- +
+
- Records ({{ total | formatNumber }}) -
- - - - - diff --git a/frontend/components/commons/results/ResultsList.vue b/frontend/components/commons/results/ResultsList.vue index d850b28101..d0fd94f95e 100644 --- a/frontend/components/commons/results/ResultsList.vue +++ b/frontend/components/commons/results/ResultsList.vue @@ -72,7 +72,6 @@+ Argilla enables you to register token attributions as part of the + dataset records. For getting token attributions, you can use methods + such as Integrated Gradients or SHAP. These methods try to provide a + mechanism to interpret model predictions. +
+The attributions work as follows:
++ [0,1] Positive attributions (in blue) reflect those + tokens that are making the model predict the specific predicted label. +
++ [-1, 0] Negative attributions (in red) reflect those + tokens that can influence the model to predict a label other than the + specific predicted label. +
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