Name: WikiQAar
Description: WIKIQAar is a bilingual English--Arabic Question Answering corpus built on top of WIKIQA
Provider: QCRI
Paper Title: WIKIQA: A Challenge Dataset for Open-Domain Question Answering
Tasks: question answering
Venue Name: Empirical Methods in Natural Language Processing
Authors: Yi Yang, Wen-tau Yih Christopher Meek
Abstract: We describe the WIKIQA dataset, a new
  publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering. Most previous work on answer sentence selection focuses on a dataset created using the TREC-QA data, which
  includes editor-generated questions and
  candidate answer sentences selected by
  matching content words in the question.
  WIKIQA is constructed using a more natural process and is more than an order of
  magnitude larger than the previous dataset.
  In addition, the WIKIQA dataset also includes questions for which there are no
  correct sentences, enabling researchers to
  work on answer triggering, a critical component in any QA system. We compare
  several systems on the task of answer sentence selection on both datasets and also
  describe the performance of a system on
  the problem of answer triggering using the
  WIKIQA dataset.