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Update README.md

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@@ -35,10 +35,16 @@ configs:
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  - split: train
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  path: data/train-*
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  license: cc-by-4.0
 
 
 
 
 
 
 
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  ---
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  The SCHAEFFER dataset (Spectro-morphogical Corpus of Human-annotated Audio with Electroacoustic Features for Experimental Research), is a compilation of 788 raw audio data accompanied by human annotations and morphological acoustic features.
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  The audio files adhere to the concept of Sound Objects introduced by Pierre Scaheffer, a framework for the analysis and creation of sound that focuses on its typological and morphological characteristics.
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  Inside the dataset, the annotation are provided in the form of free text, while the labels are pre-chosen from a list of classes, making the sound description fit into a suitable framework for digital analysis.
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- All the sounds within the dataset are under a "CC-By-4.0-attribution" license.
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-
 
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  - split: train
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  path: data/train-*
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  license: cc-by-4.0
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+ task_categories:
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+ - text-to-audio
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+ - audio-classification
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+ language:
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+ - en
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+ size_categories:
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+ - n<1K
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  ---
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  The SCHAEFFER dataset (Spectro-morphogical Corpus of Human-annotated Audio with Electroacoustic Features for Experimental Research), is a compilation of 788 raw audio data accompanied by human annotations and morphological acoustic features.
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  The audio files adhere to the concept of Sound Objects introduced by Pierre Scaheffer, a framework for the analysis and creation of sound that focuses on its typological and morphological characteristics.
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  Inside the dataset, the annotation are provided in the form of free text, while the labels are pre-chosen from a list of classes, making the sound description fit into a suitable framework for digital analysis.
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+ All the sounds within the dataset are under a "CC-By-4.0-attribution" license.