SemEvalWorkshop/hyperpartisan_news_detection
Hyperpartisan News Detection was a dataset created for PAN @ SemEval 2019 Task 4. Given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person. There are 2 parts: - byarticle: Labeled through crowdsourcing on an article basis. The data contains only articles for which a consensus among the crowdsourcing workers existed. - bypublisher: Labeled by the overall bias of the publisher as provided by BuzzFeed journalists or MediaBiasFactCheck.com.
Host data files (#5)
Fix URL for the validation split (#4)
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
Replace YAML keys from int to str (#1)
add dataset_info in dataset metadata
remove dummmy data
fix task_ids
Fix missing tags in dataset cards (#4931)
Align more metadata with other repo types (models,spaces) (#4607)
Remove a copy-paste sentence in dataset cards (#4281)
Update files from the datasets library (from 1.18.0)
Update files from the datasets library (from 1.8.0)
Update files from the datasets library (from 1.7.0)
Update files from the datasets library (from 1.6.0)
Update files from the datasets library (from 1.4.0)
Update files from the datasets library (from 1.3.0)
Update files from the datasets library (from 1.0.0)