path,reason
Nastaliq/Hate Speech/Domain_E_Inter_Faith_Sectarian_Ethnic,same tweets and labels as Hate Speech A (ISE Level-1 re-uses the 22K Offensive pool)
Nastaliq/Sentiment Analysis/Domain_D_Governance_Political,same texts and labels as Sentiment A
Roman/Sentiment Analysis/Domain_D_Utilities_Apps_Courses,"same 11,000-review corpus as Roman Sentiment B"
Roman/Twitter or Social Media Opinions/Domain_A_Twitter_Political_Social,"positive/negative items are the RUSAD corpus (= Roman Sentiment B); all neutral items come from a different source, so the label is predictable from the source"
Nastaliq/Fake News Detection/Domain_C_General_Pakistani_News,"fake and real items come from two separate files; fake items are largely fact-check verdicts, so the label is predictable from the source"
Nastaliq/Fake News Detection/Domain_D_Fact_Checking_Platform,"real items carry an outlet dateline (""92 News"", 90% of real vs 3.5% of fake items), so the label is predictable from the source"
Nastaliq/Sentiment Analysis/Domain_C_Civic_Social_Topics,"too small to evaluate (162 items, 33 in test; minimum is 100 test items)"