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Update README.md

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@@ -10,9 +10,9 @@ language:
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  - All duplicate values were removed
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  - Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
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  - Split: 80/10/10
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- - Train set label distribution: 0 ==> 11.210, 1 ==> 14.853
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- - Validation set label distribution: 0 ==> 1.401, 1 ==> 1.857
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- - Test set label distribution: 0 ==> 1.401, 1 ==> 1.857
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  - Combination of 4 publicly available datasets:
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  - 1. "Ethos" dataset (Mollas et al., 2022)
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  - 2. HateCheck: Functional Tests for Hate Speech Detection Models (Rottger et al., 2021)
 
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  - All duplicate values were removed
11
  - Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
12
  - Split: 80/10/10
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+ - Train set label distribution: 0 ==> 11.210, 1 ==> 14.853, 2.6063 in total
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+ - Validation set label distribution: 0 ==> 1.401, 1 ==> 1.857, 3.258 in total
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+ - Test set label distribution: 0 ==> 1.401, 1 ==> 1.857, 3.258 in total
16
  - Combination of 4 publicly available datasets:
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  - 1. "Ethos" dataset (Mollas et al., 2022)
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  - 2. HateCheck: Functional Tests for Hate Speech Detection Models (Rottger et al., 2021)