| 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. |