region:us
The dataset contains question-answer pairs to model verbal predicate-argument structure. 
The questions start with wh-words (Who, What, Where, What, etc.) and contain a verb predicate in the sentence; the answers are phrases in the sentence.
This dataset loads the train split from "QASRL Bank", a.k.a "QASRL-v2" or "QASRL-LS" (Large Scale), 
which was constructed via crowdsourcing and presented at (FitzGeralds et. al., ACL 2018), 
and the dev and test splits from QASRL-GS (Gold Standard), introduced in (Roit et. al., ACL 2020).
@inproceedings{fitzgerald2018large,
  title={Large-Scale QA-SRL Parsing},
  author={FitzGerald, Nicholas and Michael, Julian and He, Luheng and Zettlemoyer, Luke},
  booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={2051--2060},
  year={2018}
}
@inproceedings{roit2020controlled,
  title={Controlled Crowdsourcing for High-Quality QA-SRL Annotation},
  author={Roit, Paul and Klein, Ayal and Stepanov, Daniela and Mamou, Jonathan and Michael, Julian and Stanovsky, Gabriel and Zettlemoyer, Luke and Dagan, Ido},
  booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
  pages={7008--7013},
  year={2020}
}
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