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This dataset is used for intent recognition tasks, containing user queries and their corresponding correct intents. The dataset is divided into training and validation sets, used respectively for model training and performance evaluation.

The ATIS dataset is used in training and evaluation phases, containing 4,978 training sentences and 850 evaluation sentences. It is utilized for natural language understanding (NLU) training, involving tokenization, featurization, intent classification, and entity recognition and extraction.