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2,
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2,
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2
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[
"รมต.",
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"จัด",
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[
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2
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[
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" ",
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" ",
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2,
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[
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[
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[
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[
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[
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[
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[
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2
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[
"นิค",
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0,
1,
1,
1
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[
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[
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[
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3
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[
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] |
End of preview. Expand
in Dataset Viewer.
Thai NER v2.2
Thai Named Entity Recognition Corpus
You can download .conll to train named entity model in https://zenodo.org/records/10795907.
Size
- Train: 3,938 docs
- Validation: 1,313 docs
- Test: 1,313 Docs
Some data come from crowdsourcing between Dec 2018 - Nov 2019. https://github.com/wannaphong/thai-ner
Domain
- News (It, politics, economy, social)
- PR (KKU news)
- general
Source
- I use sone data from Nutcha’s theses (http://pioneer.chula.ac.th/~awirote/Data-Nutcha.zip) and improve data by rechecking and adding more tagging.
- Blognone.com - It news
- thaigov.go.th
- kku.ac.th
And more (the lists are lost.)
Tag
- DATE - date
- TIME - time
- EMAIL - email
- LEN - length
- LOCATION - Location
- ORGANIZATION - Company / Organization
- PERSON - Person name
- PHONE - phone number
- TEMPERATURE - temperature
- URL - URL
- ZIP - Zip code
- MONEY - the amount
- LAW - legislation
- PERCENT - PERCENT
Cite
Wannaphong Phatthiyaphaibun. (2024). Thai NER 2.2 (2.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10795907
or BibTeX
@dataset{wannaphong_phatthiyaphaibun_2024_10795907,
author = {Wannaphong Phatthiyaphaibun},
title = {Thai NER 2.2},
month = mar,
year = 2024,
publisher = {Zenodo},
version = {2.2},
doi = {10.5281/zenodo.10795907},
url = {https://doi.org/10.5281/zenodo.10795907}
}
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