musiccaps
2 rows where aspect_list contains "crowd talking" and aspect_list contains "emotional"
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aspect_list (array) 20 ✖
- crowd talking · 2 ✖
- emotional · 2 ✖
- low quality 2
- passionate 2
- clapping 1
- crowd clapping 1
- gospel 1
- groovy piano melody 1
- harmonizing female vocals 1
- harp melody 1
- live performance 1
- mixed harmonized vocals 1
- mono 1
- noisy 1
- passionate female vocal 1
- playback 1
- romantic 1
- simple bass 1
- soul 1
- sustained strings melody 1
ytid ▼ | url | caption | aspect_list | audioset_names | author_id | start_s | end_s | is_balanced_subset | is_audioset_eval | audioset_ids |
---|---|---|---|---|---|---|---|---|---|---|
PuJxL6tLxm4 | The low quality recording features a crowd talking and clapping to a soul song that is played on a playback. The song consists of a passionate female vocal, alongside mixed harmonizing vocals, singing over sustained strings melody, simple bass and harp melody. It sounds emotional and passionate. | ["low quality", "crowd talking", "crowd clapping", "simple bass", "harp melody", "passionate female vocal", "mixed harmonized vocals", "sustained strings melody", "soul", "passionate", "emotional", "live performance", "playback"] | ["Singing", "Music of Asia", "Music"] | 4 | 110 | 120 | 0 | 0 | ["/m/015lz1", "/m/028sqc", "/m/04rlf"] | |
sytdnmy0sRs | The low quality recording features a gospel song that consists of harmonizing female vocals singing over groovy piano melody and some clapping. There are crowd talking noises in the background, while the recording is in mono and noisy. It sounds emotional, passionate and romantic - like something you would hear at weddings. | ["low quality", "mono", "noisy", "crowd talking", "gospel", "clapping", "harmonizing female vocals", "groovy piano melody", "passionate", "emotional", "romantic"] | ["Music", "Wedding music", "Happy music"] | 4 | 30 | 40 | 0 | 0 | ["/m/04rlf", "/m/04wptg", "/t/dd00031"] |
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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 );