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emotion-english-distilroberta-base

Text Classification

Inference Endpoints

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j-hartmann commited on Jun 21, 2021

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@@ -53,4 +53,6 @@ Please find an overview of the datasets used for training below. All datasets co
 |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|
-|SemEval-2018, EI-reg (Mohammad et al. 2018) |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|
+|SemEval-2018, EI-reg (Mohammad et al. 2018) |Yes|-|Yes|Yes|-|Yes|-|
+The datasets represent a diverse set of text types. Specifically, they contain emotion labels for texts from Twitter, Reddit, student self-reports, and utterances from TV dialogues. As MELD (Multimodal EmotionLines Dataset) extends the EmotionLines dataset, EmotionLines itself is not included here.