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Dataset: Consumer Health Spelling Error Dataset

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Abstract: 

472 consumer health questions submitted to NLM, de-identified and annotated for spelling errors (non-word, real-word). For more information on this dataset, see Kilicoglu et al. (AMIA 2015).

Kilicoglu H. Dataset: Consumer Health Spelling Error Dataset