Bilingual Dialogue Dataset with Personality and Emotion Annotations for Personality Recognition in Education
Abstract Dialogue datasets are essential for advancing natural language processing (NLP) tasks. However, many existing datasets lack integrated annotations for personality and emotion, limiting models’ ability to effectively capture these aspects and generate personalized, human-like dialogues, whic...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04836-w |
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