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language: [uk] |
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license: cc-by-4.0 |
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tags: |
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- sentiment-analysis |
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- emotion-detection |
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- intent-classification |
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- ukrainian |
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- benchmark |
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task_categories: |
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- text-classification |
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pretty_name: UAReviews |
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--- |
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# UAReviews: Ukrainian Emotion and Intent Benchmark (v1.0) |
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**UAReviews** is a curated benchmark of **11 580** Ukrainian user reviews and feedback comments labeled for both **emotion** and **intent category**. |
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It is designed for evaluating and fine-tuning sentiment, emotion, and intent-understanding models for the Ukrainian language. |
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## Highlights |
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- 7-class **emotion** and 5-class **intent category** annotation schema |
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- Public sector reviews were kindly provided by the **Ministry of Digital Transformation of Ukraine** |
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- A little re-balanced with a small, re-labeled subset of **[COSMUS](https://huggingface.co/datasets/YShynkarov/COSMUS)** to improve underrepresented categories |
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--- |
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## Data Composition |
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| Source | Description | |
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|---------|-------------| |
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| **Ministry of Digital Transformation dataset** | Original user reviews and service feedback from the *Diia* ecosystem and related municipal channels | |
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| **COSMUS subset** | Selected and re-labeled samples used to balance low-frequency categories (*Question / Request for Help*, *Suggestion / Idea*, *Neutral Comment*) | |
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All COSMUS records were re-labeled with the unified UAReviews schema (and marked with COSMUS source). |
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Each record retains its origin under the `source` field. |
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--- |
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## Dataset Structure |
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| Field | Description | |
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|--------|-------------| |
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| `id` | Unique identifier | |
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| `content` | Original Ukrainian text | |
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| `rating` | 1–5 star rating, if available | |
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| `source` | `"original"` or `"cosmus"` | |
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| `final_emotion` | One of: **Happiness**, **Sadness**, **Anger**, **Fear**, **Disgust**, **Surprise**, **Neutral** | |
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| `final_category` | One of: **Gratitude / Positive Feedback**, **Complaint / Dissatisfaction**, **Question / Request for Help**, **Suggestion / Idea**, **Neutral Comment** | |
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| `split` | `"train"`, `"test"`, `"challenge"` | |
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| `length` | Character count of `content` | |
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--- |
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## Statistics |
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| Metric | Value | |
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|---------|--------| |
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| **Samples** | 11 580 | |
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| **Average text length** | 148 characters | |
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### Category distribution |
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| Category | Count | Share | |
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|-----------|--------|-------| |
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| Gratitude / Positive Feedback | 7 440 | 64 % | |
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| Complaint / Dissatisfaction | 2 730 | 24 % | |
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| Question / Request for Help | 615 | 5 % | |
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| Neutral Comment | 418 | 4 % | |
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| Suggestion / Idea | 377 | 3 % | |
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### Emotion distribution |
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| Emotion | Count | Share | |
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|----------|--------|-------| |
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| Happiness | 7 557 (65%) | |
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| Anger | 2 264 (20%) | |
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| Neutral | 1 117 (10%) | |
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| Sadness | 424 (4%) | |
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| Disgust | 106 (0.9%) | |
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| Surprise | 57 (0.5%) | |
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| Fear | 55 (0.5%) | |
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--- |
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## License |
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**CC BY 4.0** — free to use, modify, and redistribute with attribution. |
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Portions derived from *COSMUS* are released under the same license. |
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--- |
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## Acknowledgments |
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Developed by **KSE NLP Lab** at the *Kyiv School of Economics*, |
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in collaboration with the **Ministry of Digital Transformation of Ukraine**. |
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We thank **Y. Shynkarov et al.** for the open *COSMUS* dataset that supported category balancing. |
