musiccaps
2 rows where aspect_list contains "no lyrics" and aspect_list contains "slow tempo"
This data as json, CSV (advanced)
aspect_list (array) 19 ✖
- no lyrics · 2 ✖
- slow tempo · 2 ✖
- acapella 1
- amateur recording 1
- ambient sounds 1
- autotune voice 1
- bass 1
- ethereal song 1
- female voice 1
- haunting melody 1
- male voices 1
- no instruments 1
- no percussion 1
- piano song 1
- romantic theme 1
- slow pop 1
- synth sounds 1
- vocables 1
- vocal harmony 1
ytid ▼ | url | caption | aspect_list | audioset_names | author_id | start_s | end_s | is_balanced_subset | is_audioset_eval | audioset_ids |
---|---|---|---|---|---|---|---|---|---|---|
-f6s6kQEHFY | This slow ballad features a female voice singing the main melody. This is accompanied by a repetitive piano melody. The bass plays the root notes of the chords in staccato style in eighth note patterns. Synth horns play in the background at different pitches. The song has an ambient and ethereal feel. The mood of the song is haunting. This song can be played in a sad scene in a movie. | ["slow pop", "ethereal song", "ambient sounds", "no lyrics", "female voice", "autotune voice", "piano song", "synth sounds", "slow tempo", "bass", "no percussion", "haunting melody"] | ["Music", "Sad music"] | 0 | 0 | 10 | 0 | 1 | ["/m/04rlf", "/t/dd00033"] | |
qwz7oLASJqg | This song features a pop song being sung by male voices in acapella . The voices sing the different parts of a choir. They are singing vocables and not words. The voices sing in harmony. Voices are singing the bass; alto and tenor parts. The mood of this song is romantic. This is an amateur recording. This song can be played in a romantic movie. | ["amateur recording", "acapella", "male voices", "vocal harmony", "no instruments", "slow tempo", "vocables", "no lyrics", "romantic theme"] | ["Vocal music", "A capella"] | 0 | 10 | 20 | 0 | 0 | ["/m/0y4f8", "/m/0z9c"] |
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 );