nlpso/m3_hierarchical_ner_ocr_cmbert_io
Token Classification
•
Updated
•
11
tokens
sequencelengths 4
125
| ner_tags
sequencelengths 4
125
| input_ids
sequencelengths 8
203
| attention_mask
sequencelengths 8
203
| labels
sequencelengths 8
203
|
---|---|---|---|---|
[
"Maret",
",",
"entrepr.",
"de",
"maçon",
".",
",",
"Grand-St-Michel",
",",
"20",
"."
] | [
"I-PER+O",
"O+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
] | [
5,
1525,
231,
21,
7,
128,
5446,
9,
8,
23634,
21,
9,
21,
7,
1224,
26,
7713,
26,
7859,
21,
7,
325,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
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1,
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3,
3,
3,
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0,
-100,
8,
-100,
-100,
-100,
-100,
7,
-100,
9,
0,
-100,
-100
] |
[
"JAMET",
"pere",
"et",
"fils",
",",
"r.",
"des",
"Fossés-St.-Bernard",
".",
"59",
"."
] | [
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
] | [
5,
121,
16851,
412,
2536,
35,
14,
976,
21,
7,
874,
9,
20,
7303,
5832,
10,
26,
7713,
9,
26,
27599,
21,
9,
7017,
21,
9,
6
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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1,
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-100,
-100,
-100,
-100,
-100,
-100,
7,
-100,
9,
0,
-100,
-100
] |
[
"Mignardet",
",",
"horloger",
",",
"r.",
"de",
"Grenelle-S.-",
"Honoré",
",",
"3o",
".",
"376"
] | [
"I-PER+O",
"O+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O",
"O+O"
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188,
2667,
834,
231,
21,
7,
16914,
81,
21,
7,
874,
9,
8,
13139,
144,
26,
229,
9,
26,
18995,
141,
21,
7,
135,
189,
21,
9,
135,
4540,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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8,
-100,
7,
-100,
9,
-100,
0,
-100,
0,
-100,
-100
] |
[
"Lemarchand",
",",
"dépôt",
"de",
"velours",
"d'Utrecht",
"et",
"moquettes",
",",
"r.",
"du",
"Pet.-Carreau",
",",
"3",
"."
] | [
"I-PER+O",
"O+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
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54,
2281,
9384,
204,
21,
7,
4615,
8,
15718,
18,
11,
1105,
110,
27862,
14,
24004,
10,
21,
7,
874,
9,
25,
16716,
9,
26,
7335,
81,
252,
21,
7,
135,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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8,
8,
-100,
-100,
-100,
-100,
-100,
7,
-100,
9,
0,
-100,
-100
] |
[
"Colon",
"(",
"PP",
".",
")",
",",
"méd",
".",
"Godot",
",",
"34",
"."
] | [
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"O+O",
"I-ACT+O",
"I-ACT+O",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
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2875,
88,
38,
15518,
21,
9,
936,
21,
7,
115,
4560,
21,
9,
10577,
1102,
21,
7,
3755,
21,
9,
6
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1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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1,
-100,
1,
1,
1,
-100,
1,
0,
-100,
3,
-100,
3,
-100,
8,
-100,
7,
-100,
9,
0,
-100,
-100
] |
[
"Germain",
",",
"pâtissier",
",",
"Arcole",
",",
"19",
"."
] | [
"I-PER+O",
"O+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
] | [
5,
15336,
21,
7,
27007,
21,
7,
12749,
2811,
21,
7,
653,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
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1,
0,
-100,
3,
0,
-100,
8,
-100,
7,
-100,
9,
0,
-100,
-100
] |
[
"Doizy",
",",
"fab",
"d'anches",
"de",
"clarinettes",
",",
"Marais-",
"St-Martin",
",",
"25",
"."
] | [
"I-PER+O",
"O+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
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3459,
5153,
105,
21,
7,
3385,
442,
18,
11,
8249,
10,
8,
8548,
7623,
1783,
21,
7,
24829,
26,
933,
26,
11714,
21,
7,
618,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | [
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1,
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-100,
0,
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3,
-100,
3,
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-100,
-100,
3,
3,
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0,
-100,
8,
-100,
8,
-100,
-100,
7,
-100,
9,
0,
-100,
-100
] |
[
"Grandeffe",
"(",
"Comte",
"de",
"cite",
"d'Antin",
",",
"8",
"."
] | [
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
] | [
5,
2187,
6200,
38,
20407,
8,
8497,
18,
11,
21395,
255,
21,
7,
344,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
1,
1
] | [
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1,
-100,
1,
1,
1,
8,
8,
-100,
-100,
-100,
7,
-100,
9,
0,
-100,
-100
] |
[
"Digues",
",",
"nouveaures",
",",
"St-Denis",
",",
"116",
","
] | [
"I-PER+O",
"O+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
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2288,
8701,
21,
7,
281,
2003,
21,
7,
933,
26,
9124,
21,
7,
124,
2212,
21,
7,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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0,
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8,
-100,
-100,
7,
-100,
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0,
-100,
-100
] |
[
"Milerin",
",",
"wtareh",
",",
"de",
"vins",
",",
"r.",
"Croix-des-Petits-",
"912",
"Champs",
",",
"13",
"."
] | [
"I-PER+O",
"O+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
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7997,
108,
236,
21,
7,
2902,
4550,
35,
133,
21,
7,
8,
3919,
21,
7,
874,
9,
7861,
26,
1294,
26,
22307,
10,
26,
419,
1861,
17025,
21,
7,
560,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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1,
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-100,
-100,
8,
-100,
8,
7,
-100,
9,
0,
-100,
-100
] |
[
"Duffau-Pauillac",
"(",
"Chs",
")",
",",
"Enghien",
",",
"16",
"."
] | [
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
] | [
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160,
3348,
276,
26,
406,
276,
14418,
38,
2303,
10,
936,
21,
7,
107,
18164,
90,
21,
7,
475,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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8,
-100,
-100,
7,
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9,
0,
-100,
-100
] |
[
"Gard",
"Letertre",
"(",
"Mlle.J",
".",
")",
",",
"fab",
".",
",",
"r.",
"Ste.-Anne",
",",
"59",
"."
] | [
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"O+O",
"I-ACT+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
] | [
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54,
809,
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38,
25158,
9,
655,
21,
9,
936,
21,
7,
3385,
442,
21,
9,
21,
7,
874,
9,
8237,
9,
26,
10968,
21,
7,
7017,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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8,
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8,
-100,
-100,
-100,
7,
-100,
9,
0,
-100,
-100
] |
[
"Borel",
"dit",
"Lamy",
"(",
"Mme",
")",
",",
"tabac",
",",
"Montmartre",
",",
"81",
"."
] | [
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"I-PER+O",
"O+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
] | [
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647,
227,
61,
4359,
38,
2439,
936,
21,
7,
8169,
21,
7,
27004,
21,
7,
11514,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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1,
0,
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3,
0,
-100,
8,
7,
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9,
0,
-100,
-100
] |
[
"Delatourmignière",
",",
"greff",
".",
"1re",
"inst",
".",
",",
"boul.",
"St-Martin",
",",
"4",
"."
] | [
"I-PER+O",
"O+O",
"I-DESC+i_ACT",
"I-DESC+i_ACT",
"I-DESC+O",
"I-DESC+O",
"I-DESC+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
] | [
5,
13425,
4416,
27836,
6707,
21,
7,
2473,
8888,
21,
9,
124,
346,
4789,
110,
21,
9,
21,
7,
21,
12587,
9,
933,
26,
11714,
21,
7,
181,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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8,
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-100,
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7,
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9,
0,
-100,
-100
] |
[
"Vauvray",
"jeune",
",",
"ferblantier-lam-",
"piste",
",",
"Neuve-St-Etienne-Bonne-",
"Nouvelle",
",",
"16",
"."
] | [
"I-PER+O",
"I-PER+O",
"O+O",
"I-ACT+O",
"I-ACT+O",
"O+O",
"I-SPAT+i_LOC",
"I-SPAT+i_LOC",
"I-SPAT+O",
"I-SPAT+i_CARDINAL",
"O+O"
] | [
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12439,
526,
3254,
393,
21,
7,
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113,
946,
26,
6360,
26,
3165,
21,
7,
21,
24491,
26,
7713,
26,
15855,
26,
385,
2630,
26,
2651,
21,
7,
475,
21,
9,
6
] | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
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-100,
8,
7,
-100,
9,
0,
-100,
-100
] |
[
"POUILLE",
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This dataset was used to fine-tuned Jean-Baptiste/camembert-ner for nested NER task using Independant NER layers approach [M1]. It contains Paris trade directories entries from the 19th century.
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 |
from datasets import load_dataset
train_dev_test = load_dataset("nlpso/m2m3_fine_tuning_ocr_cmbert_io")