thainer-corpus-v2.2 / README.md
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metadata
language:
  - th
license: cc-by-3.0
task_categories:
  - token-classification
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
  splits:
    - name: train
      num_bytes: 3739947
      num_examples: 4379
    - name: validation
      num_bytes: 1215876
      num_examples: 1475
    - name: test
      num_bytes: 1243881
      num_examples: 1472
  download_size: 999069
  dataset_size: 6199704
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

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

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}
}