Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
100K - 1M
ArXiv:
License:
metadata
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 1k<10K
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: TweetNER7
Dataset Card for "tner/tweetner7"
Dataset Description
- Repository: T-NER
- Paper: TBA
- Dataset: TweetNER7
- Domain: Twitter
- Number of Entity: 7
Dataset Summary
TweeBank NER dataset formatted in a part of TNER project.
- Entity Types:
corperation
,creative_work
,event
,group
,location
,product
,person
Dataset Structure
Data Instances
An example of train
looks as follows.
{
}
Label ID
The label2id dictionary can be found at here.
{
"B-corporation": 0,
"B-creative_work": 1,
"B-event": 2,
"B-group": 3,
"B-location": 4,
"B-person": 5,
"B-product": 6,
"I-corporation": 7,
"I-creative_work": 8,
"I-event": 9,
"I-group": 10,
"I-location": 11,
"I-person": 12,
"I-product": 13,
"O": 14
}
Data Splits
name | train | validation | test |
---|---|---|---|
tweetner7 | 1639 | 710 | 1201 |
Citation Information
TBA