XOR-ATTRIQA

The XOR-ATTRIQA dataset is a classification task where model is asked to predict whether the provided answer to the question is supported by the given passage context, which includes 5 languages with 262 examples total.

Data and Resources

Cite this as

Xinyi Wang, John Wieting, Jonathan H. Clark (2025). Dataset: XOR-ATTRIQA. https://doi.org/10.57702/9yq8pta9

DOI retrieved: January 3, 2025

Additional Info

Field Value
Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.2309.04663
Author Xinyi Wang
More Authors
John Wieting
Jonathan H. Clark
Homepage https://arxiv.org/abs/2305.14332