A Bilingual Malay-English Social Media Dataset for Binary Hate Speech Detection (Data in Brief)

Despite the growing threats to safety and unity posed by online hate speech, Southeast Asian languages, such as Malay, are still underrepresented in NLP studies. By offering 26,985 multilingual Malay-English social media texts for binary hate speech categorization, the current dataset fills the gap. It provides high-confidence, quality-controlled entries that have been curated from five public sources and filtered using human annotation and pseudo-labelling. The dataset, which was created for multilingual machine learning applications, supports cross-lingual benchmarking, transformer-based classifiers, and instructional resources for populations that speak Malay and English.

https://www.sciencedirect.com/science/article/pii/S2352340925008741