Omkar2118/datasets huggingface dataset:
ProSLU
Full name: Profile-based Spoken Language Understanding

In the paper, to bridge the research gap, we propose a new and important task, Profile-based Spoken Language Understanding (ProSLU), which requires a model not only depends on the text but also on the given supporting profile information.
We further introduce a Chinese human-annotated dataset, with over 5K utterances annotated with intent and slots, and corresponding supporting profile information. 
In total, we provide three types of supporting profile information: 
(1) Knowledge Graph (KG) consists of entities with rich attributes, 
(2) User Profile (UP) is composed of user settings and information,
(3) Context Awareness(CA) is user state and environmental information.

Introducing paper: Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding