Spoken Language Understanding Evaluation (SLUE) is a suite of benchmark tasks for spoken language understanding evaluation. It consists of limited-size labeled training sets and corresponding evaluation sets. This resource would allow the research community to track progress, evaluate pre-trained representations for higher-level tasks, and study open questions such as the utility of pipeline versus end-to-end approaches. The first phase of the SLUE benchmark suite consists of named entity recognition (NER), sentiment analysis (SA), and ASR on the corresponding datasets.

Corpus includes:

• SLUE-VoxPopuli: consists of ASR and NER tasks - CC0 license
• SLUE-VoxCeleb: consists of ASR and SA tasks - CCBY 4.0 license