musiccaps
2 rows where aspect_list contains "aerophone" and aspect_list contains "french horn"
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aspect_list (array) 27 ✖
- aerophone · 2 ✖
- french horn · 2 ✖
- instrumental 2
- wind instrument 2
- brass 1
- brass band 1
- brass instrument 1
- counting 1
- counting in french 1
- emphatic 1
- french horn solo 1
- french horn tutorial 1
- holding notes 1
- intricately coiled instrument 1
- keeping beat 1
- loud 1
- male voice 1
- male voice speaking 1
- minimalist 1
- monotone 1
- no accompaniment 1
- rich 1
- slow tempo 1
- the horn 1
- titanic music 1
- titanic soundtrack 1
- tutorial 1
ytid ▼ | url | caption | aspect_list | audioset_names | author_id | start_s | end_s | is_balanced_subset | is_audioset_eval | audioset_ids |
---|---|---|---|---|---|---|---|---|---|---|
YTYj8Bk0qM8 | This music is instrumental. The tempo is slow with a French Horn playing the Titanic soundtrack. The music is romantic, emotional, nostalgic, loud, lucid ,sad and poignant, mellow and sentimental. This music is a French Horn instrumental. | ["instrumental", "slow tempo", "french horn", "minimalist", "no accompaniment", "wind instrument", "brass", "brass band", "french horn solo", "titanic music", "titanic soundtrack", "loud", "emphatic", "aerophone", "wind instrument"] | ["Brass instrument", "French horn"] | 7 | 30 | 40 | 0 | 0 | ["/m/01kcd", "/m/0319l"] | |
gX9OuOKLLTQ | This music is an instrumental tutorial. A male musician is keeping count in French to the drone-like tune of a French Horn. The audio is not clear and has a lot of static. | ["instrumental", "monotone", "male voice", "brass instrument", "wind instrument", "aerophone", "rich", "intricately coiled instrument", "the horn", "french horn", "counting in french", "male voice speaking", "counting", "keeping beat", "tutorial", "french horn tutorial", "holding notes"] | ["Brass instrument", "Foghorn", "Musical instrument", "Speech"] | 7 | 70 | 80 | 0 | 0 | ["/m/01kcd", "/m/04fq5q", "/m/04szw", "/m/09x0r"] |
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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 );