CARER (Contextualized Affect Representations for Emotion Recognition)

Introduced by Saravia et al. in CARER: Contextualized Affect Representations for Emotion Recognition

CARER is an emotion dataset collected through noisy labels, annotated via distant supervision as in (Go et al., 2009).

The subset of data provided here corresponds to the six emotions variant described in the paper. The six emotions are anger, fear, joy, love, sadness, and surprise.

Source: CARER: Contextualized Affect Representations for Emotion Recognition

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Benchmarks

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Task	Dataset Variant	Best Model
Text Classification	emotion	bert-base-uncased-finetuned-emotion
Text Classification	tweet_eval	TweetEval_roBERTa_5E
Text Classification	go_emotions	sentiment-model-sample-27go-emotion
text-classification	emotion	distilbert-base-cased-emotion
Multi Label Text Classification	go_emotions	xtremedistil-emotion
Multi Class Text Classification	emotion	sagemaker-roberta-base-emotion
Multi-class Classification	emotion	bhadresh-savani/distilbert-base-uncased-emotion