metadata

dataset_info:
  features:
    - name: inputs
      dtype: string
    - name: targets
      dtype: string
  splits:
    - name: train
      num_bytes: 61501042
      num_examples: 40000
    - name: test
      num_bytes: 15405020
      num_examples: 10000
  download_size: 34451480
  dataset_size: 76906062
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: cc-by-sa-3.0
task_categories:
  - text2text-generation
  - text-generation
language:
  - th
size_categories:
  - 10K<n<100K

Thai Misspell Correction

This dataset was create from VISTEC-TP-TH-21 dataset. It can use for training Thai Misspell correction model or LLM model.

Use case: Thai Misspell correction

inputs: Text
targets: Text correction

Domain: social media

VISTEC-TP-TH-21 dataset: https://github.com/mrpeerat/OSKut/tree/main/VISTEC-TP-TH-2021

Citation

@inproceedings{limkonchotiwat-etal-2021-handling,
    title = "Handling Cross- and Out-of-Domain Samples in {T}hai Word Segmentation",
    author = "Limkonchotiwat, Peerat  and
      Phatthiyaphaibun, Wannaphong  and
      Sarwar, Raheem  and
      Chuangsuwanich, Ekapol  and
      Nutanong, Sarana",
    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-acl.86",
    doi = "10.18653/v1/2021.findings-acl.86",
    pages = "1003--1016",
}