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28K Intent Classification Dataset with Slot Filling Annotations for NLU Models
intent classification dataset
intent recognition dataset
nlu dataset
slot filling dataset
conversational ai dataset
This dataset contains 28,237 manually created and annotated user utterances. Each sentence is labeled with intent categories and includes slot labels with corresponding slot values for structured information extraction. The dataset covers multiple conversational domains, including music, weather, dates, schedules, smart home devices, and other daily user scenarios. The dataset is suitable for training and evaluating intent recognition models, slot filling systems, conversational AI applications, voice assistants, and dialogue understanding models.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Content
intent-type single sentence annotation data
Label Content
Manually write sentences with corresponding intentions and make intent annotations
Specifications
Sample
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