Question Answering through Transfer Learning

Question answering (QA) is a long-standing challenge in NLP, and the community has introduced several paradigms and datasets for the task over the past few years. These paradigms differ from each other in the type of questions and answers and the size of the training data, from a few hundreds to millions of examples.

Data and Resources

Cite this as

Sewon Min, Minjoon Seo, Hannaneh Hajishirzi (2025). Dataset: Question Answering through Transfer Learning. https://doi.org/10.57702/pz6az52z

DOI retrieved: January 3, 2025

Additional Info

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Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.1702.02171
Author Sewon Min
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Minjoon Seo
Hannaneh Hajishirzi
Homepage https://github.com/shmsw25/qa-transfer