VAST

VAried Stance Topics

Dataset Information
Modalities
Images, Texts
Introduced
2020
License
Unknown
Homepage

Overview

VAST consists of a large range of topics covering broad themes, such as politics (e.g., ‘a Palestinian state’), education (e.g., ‘charter schools’), and public health (e.g., ‘childhood vaccination’). In addition, the data includes a wide range of similar expressions (e.g., ‘guns on campus’ versus ‘firearms on campus’). This variation captures how humans might realistically describe the same topic and contrasts with the lack of variation in existing datasets.

Source: Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations

Variants: VAST

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Stance Detection TESTED Topic-Guided Sampling For Data-Efficient Multi-Domain … 2023-06-01

Research Papers

Recent papers with results on this dataset: