Dataset Open Access
Data for PAN at SemEval 2019 Task 4: Hyperpartisan News Detection
Johannes Kiesel;
Maria Mestre;
Rishabh Shukla;
Emmanuel Vincent;
David Corney;
Payam Adineh;
Benno Stein;
Martin Potthast
Training, validation, and test data for the PAN @ SemEval 2019 Task 4: Hyperpartisan News Detection.
See the README for details.
Files
(1.4 GB)
19,771
15,365
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 19,771 | 323 |
| Downloads | 15,365 | 522 |
| Data volume | 5.7 TB | 45.7 GB |
| Unique views | 16,218 | 242 |
| Unique downloads | 4,171 | 120 |
Indexed in
- Publication date:
- December 13, 2021
- DOI:
-
- Keyword(s):
- Hyperpartisan news SemEval SemEval 2019 SemEval 2019 Task 4 Biased news News bias Hyperpartisan Hyperpartisanship
- Meeting:
- International Workshop on Semantic Evaluation 2019 (SemEval-2019) (Session Task 4)
- Related identifiers:
- Referenced by
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International