---
license: mit
---


# 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

```bibtex
@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.}
}

```