metadata

dataset_info:
  features:
    - name: words
      sequence: string
    - name: ner
      sequence:
        class_label:
          names:
            '0': B-PERSON
            '1': I-PERSON
            '2': O
            '3': B-ORGANIZATION
            '4': B-LOCATION
            '5': I-ORGANIZATION
            '6': I-LOCATION
            '7': B-DATE
            '8': I-DATE
            '9': B-TIME
            '10': I-TIME
            '11': B-MONEY
            '12': I-MONEY
            '13': B-FACILITY
            '14': I-FACILITY
            '15': B-URL
            '16': I-URL
            '17': B-PERCENT
            '18': I-PERCENT
            '19': B-LEN
            '20': I-LEN
            '21': B-AGO
            '22': I-AGO
            '23': B-LAW
            '24': I-LAW
            '25': B-PHONE
            '26': I-PHONE
            '27': B-EMAIL
            '28': I-EMAIL
            '29': B-ZIP
            '30': B-TEMPERATURE
            '31': I-TEMPERATURE
            '32': B-DTAE
            '33': I-DTAE
            '34': B-DATA
            '35': I-DATA
  splits:
    - name: train
      num_bytes: 3736419
      num_examples: 3938
    - name: validation
      num_bytes: 1214580
      num_examples: 1313
    - name: test
      num_bytes: 1242609
      num_examples: 1313
  download_size: 974230
  dataset_size: 6193608
license: cc-by-3.0
task_categories:
  - token-classification
language:
  - th

Dataset Card for "thainer-corpus-v2"

News!!!

Thai NER v2.2 is released! Please use Thai NER 2.2 instead This corpus. Thai NER v2.2: https://huggingface.co/datasets/pythainlp/thainer-corpus-v2.2

Thai Named Entity Recognition Corpus

Home Page: https://pythainlp.github.io/Thai-NER/version/2

Training script and split data: https://zenodo.org/record/7761354

You can download .conll to train named entity model in https://zenodo.org/record/7761354.

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.
Twitter
Blognone.com - It news
thaigov.go.th
kku.ac.th

And more (the lists are lost.)

Tag

DATA - 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

Download: HuggingFace Hub

Cite

Wannaphong Phatthiyaphaibun. (2022). Thai NER 2.0 (2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7761354

or BibTeX

@dataset{wannaphong_phatthiyaphaibun_2022_7761354,
  author       = {Wannaphong Phatthiyaphaibun},
  title        = {Thai NER 2.0},
  month        = sep,
  year         = 2022,
  publisher    = {Zenodo},
  version      = {2.0},
  doi          = {10.5281/zenodo.7761354},
  url          = {https://doi.org/10.5281/zenodo.7761354}
}