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Datasets:
stefan-it
/
histnero

Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Languages:
Romanian
Size:
100K - 1M
ArXiv:
Tags:
ner
flair
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
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-DOCSTART-
stringlengths
1
164k
⌀
O
stringclasses
11 values
# histnero:id = 969
null
# histnero:doc_id = Transilvania_20-_20Gura_20Satului_201880.ann
null
# histnero:region = Transylvania
null
Aci
O
o
O
asceptá
O
o
O
duzina
O
de
O
juni-junisiroi
O
tomnateci
O
,
O
cari
O
de
O
cari
O
mai
O
frumosi
O
,
O
mai
O
luxosi
O
si
O
mai
O
parfumati
O
.
O
# histnero:id = 945
null
# histnero:doc_id = Transilvania_20-_20Gura_20Satului_201880.ann
null
# histnero:region = Transylvania
null
Sosi
O
Dominec'a
O
si
O
cu
O
dens'a
O
bucurí'a
O
si
O
veselí'a
O
celoru
O
doi
O
amoresati
O
.
O
# histnero:id = 933
null
# histnero:doc_id = Transilvania_20-_20Gura_20Satului_201880.ann
null
# histnero:region = Transylvania
null
Damele
O
de
O
moda
O
inca
O
din
O
vechime
O
au
O
aplicare
O
spre
O
migrena
O
.
O
# histnero:id = 971
null
# histnero:doc_id = Transilvania_20-_20Gura_20Satului_201880.ann
null
# histnero:region = Transylvania
null
pre
B-PERS
Sacagiu
I-PERS
,
O
unu
O
gura-casca
O
si
O
unu
O
haple
O
de
O
prim'a
O
ordine
O
;
O
pe
O
amiculu
O
seu
O
C
O
.
O
# histnero:id = 930
null
# histnero:doc_id = Transilvania_20-_20Gura_20Satului_201880.ann
null
# histnero:region = Transylvania
null
Nu
O
este
O
nici
O
un'a
O
,
O
care
O
se
O
nu
O
fi
O
facutu
O
vre-odata
O
interprinderea
O
de
O
a
O
fi
O
morbósa
O
cà
O
se
O
se
O
faca
O
mai
O
interesanta
O
amantului
O
ei
O
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HistNERo (CoNLL)

This repository contains the Historical Romanian Named Entity Recognition (HistNERo) dataset in a CoNLL-compatible format.

The dataset uses the reference dataset from avramandrei/histnero and introduces the following features:

The dataset has 10,026 sentences (i.e. 8,020 train, 1,003 valid and 1,003 train) annotated with five named entities:

  • PERSON
  • ORGANIZATION
  • LOCATION
  • PRODUCT
  • DATE

More details can be found in the HistNERo: Historical Named Entity Recognition for the Romanian Language paper.

Caveats

We provide a CoNLL-compatible format of the original HistNERo dataset. Thus, there could still be some errors in the dataset transformation. Please open an issue if you find any problems!

License

We use the original MIT license from the authors' dataset repository.

Acknowledgements

We heavily thank Andrei-Marius Avram, Andreea Iuga, George-Vlad Manolache, Vlad-Cristian Matei, Răzvan-Gabriel Micliuş, Vlad-Andrei Muntean, Manuel-Petru Sorlescu, Dragoş-Andrei Şerban, Adrian-Dinu Urse, Vasile Păiş and Dumitru-Clementin Cercel for releasing this great dataset resource!

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