SUGAR Dataset

The Sugar Dataset is a corpus of spoken commands, consisting of 2293 audio files produced by 36 different speakers and annotated by two linguistic experts for the action expressed.<p>Actions are annotated as a finite set of predicates accepting an open set of parameters. For example, the action of putting may refer to a pot being placed on the fire and expressed with the predicate “put(pot, fire)”.</p><p>The training set consists of 1721 utterances (and therefore 1721 audio files) produced by 36 different speakers annotated by two linguistic experts. </p><p>The test set consists of about 572 audio files containing uttered commands without annotations. </p><p>The dataset was created and used in the context of the SUGAR task (https://sites.google.com/view/sugar-evalita/), organised as part of the EVALITA 2018 evaluation campaign (http://www.evalita.it/2018). The task challenged participants to train a voice-controlled robotic agent to act as a cooking assistant.</p><p></p>