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Formatted the dataset description in README

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  TID-8 is a new benchmark focused on the task of letting models learn from data that has inherent disagreement.
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- Annotation Split:
 
 
 
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  We split the annotations for each annotator into train and test set.
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  In other words, the same set of annotators appear in both train, (val),
@@ -812,7 +815,10 @@ For datasets that do not have splits originally, we split the data into
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  train and test set for convenience, you may further split the train set
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  into a train and val set.
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- Annotator Split:
 
 
 
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  We split annotators into train and test set.
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  In other words, a different set of annotators would appear in train and test sets.
 
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  TID-8 is a new benchmark focused on the task of letting models learn from data that has inherent disagreement.
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+ ---
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+
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+ **Annotation Split**
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  We split the annotations for each annotator into train and test set.
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  In other words, the same set of annotators appear in both train, (val),
 
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  train and test set for convenience, you may further split the train set
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  into a train and val set.
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+ ---
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+ **Annotator Split**
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  We split annotators into train and test set.
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  In other words, a different set of annotators would appear in train and test sets.