13 datasets found

The dataset used in this paper is SST-2, Irony, IronyB, TREC6, and SNIPS.

The ATIS dataset contains a set of flight schedule query sessions, each of which consists of a sequence of spoken queries (utterances). Each query contains automatic speech...

CLINIC150 dataset

The dataset used in the paper for semi-supervised intent classification

The Banking77 dataset is a specialized dataset for intent classification in the banking domain.

The Fluent Speech Commands (FSC) dataset is used for intent classification.

The SNIPS dataset encompasses seven distinct intents spanning across multiple domains.

The CLINIC dataset spans ten domains, encompassing a total of 22,500 in-scope queries categorized into 150 distinct intents.

The BANKING dataset comprises 13,083 customer service queries in the banking domain, which are categorized into 77 unique intents.

This paper presents a Soft Labeling and Noisy Mixup-based open intent classification model (SNOiC). Most of the previous works have used threshold-based methods to identify open...

The ATIS dataset is a benchmark dataset for spoken language understanding, consisting of audio recordings and corresponding manual transcripts about humans asking for flight...

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

The BANKING dataset is an intent classification dataset in the banking domain.