Datasets:

DaniFrame
/

AFRLA-instance-level-results

Tasks:

Tabular Regression

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DaniFrame commited on Sep 2, 2024

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@@ -1208,7 +1208,7 @@ The dataset presents eleven sections (one per regression task), with varying deg
 ## Partitions and versions
-The sections are already partitioned into a predefined train-validation-test split for training assessors. Assessors need a particular kind of partitioning (mainly stratified by instance identifier to avoid contamination), so that's why the subset are given.
 The **main** branch contains the unaltered datasets, keeping the original values of the task and model characteristics, whereas the **normalised** branch contains the datasets properly normalised.

 ## Partitions and versions
+The sections are already partitioned into a predefined train-validation-test split for training assessors. Assessors need a particular kind of partitioning (mainly stratified by instance identifier to avoid contamination), so that's why the subsets are given.
 The **main** branch contains the unaltered datasets, keeping the original values of the task and model characteristics, whereas the **normalised** branch contains the datasets properly normalised.