Published October 11, 2022
| Version 1.0
Dataset
Open
Webis Causal Question Answering 2022
Creators
- 1. Martin-Luther-Univeristät Halle-Wittenberg
- 2. Bauhaus-Universität Weimar
- 3. Paderborn University
- 4. Ural Federal University
- 5. Leipzig University
Description
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.
Overview:
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.
Files
Webis-CausalQA-22-v-1.0.zip
Files
(17.1 GB)
| Name | Size | Download all |
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md5:17c9faa3220443655a2422c1fcb56219
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17.1 GB | Preview Download |