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)
21,135
24,031
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 21,135 | 665 |
| Downloads | 24,031 | 1,057 |
| Data volume | 10.6 TB | 92.5 GB |
| Unique views | 17,168 | 513 |
| Unique downloads | 5,745 | 258 |
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