Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
extended|other-reuters-corpus
License:
id
stringclasses 6
values | tokens
sequence | ner_tags
sequence |
---|---|---|
0 | [
"Bubble",
"tea",
"near",
"thu",
"thiem",
"area"
] | [
3,
4,
0,
5,
6,
0
] |
1 | [
"I鈥檓",
"craving",
"mac",
"and",
"cheese"
] | [
0,
0,
3,
4,
4
] |
2 | [
"What",
"temples",
"did",
"Jacques",
"bookmark",
"in",
"Siem",
"Riep",
"?"
] | [
0,
4,
0,
2,
0,
0,
5,
6,
0
] |
3 | [
"What鈥檚",
"happening",
"in",
"Saigon",
"this",
"weekend",
"?"
] | [
0,
0,
0,
6,
7,
8,
0
] |
4 | [
"Popular",
"ramen",
"places",
"in",
"Tokyo"
] | [
10,
4,
0,
0,
6
] |
5 | [
"what",
"is",
"the",
"most",
"recommended",
"food",
"around",
"here"
] | [
0,
0,
0,
9,
10,
4,
0,
0
] |
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