| --- |
| license: mit |
| tags: |
| - NLP |
| --- |
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| # Spell-Check Dataset |
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| 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: |
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| - Spelling correction |
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| - Character-level sequence-to-sequence modeling |
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| - Error detection and correction in text |
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| Each data point in the dataset contains: |
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| - misspelled: A misspelled version of a word. |
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| - correct: The corrected spelling of the word. |
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| ## Notes |
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| The words were derived from the NLTK words corpus, which provides a comprehensive list of English words. |
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| ## Synthetic Misspellings |
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| Misspellings were programmatically generated using common spelling error patterns, including: |
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| - Character swaps: e.g., teh → the. |
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| - Extra characters: e.g., thhe → the. |
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| - Missing characters: e.g., th → the. |
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| - Keyboard proximity errors: e.g., grerb → gerb. |
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| ## Citation |
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| ```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.} |
| } |
| |
| ``` |
