tanaos/synthetic-emotion-detection-dataset-v1
Tanaos Emotion Detection Training Dataset This dataset was created synthetically by Tanaos with the Artifex Python library. The dataset is designed to train and evaluate emotion detection systems — models that classify the main emotion expressed in text as one of eight possible categories: joy, anger, fear, sadness, surprise, disgust, excitement, or neutral. It can be used to build emotion detection models for various applications, such as customer feedback analysis… See the full description on the dataset page: https://huggingface.co/datasets/tanaos/synthetic-emotion-detection-dataset-v1.
| Author / organization | tanaos |
|---|---|
| License (as declared) | mit |
| Downloads | 207 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 17 November 2025 |
| Last updated at source | 21 December 2025 |
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Connected in the knowledge graph
- onnx-community/tanaos-emotion-detection-v1-ONNXModel · used to train
- tanaos/tanaos-emotion-detection-v1Model · used to train
Recent changes
- 17 Oct 2026 Description: Tanaos Emotion Detection Training Dataset This dataset was created synthetically by Tanaos with the Artifex Python library. The dataset is designed to train and evaluate emotion detection systems — models that classify the main emotion expr → Tanaos Emotion Detection Training Dataset This dataset was created synthetically by Tanaos with the Artifex Python library. The dataset is designed to train and evaluate emotion detection systems — models that classify the main emotion expr
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