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+NAME: IBM Debater(R) - ArgKP-2023
+
+VERSION: v1
+
+RELEASE DATE: December 5, 2023
+
+DATASET OVERVIEW
+
+9,281 (argument, key point) pairs labeled as matching/non-matching/undecided, for 10 controversial topics. 
+For each pair, the topic and stance are also indicated.
+
+The dataset is released under the following licensing and copyright terms:
+• (c) Copyright IBM 2023. Released under Community Data License Agreement – Sharing, Version 1.0 (https://cdla.io/sharing-1-0/).
+
+The dataset is described in the following publication (referred to as the "ArgKP-Large" test set): 
+
+• Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis. Lilach Eden, Yoav Kantor, Matan Orbach, Yoav Katz, Noam Slonim, Roy Bar-Haim. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track. 2023
+
+
+Please cite this paper if you use the dataset.
+
+CONTENTS
+
+The CSV file, ArgKP-2023_dataset.csv, contains the following columns for each (argument, key point) pair:
+1. topic
+2. argument
+3. key_point	
+4. stance: 1 (pro) / -1 (con)
+5. label: 1 (matching)/ 0 (non-matching)/ -1 (undecided)
+
+Note: In the experiments described in the paper, the undecided examples were excluded.