id
int64
0
17.6k
sentence_id
int64
0
5.46k
words
stringlengths
1
19
labels
stringclasses
7 values
1,742
383
.
O
6,722
1,482
'
O
5,859
1,293
Naoto
B-PER
424
103
llaqtanqa
I-LOC
12,792
3,212
distritu
I-LOC
12,325
2,997
Chiway
B-LOC
14,545
4,303
distritu
I-LOC
4,384
969
Killapampa
B-LOC
14,724
4,406
de
I-LOC
904
206
mama
I-ORG
17,485
5,416
qucha
I-LOC
4,272
946
Kimsantin
B-LOC
4,892
1,075
Rurrenabaque
B-LOC
12,026
2,865
distritu
I-LOC
3,525
786
Nuevo
B-LOC
10,758
2,371
Iglesias
I-PER
1,031
234
parki
I-ORG
11,620
2,679
Antonio
B-LOC
9,319
2,054
'
O
2,278
503
munisipyu
I-LOC
7,788
1,716
Kay
O
8,085
1,783
Bolívarmantam
I-PER
3,627
809
,
O
17,396
5,391
Kamachina
I-LOC
15,366
4,719
García
I-PER
11,761
2,740
distritu
I-LOC
2,192
485
.
O
16,468
5,102
Armstrong
I-PER
13,117
3,353
distritu
I-LOC
16,797
5,207
Fierro
I-PER
12,086
2,892
distritu
I-LOC
9,721
2,142
河北
O
13,679
3,733
P'allqa
B-LOC
12,154
2,924
Wayllati
B-LOC
16,378
5,074
Juan
B-PER
14,437
4,216
Chupa
B-LOC
12,604
3,124
Sara
I-LOC
13,586
3,655
Mitu
B-LOC
16,196
5,020
Guardia
I-PER
6,789
1,497
Kaylluma
B-LOC
3,349
743
kaynin
I-ORG
7,077
1,561
.
O
2,260
498
'
O
16,069
4,975
Gérson
B-PER
6,318
1,391
Pardo
I-PER
8,809
1,939
Nicolás
B-PER
10,170
2,244
pruwinsya
I-LOC
8,294
1,831
Candamo
I-PER
4,744
1,040
'
O
5,626
1,242
Manuel
B-PER
11,237
2,524
Castañeda
I-LOC
5,915
1,305
)
O
3,274
727
paniscus
O
9,807
2,158
2006
I-ORG
11,003
2,423
Piluta
B-ORG
3,505
781
Suntur
I-ORG
12,595
3,120
Pararka
B-LOC
13,172
3,380
Urqus
B-LOC
12,671
3,157
pruwinsya
I-LOC
14,113
4,018
César
I-LOC
5,241
1,151
Isabel
I-LOC
12,919
3,260
Llapa
B-LOC
4,247
940
warwasku
I-LOC
7,791
1,716
Bolívarmantam
I-PER
2,148
475
Kuri
B-LOC
10,575
2,331
tajacu
O
9,861
2,170
Newton
I-PER
5,530
1,218
Pachantin
I-ORG
7,682
1,693
PUSAPUNA
O
9,048
1,996
'
O
11,629
2,682
Kurunku
B-LOC
11,493
2,628
Longuita
B-LOC
9,956
2,192
kaynin
I-ORG
7,483
1,651
.
O
6,175
1,362
'
O
10,294
2,271
Davor
B-PER
16,054
4,968
Febuspa
I-PER
14,878
4,493
Ricardopa
B-PER
12,692
3,166
distritu
I-LOC
4,376
968
'
O
4,371
966
)
O
6,045
1,332
Ariqipa
I-LOC
5,235
1,150
,
O
553
130
.
O
8,668
1,906
suwa
I-LOC
16,060
4,972
Georges
B-PER
7,177
1,586
.
O
3,167
704
Tupaq
B-PER
5,652
1,249
wak'a
I-LOC
3,813
850
pruwinsya
I-LOC
14,809
4,444
Sipawa
B-LOC
11,137
2,456
Esperanza
I-LOC
10,610
2,340
pusapuna
O
9,552
2,106
Melgar
I-PER
5,212
1,144
pusapuna
O
15,108
4,607
Peláezqa
I-PER
3,005
670
Piruwanu
B-ORG
428
104
Pachantin
I-ORG
12,440
3,049
distritu
I-LOC
17,175
5,336
López
I-PER

Dataset Card for WikiANN

Dataset Summary

NER_Quechua_IIC is a named entity recognition dataset consisting of dictionary texts provided by the Peruvian Ministry of Education, annotated with LOC (location), PER (person) and ORG (organization) tags in the IOB2 format.

Supported Tasks and Leaderboards

  • named-entity-recognition: The dataset can be used to train a model for named entity recognition in Quechua languages.
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