Table 3.
Genres that appear more than 1000 times in either the unique Sleep music dataset or that appeared more than 1000 times in the unique Study music dataset sorted in descending order according to their prevalence in the Study dataset.
| Genre | Study unique tracks (N = 109,628) Number of occurrences (percentage in the unique dataset) |
Sleep unique tracks (N = 130,150) Number of occurrences (percentage in the unique dataset) |
|---|---|---|
| Pop | 15,113 (13.79%) | 14,121 (10.85%) |
| Lo-fi | 13,048 (11.90%) | 6149 (4.72%) |
| Classical | 7828 (7.14%) | 3907 (3.00%) |
| Soundtrack | 7109 (6.48%) | 2028 (1.56%) |
| Instrumental | 3547 (3.23%) | 3275 (2.52%) |
| Jazz | 2969 (2.71%) | 4167 (3.20%) |
| House | 2822 (2.57%) | < 1000 (< 1%) |
| Sleep | 2319 (2.11%) | 18,730 (14.40%) |
| Rap | 2160 (1.97%) | 4444 (3.42%) |
| Ambient | 1923 (1.75%) | 7466 (5.74%) |
| Indie | 1716 (1.56%) | 2101 (1.61%) |
| Rock | 1639 (1.50%) | 2550 (1.96%) |
| Background | 1073 (< 1%) | 1970 (1.51%) |
| Electronic | 1064 (< 1%) | < 1000 (< 1%) |
| Lullaby | < 1000 (< 1%) | 3519 (2.70%) |
| Meditation | < 1000 (< 1%) | 2006 (1.54%) |
| Folk | < 1000 (< 1%) | 1520 (1.17%) |
| Country | < 1000 (< 1%) | 1172 (< 1%) |
| Christian | < 1000 (< 1%) | 1117 (< 1%) |
| World | < 1000 (< 1%) | 1093 (< 1%) |
| R&B | < 1000 (< 1%) | 1052 (< 1%) |
Many tracks of each dataset, 10,792 tracks of Study music (9.4%) and 11,624 (8.9%) tracks of Sleep music, were unable to be categorised due to their obscure genre labels. Furthermore, there were 782 uncategorized genres in the Study dataset and 789 in the Sleep dataset. These genres, such as ‘otacore’ or ‘dangdut’, were not able to be matched to any of the genre categories defined in Table 2. There were relatively few of each of these genres, with the most prevalent Study uncategorised genre being ‘chillhop’ with 722 occurrences and ‘drift’ as the most prevalent uncategorised Sleep genre with 545 occurrences, meaning that their inclusion as a new genre would not have altered this table.