Datasets:
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upd md
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README.md
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@@ -97,24 +97,6 @@ The Default dataset comprises approximately 1,700 musical pieces in .mp3 format,
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</style>
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### Default Subset
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<table class="genres">
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<tr>
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<th>audio</th>
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<th>mel (spectrogram)</th>
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<th>fst_level_label (2-class)</th>
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<th>sec_level_label (9-class)</th>
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<th>thr_level_label (16-class)</th>
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</tr>
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<tr>
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<td>.wav, 22050Hz</td>
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<td>.jpg, 22050Hz</td>
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<td>1_Classic / 2_Non_classic</td>
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<td>3_Symphony / 4_Opera / 5_Solo / 6_Chamber / 7_Pop / 8_Dance_and_house / 9_Indie / 10_Soul_or_r_and_b / 11_Rock</td>
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<td>3_Symphony / 4_Opera / 5_Solo / 6_Chamber / 12_Pop_vocal_ballad / 13_Adult_contemporary / 14_Teen_pop / 15_Contemporary_dance_pop / 16_Dance_pop / 17_Classic_indie_pop / 18_Chamber_cabaret_and_art_pop / 10_Soul_or_r_and_b / 19_Adult_alternative_rock / 20_Uplifting_anthemic_rock / 21_Soft_rock / 22_Acoustic_pop</td>
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</tr>
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</table>
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### Eval Subset
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<table class="genres">
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<tr>
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### Data Splits
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## Dataset Description
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### Dataset Summary
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}
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</style>
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### Eval Subset
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<table class="genres">
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<tr>
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### Data Splits
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| Splits | Eval |
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| :-------------: | :---: |
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| train(80%) | 29100 |
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| validation(10%) | 3637 |
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| test(10%) | 3638 |
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| total | 36375 |
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## Dataset Description
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### Dataset Summary
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