Texts

BANKING77

Introduced in Efficient Intent Detection with Dual Sentence Encoders2020

About this Dataset

Dataset composed of online banking queries annotated with their corresponding intents.

BANKING77 dataset provides a very fine-grained set of intents in a banking domain. It comprises 13,083 customer service queries labeled with 77 intents. It focuses on fine-grained single-domain intent detection.

Source: Efficient Intent Detection with Dual Sentence Encoders

Dataset Variants

BANKING77BANKING77 10-shotBANKING77 5-shot

Papers1

Efficient Intent Detection with Dual Sentence Encoders

The usefulness and wide applicability of the proposed intent detectors are demonstrated, showing that they outperform intent detectors based on fine-tuning the full BERT-Large model or using BERT as a fixed black-box encoder on three diverse intent detection data sets.

Tasks

EDIT

Text Classification Intent Detection Open Intent Discovery

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