musiccaps
1 row where aspect_list contains "addictive", aspect_list contains "emotional", aspect_list contains "energetic" and aspect_list contains "flat male vocal"
This data as json, CSV (advanced)
ytid ▼ | url | caption | aspect_list | audioset_names | author_id | start_s | end_s | is_balanced_subset | is_audioset_eval | audioset_ids |
---|---|---|---|---|---|---|---|---|---|---|
nSLxQLYYoNE | The low quality recording features a R&B song that consists of flat male vocals, alongside filtered background male vocals, singing over punchy kick and snare hits, shimmering cymbals, uptempo hi hats, distorted bass and repetitive synth lead melody. It sounds messy, as the frequencies are clashing with each other, but also energetic, emotional and addictive - like something you would quickly learn to sing along. | ["low quality", "r&b", "uptempo hi hats", "distorted bass", "repetitive synth lead melody", "filtered background male vocal", "punchy snare", "shimmering cymbals", "punchy kick", "flat male vocal", "energetic", "emotional", "addictive", "messy"] | ["Music", "Rapping", "Zing", "Hip hop music"] | 4 | 40 | 50 | 0 | 0 | ["/m/04rlf", "/m/06bxc", "/m/07p78v5", "/m/0glt670"] |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [musiccaps] ( [ytid] TEXT PRIMARY KEY, [url] TEXT, [caption] TEXT, [aspect_list] TEXT, [audioset_names] TEXT, [author_id] TEXT, [start_s] TEXT, [end_s] TEXT, [is_balanced_subset] INTEGER, [is_audioset_eval] INTEGER, [audioset_ids] TEXT );