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--- |
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dataset_info: |
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features: |
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- name: caption_id |
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dtype: int64 |
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- name: track_id |
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dtype: int64 |
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- name: caption |
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dtype: string |
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- name: is_valid_subset |
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dtype: bool |
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- name: familiarity |
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dtype: int64 |
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- name: artist_id |
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dtype: int64 |
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- name: album_id |
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dtype: int64 |
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- name: path |
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dtype: |
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audio: |
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decode: false |
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- name: duration |
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dtype: float64 |
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- name: __index_level_0__ |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 3543021978.0 |
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num_examples: 746 |
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download_size: 2591774807 |
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dataset_size: 3543021978.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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This is a mirror to the example dataset "The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation" paper by Manco et al. |
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Project page on Github: https://github.com/mulab-mir/song-describer-dataset |
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Dataset on Zenodoo: https://zenodo.org/records/10072001 |
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Explore the dataset on your local machine: |
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```python |
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import datasets |
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from renumics import spotlight |
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ds = datasets.load_dataset('renumics/song-describer-dataset') |
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spotlight.show(ds) |
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``` |
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