musiccaps
3 rows where aspect_list contains "groovy" and audioset_ids contains "/m/0mkg"
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ytid ▼ | url | caption | aspect_list | audioset_names | author_id | start_s | end_s | is_balanced_subset | is_audioset_eval | audioset_ids |
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0u1sk49gAU0 | The low quality recording features a flat male vocal talking and playing a groovy accordion melody, before which a male and a female laugh. It sounds passionate and groovy. | ["low quality", "groovy accordion melody", "flat male vocal", "male laugh", "female laugh", "noisy", "mono", "passionate", "groovy"] | ["Accordion"] | 4 | 20 | 30 | 0 | 0 | ["/m/0mkg"] | |
ChqJYrmQIN4 | The low quality recording features a live performance of a folk song that consists of an accordion melody playing over groovy bass, shimmering hi hats, punchy snare and electric guitar melody. There are crowd chattering noises in the background. It sounds passionate and groovy. | ["low quality", "live performance", "crowd chattering", "folk", "groovy bass", "accordion melody", "electric guitar melody", "shimmering hi hats", "punchy snare", "passionate", "groovy"] | ["Singing", "Traditional music", "Music", "Musical instrument", "Orchestra", "Speech", "Music of Latin America", "Accordion"] | 4 | 50 | 60 | 0 | 0 | ["/m/015lz1", "/m/02p0sh1", "/m/04rlf", "/m/04szw", "/m/05pd6", "/m/09x0r", "/m/0g293", "/m/0mkg"] | |
o1E579RL33w | The song is an instrumental. The song is medium tempo with an accordion playing in an accompaniment style with both medley and harmony and no other instrumentation. The music is romantic and melancholic. The audio quality is poor. | ["accordion player", "accordion harmony", "youtube music video", "accordion lessons", "high gain music", "bad audio quality", "soloist", "home recording", "slow tempo", "lilting music", "emotional", "cheerful", "melancholic", "groovy", "romantic", "instrumental music", "emotional", "screechy tones"] | ["Accordion"] | 1 | 30 | 40 | 0 | 0 | ["/m/0mkg"] |
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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 );