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  The dataset contains 100 short text entries, each about 150–200 characters, describing common food items from five cuisines. Each sample has two features: the text (a short description) and the cuisine (the categorical label to predict). To expand the data, 1,000 synthetic samples were created using simple augmentation methods such as synonym replacement, ingredient swaps, small rephrasings, and adding or removing minor details.
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  - **Curated by:** Scotty McGee
 
 
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  The dataset contains 100 short text entries, each about 150–200 characters, describing common food items from five cuisines. Each sample has two features: the text (a short description) and the cuisine (the categorical label to predict). To expand the data, 1,000 synthetic samples were created using simple augmentation methods such as synonym replacement, ingredient swaps, small rephrasings, and adding or removing minor details.
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+ ### Dataset Intended Use
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+ For AI ML practice.
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+ ### Out of Scope Use
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+ To predict food cuisines based on descriptions.
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+ ### Dataset Structure
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+ The data has two columns, one for the description and one for the classification of cuisine, both strings.
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+ ### Personal and Sensitive Information
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+ This data does not contain personal or sensitive information.
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  - **Curated by:** Scotty McGee
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+ - **Language:** English