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Published October 11, 2022 | Version 1.0
Dataset Open

Webis Causal Question Answering 2022

  • 1. Martin-Luther-Univeristät Halle-Wittenberg
  • 2. Bauhaus-Universität Weimar
  • 3. Paderborn University
  • 4. Ural Federal University
  • 5. Leipzig University


The Webis Causal Question Answering 2022 (Webis-CausalQA-22) corpus comprises 1.1M causal question-answer pairs collected from the public QA datasets. This dataset was developed to support the development of tailored approaches that can answer causal questions.


The directory "input" contains the train and validation splits (used for evaluation), the directory "output" contains the evaluation results, and the directory "models" includes the fine-tuned checkpoints.




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