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Helsinki-NLP/xed_en_fi

A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchik’s core emotions are used to annotate the dataset with the addition of neutral to create a multilabel multiclass dataset. The dataset is carefully evaluated using language-specific BERT models and SVMs to show that XED performs on par with other similar datasets and is therefore a useful tool for sentiment analysis and emotion detection.

Author / organizationHelsinki-NLP
License (as declared)cc-by-4.0
Downloads227 (as reported by Hugging Face)
Likes7
Created2 March 2022
Last updated at source18 January 2024
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