Published December 10, 2020 | Version 1.0
Dataset Open

Argument Mining Driven Analysis of Peer-Reviews Dataset

  • 1. LMU Munich


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 ( and the OpenReviewCrawler ( 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.


Files (58.9 MB)

Name Size Download all
58.9 MB Preview Download