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  ## Overview
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- The **Clear Spelling Dataset** is a carefully crafted collection of **100,000 unique English spelling mistakes and their correct forms**, intended for training high-quality typo correction and spell checking AI models. It covers various types of common mistakes observed frequently in real-world scenarios, such as:
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  - Keyboard adjacency typos
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  - Letter swaps and omissions
 
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  ## Overview
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+ The **Mistake to Meaning** (M2M) dataset is a carefully crafted synthetic collection of **100,000 unique English spelling mistakes and their correct forms**, intended for training high-quality typo correction and spell checking AI models. It covers various types of common mistakes observed frequently in real-world scenarios, such as:
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  - Keyboard adjacency typos
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  - Letter swaps and omissions