VAried Stance Topics
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
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Stance Detection | TESTED | Topic-Guided Sampling For Data-Efficient Multi-Domain … | 2023-06-01 |
Recent papers with results on this dataset: