FuzzTypes: A Python Library for Creating Custom Annotation Types that ‘Autocorrect’ Data

Managing and validating structured data efficiently poses a significant challenge in today’s digital age. Traditional methods of function calling or JSON schema validation often fall short, especially when dealing with large datasets or complex data structures. When faced with high-cardinality data, such as extensive ontologies or vast databases of information, existing solutions struggle to provide […]

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