SriramRokkam/BERT_NER
Text Classification
•
0.1B
•
Updated
•
1
Dataset Viewer
Sentence #
stringlengths 11
15
⌀ | Word
stringlengths 1
64
⌀ | POS
stringclasses 42
values | Tag
stringclasses 17
values |
|---|---|---|---|
Sentence: 1
|
Thousands
|
NNS
|
O
|
null |
of
|
IN
|
O
|
null |
demonstrators
|
NNS
|
O
|
null |
have
|
VBP
|
O
|
null |
marched
|
VBN
|
O
|
null |
through
|
IN
|
O
|
null |
London
|
NNP
|
B-geo
|
null |
to
|
TO
|
O
|
null |
protest
|
VB
|
O
|
null |
the
|
DT
|
O
|
null |
war
|
NN
|
O
|
null |
in
|
IN
|
O
|
null |
Iraq
|
NNP
|
B-geo
|
null |
and
|
CC
|
O
|
null |
demand
|
VB
|
O
|
null |
the
|
DT
|
O
|
null |
withdrawal
|
NN
|
O
|
null |
of
|
IN
|
O
|
null |
British
|
JJ
|
B-gpe
|
null |
troops
|
NNS
|
O
|
null |
from
|
IN
|
O
|
null |
that
|
DT
|
O
|
null |
country
|
NN
|
O
|
null |
.
|
.
|
O
|
Sentence: 2
|
Families
|
NNS
|
O
|
null |
of
|
IN
|
O
|
null |
soldiers
|
NNS
|
O
|
null |
killed
|
VBN
|
O
|
null |
in
|
IN
|
O
|
null |
the
|
DT
|
O
|
null |
conflict
|
NN
|
O
|
null |
joined
|
VBD
|
O
|
null |
the
|
DT
|
O
|
null |
protesters
|
NNS
|
O
|
null |
who
|
WP
|
O
|
null |
carried
|
VBD
|
O
|
null |
banners
|
NNS
|
O
|
null |
with
|
IN
|
O
|
null |
such
|
JJ
|
O
|
null |
slogans
|
NNS
|
O
|
null |
as
|
IN
|
O
|
null | null |
``
|
O
|
null |
Bush
|
NNP
|
B-per
|
null |
Number
|
NN
|
O
|
null |
One
|
CD
|
O
|
null |
Terrorist
|
NN
|
O
|
null | null |
``
|
O
|
null |
and
|
CC
|
O
|
null | null |
``
|
O
|
null |
Stop
|
VB
|
O
|
null |
the
|
DT
|
O
|
null |
Bombings
|
NNS
|
O
|
null |
.
|
.
|
O
|
null | null |
``
|
O
|
Sentence: 3
|
They
|
PRP
|
O
|
null |
marched
|
VBD
|
O
|
null |
from
|
IN
|
O
|
null |
the
|
DT
|
O
|
null |
Houses
|
NNS
|
O
|
null |
of
|
IN
|
O
|
null |
Parliament
|
NN
|
O
|
null |
to
|
TO
|
O
|
null |
a
|
DT
|
O
|
null |
rally
|
NN
|
O
|
null |
in
|
IN
|
O
|
null |
Hyde
|
NNP
|
B-geo
|
null |
Park
|
NNP
|
I-geo
|
null |
.
|
.
|
O
|
Sentence: 4
|
Police
|
NNS
|
O
|
null |
put
|
VBD
|
O
|
null |
the
|
DT
|
O
|
null |
number
|
NN
|
O
|
null |
of
|
IN
|
O
|
null |
marchers
|
NNS
|
O
|
null |
at
|
IN
|
O
|
null |
10,000
|
CD
|
O
|
null |
while
|
IN
|
O
|
null |
organizers
|
NNS
|
O
|
null |
claimed
|
VBD
|
O
|
null |
it
|
PRP
|
O
|
null |
was
|
VBD
|
O
|
null |
1,00,000
|
CD
|
O
|
null |
.
|
.
|
O
|
Sentence: 5
|
The
|
DT
|
O
|
null |
protest
|
NN
|
O
|
null |
comes
|
VBZ
|
O
|
null |
on
|
IN
|
O
|
null |
the
|
DT
|
O
|
null |
eve
|
NN
|
O
|
null |
of
|
IN
|
O
|
null |
the
|
DT
|
O
|
null |
annual
|
JJ
|
O
|
null |
conference
|
NN
|
O
|
null |
of
|
IN
|
O
|
null |
Britain
|
NNP
|
B-geo
|
null |
's
|
POS
|
O
|
null |
ruling
|
VBG
|
O
|
null |
Labor
|
NNP
|
B-org
|
null |
Party
|
NNP
|
I-org
|
null |
in
|
IN
|
O
|
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YAML Metadata
Warning:
The task_categories "Name Entity Recognisition" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
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