For anyone else who was curious about the song selection process: <quote> How did you choose the million tracks? Choosing a million songs is surprisingly cha

For anyone else who was curious about the song selection process: <quote> How did you choose the million tracks? Choosing a million songs is surprisingly challenging. We followed these steps: 1. Getting the most 'familiar' artists according to The Echo Nest, then downloading as many songs as possible from each of them 2. Getting the 200 top terms from The Echo Nest, then using each term as a descriptor to find 100 artists, then downloading as many of their songs as possible 3. Getting the songs and artists from the CAL500 dataset 4. Getting 'extreme' songs from The Echo Nest search params, e.g. songs with highest energy, lowest energy, tempo, song hotttnesss, ... 5. A random walk along the similar artists links starting from the 100 most familiar artists The number of songs was approximately 8950 after step 1), step 3) added around 15000 songs, and we add approx. 500000 songs before starting step 5. For more technical details, see "dataset creation" in the "code" tab. </quote>[1] What I really wanted to know was if it was a worldwide-music dataset or a more narrowly focused one. My guess based on the above is that it's mostly English-language music, mostly American - can someone who's worked with the data confirm/deny that? [1] http://millionsongdataset.com/faq/#how-did-you-choose-million-tracks http://millionsongdataset.com/faq/#how-did-you-choose-millio...