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--- |
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task_categories: |
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- summarization |
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--- |
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# AutoTrain Dataset for project: musicprompt |
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## Dataset Description |
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This dataset has been automatically processed by AutoTrain for project musicprompt. |
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### Languages |
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The BCP-47 code for the dataset's language is unk. |
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## Dataset Structure |
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### Data Instances |
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A sample from this dataset looks as follows: |
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```json |
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[ |
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{ |
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"text": "['instrumental', 'medium tempo', 'electric guitar lead', 'ambient', 'steady drumming', 'groovy bass line', 'trumpets', 'melodic', 'pleasant', 'funky', 'groovy', 'soft rock', 'pop rock', 'funk rock', 'youthful', 'atmospheric', 'brass band', 'soul', 'neo soul', 'soothing', 'rhythmic acoustic guitar']", |
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"target": "This music is a melodic instrumental. The tempo is medium with a captivating electric guitar lead, rhythmic acoustic guitar, funky bass line, keyboard accompaniment, steady drumming and trumpets. The music is soothing, atmospheric, euphonious, youthful, and soulful. This instrumental is a Soft Rock/Funk pop." |
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}, |
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{ |
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"text": "['pianomusic/meditation', 'water soundsample', 'acoustic piano', 'reverb']", |
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"target": "This song contains a piano-composition with a lot of reverb playing a relaxing melody while running a waterdrippling sample. This song may be playing at home for meditation or sleeping." |
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} |
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] |
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``` |
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### Dataset Fields |
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The dataset has the following fields (also called "features"): |
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```json |
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{ |
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"text": "Value(dtype='string', id=None)", |
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"target": "Value(dtype='string', id=None)" |
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} |
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``` |
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### Dataset Splits |
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This dataset is split into a train and validation split. The split sizes are as follow: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 2159 | |
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| valid | 540 | |
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