Which Malaysian artists are most represented in AI training data?

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Yuna and Tan Sri P. Ramlee show the highest representation among Malaysian artists in AI training datasets examined.

Yuna has 151 songs listed across all four datasets, while the late Tan Sri P. Ramlee has approximately 134 songs documented in one dataset. Datuk Seri Siti Nurhaliza is also notably represented with around 106 songs across two datasets.
Yuna's Extensive Presence Across Datasets

Malaysian R&B singer Yuna demonstrates the most substantial presence among the examined Malaysian artists, with 151 of her songs catalogued across the entirety of the four datasets investigated. This comprehensive inclusion suggests a significant volume of her work was accessible within the data used for AI model training.
Tan Sri P. Ramlee's Significant Archival Representation

The iconic late Malaysian artist Tan Sri P. Ramlee has approximately 134 songs identified within a single dataset. This number highlights the enduring legacy and accessibility of his musical contributions, even within the context of large-scale digital archives.
Datuk Seri Siti Nurhaliza's Substantial Song Count

National songstress Datuk Seri Siti Nurhaliza has a considerable number of her works included, with around 106 songs found across two of the examined datasets. This indicates a strong representation of her extensive discography within these specific data compilations.
Other Notable Malaysian Artists Identified

Beyond these prominent figures, several other Malaysian musical acts were also found within the datasets. These include the rock band Butterfingers, with 73 songs across two datasets, as well as artists such as Carburetor Dung, Fish Leong, Alleycats, Jess Lee, Spooky Wet Dreams, Hujan, Ziana Zain, and Dayang Nurfaizah.

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Which Malaysian artists are most represented in AI training data?

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