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README.md

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+SALT UNIMAS - SARAWAK LANGUAGE TECHNOLOGY 
+=====================================
+Faculty of Computer Science and Information Technology (FCSIT)
+Universiti Malaysia Sarawak (UNIMAS)
+
+ABOUT
+This organization hosts speech and language datasets developed by the
+Sarawak Language Technology (SaLT) research group at UNIMAS FCSIT.
+Our focus is on low-resource languages and dialects spoken in Sarawak,
+Malaysia — particularly Sarawak Malay and Iban.
+
+DATASETS
+
+1. sarawak-malay-asr
+   Language    : Sarawak Malay (ms)
+   Utterances  : 1,164
+   Duration    : ~1.9 hours
+   Speakers    : 42
+   Task        : Automatic Speech Recognition
+   Link        : https://huggingface.co/datasets/SaLTUNIMAS/sarawak-malay-asr
+
+2. iban-speech
+   Language    : Iban (iba)
+   Utterances  : ~2,977
+   Duration    : ~8 hours
+   Task        : Automatic Speech Recognition
+   Link        : https://huggingface.co/datasets/SaLTUNIMAS/iban-speech
+   Source      : https://github.com/sarahjuan/iban
+
+LANGUAGES COVERED
+  - Sarawak Malay  (low-resource dialect, Sarawak, Malaysia)
+  - Iban           (low-resource language, Sarawak, Malaysia)
+
+QUICK START
+  pip install datasets
+
+  # Load Sarawak Malay dataset
+  from datasets import load_dataset
+  ds = load_dataset("SaLTUNIMAS/sarawak-malay-asr")
+
+  # Load Iban dataset
+  ds = load_dataset("SaLTUNIMAS/iban-speech")
+
+CONTACT
+Faculty of Computer Science and Information Technology (FCSIT)
+Universiti Malaysia Sarawak (UNIMAS)
+94300 Kota Samarahan, Sarawak, Malaysia
+https://www.fcsit.unimas.my/