metadata

license: cc-by-4.0
language:
  - fa
pretty_name: 'FAspell: Naturally-occurring Persian (Farsi) spelling mistakes'
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: main
        path: data/main-*
      - split: ocr
        path: data/ocr-*
dataset_info:
  features:
    - name: '#misspelt'
      dtype: string
    - name: corrected
      dtype: string
    - name: error-category
      dtype: int64
  splits:
    - name: main
      num_bytes: 192826
      num_examples: 4858
    - name: ocr
      num_bytes: 26547
      num_examples: 800
  download_size: 102727
  dataset_size: 219373

FASpell Dataset

Context

The FASpell dataset was developed to evaluate spell-checking algorithms. It consists of pairs of misspelled Persian (Farsi) words and their corresponding corrected forms, similar to the ASpell dataset used for English.

Content

The dataset is divided into two parts:

faspell_main: A list of 5050 pairs collected from errors made by elementary school pupils and professional typists.
faspell_ocr: A list of 800 pairs collected from the output of a Farsi OCR system.

Acknowledgements

The dataset is based on a work from http://pars.ie/lr/FAspell_Dataset. Please acknowledge the use of this dataset by referencing one of the following papers:

Barari, L., & QasemiZadeh, B. (2005). CloniZER spell checker adaptive language independent spell checker. In AIML 2005 Conference CICC, Cairo, Egypt (pp. 65-71).
QasemiZadeh, B., Ilkhani, A., & Ganjeii, A. (2006, June). Adaptive language independent spell checking using intelligent traverse on a tree. In Cybernetics and Intelligent Systems, 2006 IEEE Conference on (pp. 1-6). IEEE.

License

FASpell by Behrang QasemiZadeh is licensed under a Creative Commons Attribution 4.0 International License. This work is based on http://pars.ie/lr/FAspell_Dataset.

Inspiration

The dataset can be used to explore various questions, including:

Which kinds of misspellings occur more often?
Are certain characters more likely to be misspelled? Certain words?
Can you construct a finite state automaton spell checker for Persian based on this data?