ITALIC: An ITALian Intent Classification Dataset

ITALIC is an intent classification dataset for the Italian language, which is the first of its kind. It includes spoken and written utterances and is annotated with 60 intents. The dataset is available on Zenodo and connectors ara available for the HuggingFace Hub.

Data collection

The data collection follows the MASSIVE NLU dataset which contains an annotated textual dataset for 60 intents. The data collection process is described in the paper Massive Natural Language Understanding.

Following the MASSIVE NLU dataset, a pool of 70+ volunteers has been recruited to annotate the dataset. The volunteers were asked to record their voice while reading the utterances (the original text is available on MASSIVE dataset). Together with the audio, the volunteers were asked to provide a self-annotated description of the recording conditions (e.g., background noise, recording device). The audio recordings have also been validated and, in case of errors, re-recorded by the volunteers.

All the audio recordings included in the dataset have received a validation from at least two volunteers. All the audio recordings have been validated by native italian speakers (self-annotated).