How many songs did The Atlantic say are in those datasets?

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The Atlantic Reported Over 21 Million Songs in AI Datasets

The Atlantic's investigation uncovered four large datasets containing more than 21 million songs that are circulating within the artificial intelligence development community. These datasets are part of a broader effort to understand the extent of music used in AI model training.
Overview of the Datasets

Journalist Alex Reisner, writing for The Atlantic, identified four substantial datasets comprising over 21 million individual song titles. These collections are reportedly being used by AI developers. The Atlantic subsequently launched "The AI Watchdog," a search engine designed to allow public access to check for the presence of specific works within these datasets.
Malaysian Artistes' Presence

A review of these datasets revealed a significant number of songs by Malaysian artists. At least 1,000 songs from various Malaysian musicians were found listed. This includes prominent figures such as Datuk Seri Siti Nurhaliza, who has approximately 106 songs across two datasets, and the late Tan Sri P. Ramlee, with about 134 songs in one dataset.
Notable Malaysian Artists Included

Further examination highlights the inclusion of several well-known Malaysian artists. R&B singer Yuna has 151 songs listed across all four datasets, while the rock band Butterfingers has 73 songs spread over two. Other Malaysian acts identified in these collections include Carburetor Dung, Fish Leong, Alleycats, Jess Lee, Spooky Wet Dreams, Hujan, Ziana Zain, and Dayang Nurfaizah.
Data Source and Caveats

The presence of these songs in the datasets is partly attributed to links to music hosted on popular platforms like YouTube and Spotify, which host a wide range of global music. However, The Atlantic has cautioned that inclusion in these datasets does not definitively confirm that a song was used to train an AI model, nor does its absence guarantee it was never used.

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How many songs did The Atlantic say are in those datasets?

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