Dataset Open Access
Fromm;
Berrendorf;
Faerman;
Seidl
Argument Mining in Scientific Reviews (AMSR)
We release a new dataset of peer-reviews from different computer science conferences with annotated arguments, called AMSR (Argument Mining in Scientific Reviews).
The dataset has been crawled by the OpenReview platform (https://openreview.net/) and the OpenReviewCrawler (https://openreview-py.readthedocs.io/en/latest/getting data.html)
From 12,135 collected papers and reviews, we sample 77 for the annotation.
We use a simple argumentation scheme, which distinguishes between non-arguments, supporting arguments, and attacking arguments, which we denote as NON/PRO/CON accordingly.
All versions | This version | |
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Views | 496 | 496 |
Downloads | 91 | 91 |
Data volume | 5.4 GB | 5.4 GB |
Unique views | 397 | 397 |
Unique downloads | 78 | 78 |