." ]
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[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "B-CARDINAL", "O" ]
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[ "▁Le", "grand", ",", "▁bois", "▁de", "▁char", "ron", "nage", ",", "▁Université", ",", "▁18", "3." ]
[ "B-PER", "B-PER", "O", "B-ACT", "I-ACT", "I-ACT", "I-ACT", "I-ACT", "O", "B-SPAT", "I-SPAT", "I-SPAT", "O" ]
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[ "▁Bal", "in", "court", "▁(", "V", "te", "▁de", "),", "▁Bourbon", ",", "▁65", "." ]
[ "B-PER", "B-PER", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "B-SPAT", "I-SPAT", "I-SPAT", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "O", "B-CARDINAL", "O" ]
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[ "▁Merci", "er", ",", "▁", "pap", ".", "▁St", "▁Martin", ",", "▁20", "." ]
[ "B-PER", "B-PER", "O", "O", "B-ACT", "B-ACT", "B-SPAT", "I-SPAT", "I-SPAT", "I-SPAT", "O" ]
[ "O", "O", "O", "O", "O", "O", "B-LOC", "I-LOC", "O", "B-CARDINAL", "O" ]
[ 5, 757, 21, 108, 21, 7, 21, 21, 20959, 21, 9, 933, 2928, 21, 7, 325, 21, 9, 6 ]
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[ "▁O", "RI", "ANNE", "▁et", "▁B", "ING", "ANT", ",", "▁r", ".", "▁Qu", "in", "camp", "o", "ix", "▁", ",", "▁47", ".", "▁Fab", ".", "▁le", "▁peigne", ",", "▁le", "▁cachet", "▁en", "▁tout", "▁genre", ",", "▁et", "▁le", "▁bijou", "▁", ",", "▁à", "▁pierres", "▁et", "▁perles", "▁fines", "." ]
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[ "▁Bad", "e", "nier", ",", "▁é", "lig", ".", ",", "▁archi", "t", ".", ",", "▁Mes", "lay", ",", "▁40", "." ]
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[ "O", "O", "O", "O", "B-TITREH", "B-TITREH", "B-TITREH", "O", "O", "O", "O", "O", "B-LOC", "B-LOC", "O", "B-CARDINAL", "O" ]
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[ "▁La", "combe", ",", "▁maître", "▁maçon", ",", "▁Ste", "-", "M", "argue", "rite", "-", "St", "-", "G", "er", "m", ".", ",", "▁40", "." ]
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[ "▁Ba", "illon", ",", "▁pharmacien", ",", "▁Cad", "et", ",", "▁19", "." ]
[ "B-PER", "B-PER", "O", "B-ACT", "O", "B-SPAT", "B-SPAT", "I-SPAT", "I-SPAT", "O" ]
[ "O", "O", "O", "O", "O", "B-LOC", "B-LOC", "O", "B-CARDINAL", "O" ]
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[ "▁A", "lès", "▁(", "Vi", "com", "t", "esse", "▁d", "'", "),", "▁C", "au", "martin", ",", "▁73", "." ]
[ "B-PER", "B-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "I-PER", "O", "B-SPAT", "B-SPAT", "B-SPAT", "I-SPAT", "I-SPAT", "O" ]
[ "O", "O", "O", "O", "O", "O", "O", "O", "O", "O", "B-LOC", "B-LOC", "B-LOC", "O", "B-CARDINAL", "O" ]
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[ "▁Par", "ain", ",", "▁Petit", "-", "L", "ion", ",", "▁38", "." ]
[ "B-PER", "B-PER", "O", "B-SPAT", "I-SPAT", "I-SPAT", "I-SPAT", "I-SPAT", "I-SPAT", "O" ]
[ "O", "O", "O", "B-LOC", "I-LOC", "I-LOC", "I-LOC", "O", "B-CARDINAL", "O" ]
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[ -100, 11, 11, -100, 0, -100, 14, 4, 4, 4, -100, 4, -100, 4, 0, -100, -100 ]
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m1_qualitative_analysis_ref_cmbert_iob2

Introduction

This dataset was used to perform qualitative analysis of Jean-Baptiste/camembert-ner on nested NER task using Independant NER layers approach [M1]. It contains Paris trade directories entries from the 19th century.

Dataset parameters

Entity types

Abbreviation Entity group (level) Description
O 1 & 2 Outside of a named entity
PER 1 Person or company name
ACT 1 & 2 Person or company professional activity
TITREH 2 Military or civil distinction
DESC 1 Entry full description
TITREP 2 Professionnal reward
SPAT 1 Address
LOC 2 Street name
CARDINAL 2 Street number
FT 2 Geographical feature

How to use this dataset

from datasets import load_dataset

train_dev_test = load_dataset("nlpso/m1_qualitative_analysis_ref_cmbert_iob2")
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