v1.1: inclusion criteria, leakage-aware splits, rebuild script for unlicensed sources
3fcd003 verified Download excluded_candidates.csv from abdullaharoon/Urdu-Multi-Domain-Benchmark: direct link, hf CLI and curl.
- Browser
- Download file 1.13 kB
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https://huggingface.co/datasets/abdullaharoon/Urdu-Multi-Domain-Benchmark/resolve/main/excluded_candidates.csv
- Command line
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hf download hf://datasets/abdullaharoon/Urdu-Multi-Domain-Benchmark/excluded_candidates.csv
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curl -L -o excluded_candidates.csv https://huggingface.co/datasets/abdullaharoon/Urdu-Multi-Domain-Benchmark/resolve/main/excluded_candidates.csv
1.13 kB
| 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)" | |