Standard DatasetsChinese Natural Language Emotion Classification Dataset
Sample
Specification
Dataset ID
MD-NLP-002
Dataset Name
Chinese Natural Language Emotion Classification Dataset
Data Type
TextVolume
About 1500k
Data Collection
Online/offline collection.
Annotation
Emotional Annotation
Annotation Notes
A large amount of dialogue data is used to classify the emotions in the conversation, which are divided into 11 sub-categories, including: smile, doubt, sadness, fear, anger, surprise, sorry, shyness, comfort, calm, and helplessness.
Application Scenarios
Internet;Mobile
Quality Assurance
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