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---
license: mit
tags:
- NLP
---
# 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.}
}
``` |