Update README.md

README.md

@@ -2,4 +2,12 @@
 license: mit
 language:
 - id
----
+datasets:
+- nlp-brin-id/unsup-content
+---
+
+Contrastive embedding trained unsupervisedly on longer claim (content section of the hoax report) of online public report for fake news detection.
+Model is trained based on contrastive loss and 'Fake news classification' as validation task.
+MLP is used as external classifier for validation task given the resulting embedding from trained model.
+
+Code implementation will be shared publicly soon.