task_categories:token-classification language:th license:cc-by-3.0 region:us
---
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"

Thai Named Entity Recognition Corpus

Home Page: [https://pythainlp.github.io/Thai-NER/version/2](https://pythainlp.github.io/Thai-NER/version/2)

Training script and split data: [https://zenodo.org/record/7761354](https://zenodo.org/record/7761354)

**You can download .conll to train named entity model in [https://zenodo.org/record/7761354](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](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](https://huggingface.co/datasets/pythainlp/thainer-corpus-v2)

## 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}
}
```