Code and Datasets

MASSIVE

Jack G. M. FitzGerald, Chris Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gokhan Tur, Prem Natarajan

2022

Last updated July 20, 2023

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MASSIVE is a parallel dataset of > 1M utterances across 52 languages with annotations for the Natural Language Understanding tasks of intent prediction and slot annotation. Utterances span 60 intents and include 55 slot types. MASSIVE was created by localizing the Spoken Language Understanding Resource Package (SLURP) dataset, composed of general intelligent voice assistant single-shot interactions.

Types

Tool, Model

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