torinriley/spell-correction

Spell-Check Dataset

This dataset consists of pairs of misspelled words and their corresponding correctly spelled words, designed for training and evaluating character-level spelling correction models. It is particularly useful for tasks such as:

• Spelling correction

• Character-level sequence-to-sequence modeling

• Error detection and correction in text

Each data point in the dataset contains:

• misspelled: A misspelled version of a word.

• correct: The corrected spelling of the word.

Notes

The words were derived from the NLTK words corpus, which provides a comprehensive list of English words.

Synthetic Misspellings

Misspellings were programmatically generated using common spelling error patterns, including:

• Character swaps: e.g., teh → the.

• Extra characters: e.g., thhe → the.

• Missing characters: e.g., th → the.

• Keyboard proximity errors: e.g., grerb → gerb.

Citation

@dataset{etheridge2025spellcorrection,
  author       = {Torin Etheridge},
  title        = {Spell-Correction Dataset: Misspelled to Corrected Word Pairs},
  year         = {2025},
  publisher    = {Hugging Face},
  journal      = {Hugging Face Datasets},
  url          = {https://huggingface.co/datasets/torinriley/spell-correction},
  note         = {A dataset for training and evaluating character-level spelling correction models.}
}