musiccaps
5 rows where aspect_list contains "emotional", aspect_list contains "live performance" and aspect_list contains "people talking"
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 |
---|---|---|---|---|---|---|---|---|---|---|
IbD0zpcimgM | This music is instrumental. The tempo is fast with a spirited small pipe harmony with rhythmic foot tapping. The music is upbeat, engaging, sharp, humming, haunting, droning and cheerful. This a live performance with ambient sounds of people talking and static as this is an amateur recording. | ["instrumental", "fast tempo", "small pipe harmony", "droning", "haunting", "emotional", "passionate", "loud", "humming melody", "amateur recording", "rhythmic foot tapping", "live performance", "live audience", "static", "ambient sounds", "people talking", "bellows-blown bagpipe", "bagpiper", "woodwind", "chamber instrument"] | ["Bagpipes", "Wind instrument, woodwind instrument"] | 7 | 30 | 40 | 0 | 0 | ["/m/0192l", "/m/085jw"] | |
NgniX3tg_Mo | The low quality recording features a live performance of a traditional song and it consists of a flat male vocal singing over sustained strings melody and mellow, subtle percussive element. There are some people talking in the background, followed by a cough. It sounds passionate and emotional, even though the recording is noisy and in mono. | ["low quality", "traditional", "live performance", "noisy", "mono", "flat male vocal", "mellow wooden percussion", "sustained strings melody", "passionate", "emotional", "people talking", "cough"] | ["Tabla", "Drum", "Percussion"] | 4 | 50 | 60 | 0 | 0 | ["/m/01p970", "/m/026t6", "/m/0l14md"] | |
ew-7SwLcHBg | The song is an instrumental piece. The song is fast tempo with a glass harpist playing an extremely intricate solo with no other instrumentation . The song is magical and mysterious. The song is a live performance with ambient sounds of people talking in the background. | ["crystal glass harp solo", "glass harp", "live performance", "hissing tones", "people talking", "instrumental music", "mysterious", "adventurous", "magical journey", "instrumental music", "solo performance", "emotional", "passionate", "chromatic harmony", "fast tempo", "virtuoso glass harpist", "classic western music", "poor audio quality", "ambient noise"] | ["Tubular bells", "Glass", "Music"] | 1 | 70 | 80 | 0 | 1 | ["/m/016622", "/m/039jq", "/m/04rlf"] | |
jFek2xLbEww | A male singer raises this passionate melody. The song is medium tempo with an acoustic guitar accompaniment, groovy bass line and a subtle drumming rhythm. The song is passionate and relaxing. The song is played live and has poor audio quality. | ["male singer", "live performance", "groovy bass line", "medium tempo", "story telling", "ambient room nosiness", "people talking", "guitar accompaniment", "bass rhythm", "steady percussions", "folk music", "emotional", "energetic", "people talking", "poor audio quality", "folk music", "folk music", "guitarist"] | ["Singing", "Music", "Rattle (instrument)"] | 1 | 190 | 200 | 0 | 1 | ["/m/015lz1", "/m/04rlf", "/m/05r5wn"] | |
lUp9WnLYetg | The song is an instrumental. The tempo is medium with an aborigine playing a didgeridoo and a tapping rhythm in a percussive manner. The audio quality is bad with ambient crowd talking sounds. The music is traditional and deeply meditative in nature. | ["didgeridoo", "aboriginal didgeridoo", "groovy", "ethnic aboriginal instrument", "didgeridoo player", "people talking", "ambient noises", "hand percussions", "medium tempo", "instrumental music", "tapping rhythm", "percussive playing", "meditational", "traditional music", "ancient customs", "emotional", "passionate", "spirited", "spirit connection", "prayers", "live performance"] | ["Didgeridoo", "Music", "Speech"] | 1 | 30 | 40 | 0 | 0 | ["/m/02bxd", "/m/04rlf", "/m/09x0r"] |
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 );