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# IfQA | ||
## IfQA dataset | ||
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### Introduction of IfQA | ||
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- IfQA if a open-domain question answering dataset where each question is based on a counterfactual presupposition via an ``if'' clause. For example, if Los Angeles was on the east coast of the U.S., what would be the time difference between Los Angeles and Paris? | ||
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- Such questions require models to go beyond retrieving direct factual knowledge from the Web: they must identify the right information to retrieve and reason about an imagined situation that may even go against the facts built into their parameters. | ||
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- The IfQA dataset contains 3,800 questions that were annotated by crowdworkers on relevant Wikipedia passages. We hope the unique challenges posed by IfQA will push open-domain QA research on both retrieval and reasoning fronts, while also helping endow counterfactual reasoning abilities to today's language understanding models. | ||
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<img src="images/ifqa.png" width="600" align=center> | ||
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### Citation | ||
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``` | ||
@inproceedings{yu2023ifqa, | ||
title={IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions}, | ||
author={Yu, Wenhao and Jiang, Meng and Clark, Peter and Sabharwal, Ashish}, | ||
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing}, | ||
year={2023} | ||
} | ||
``` |
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