From ab82646b3e139affd2ece443d1d5aaa67a6edf9d Mon Sep 17 00:00:00 2001 From: Hartmann Date: Mon, 21 Jun 2021 06:27:54 +0000 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index ce08ab8..2f20f88 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ With this model, you can classify emotions in English text data. The model was t 6) sadness 7) surprise -The model is a fine-tuned checkpoint of DistilRoBERTa-base. The emotions reflect Ekman's 6 universal emotions, plus a neutral class. +The model is a fine-tuned checkpoint of DistilRoBERTa-base. The emotions reflect Ekman's 6 basic emotions, plus a neutral class. ## Application @@ -49,7 +49,7 @@ Please find an overview of the datasets used for training below. All datasets co |Name|anger|disgust|fear|joy|neutral|sadness|surprise| |---|---|---|---|---|---|---|---| |Crowdflower (2016)|Yes|-|-|Yes|Yes|Yes|Yes| -|Emotion Dataset, Elvis et al. (2018)|Yes|Yes|Yes|Yes|-|Yes|Yes| +|Emotion Dataset, Elvis et al. (2018)|Yes|-|Yes|Yes|-|Yes|Yes| |GoEmotions, Demszky et al. (2020)|Yes|Yes|Yes|Yes|Yes|Yes|Yes| |ISEAR, Vikash (2018)|Yes|Yes|Yes|Yes|-|Yes|-| |MELD, Poria et al. (2019)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|