---
language: [uk]
license: cc-by-4.0
tags:
- sentiment-analysis
- emotion-detection
- intent-classification
- ukrainian
- benchmark
task_categories:
- text-classification
pretty_name: UAReviews
---

# UAReviews: Ukrainian Emotion and Intent Benchmark (v1.0)

**UAReviews** is a curated benchmark of **11 580** Ukrainian user reviews and feedback comments labeled for both **emotion** and **intent category**.  
It is designed for evaluating and fine-tuning sentiment, emotion, and intent-understanding models for the Ukrainian language.

---

## Highlights
- 7-class **emotion** and 5-class **intent category** annotation schema  
- Public sector reviews were kindly provided by the **Ministry of Digital Transformation of Ukraine**  
- A little re-balanced with a small, re-labeled subset of **[COSMUS](https://huggingface.co/datasets/YShynkarov/COSMUS)** to improve underrepresented categories    

---

## Data Composition

| Source  | Description |
|---------|-------------|
| **Ministry of Digital Transformation dataset** | Original user reviews and service feedback from the *Diia* ecosystem and related municipal channels |
| **COSMUS subset** | Selected and re-labeled samples used to balance low-frequency categories (*Question / Request for Help*, *Suggestion / Idea*, *Neutral Comment*) |

All COSMUS records were re-labeled with the unified UAReviews schema (and marked with COSMUS source).  
Each record retains its origin under the `source` field.

---

## Dataset Structure

| Field | Description |
|--------|-------------|
| `id` | Unique identifier |
| `content` | Original Ukrainian text |
| `rating` | 1–5 star rating, if available |
| `source` | `"original"` or `"cosmus"` |
| `final_emotion` | One of: **Happiness**, **Sadness**, **Anger**, **Fear**, **Disgust**, **Surprise**, **Neutral** |
| `final_category` | One of: **Gratitude / Positive Feedback**, **Complaint / Dissatisfaction**, **Question / Request for Help**, **Suggestion / Idea**, **Neutral Comment** |
| `split` | `"train"`, `"test"`, `"challenge"` |
| `length` | Character count of `content` |

---

## Statistics

| Metric | Value |
|---------|--------|
| **Samples** | 11 580 |
| **Average text length** | 148 characters |

### Category distribution
| Category | Count | Share |
|-----------|--------|-------|
| Gratitude / Positive Feedback | 7 440 | 64 % |
| Complaint / Dissatisfaction | 2 730 | 24 % |
| Question / Request for Help | 615 | 5 % |
| Neutral Comment | 418 | 4 % |
| Suggestion / Idea | 377 | 3 % |

### Emotion distribution
| Emotion | Count | Share |
|----------|--------|-------|
| Happiness | 7 557 (65%) |
| Anger | 2 264 (20%) |
| Neutral | 1 117 (10%) |
| Sadness | 424 (4%) |
| Disgust | 106 (0.9%) |
| Surprise | 57 (0.5%) |
| Fear | 55 (0.5%) |

---

## License

**CC BY 4.0** — free to use, modify, and redistribute with attribution.  
Portions derived from *COSMUS* are released under the same license.

---

## Acknowledgments

Developed by **KSE NLP Lab** at the *Kyiv School of Economics*,  
in collaboration with the **Ministry of Digital Transformation of Ukraine**.  

We thank **Y. Shynkarov et al.** for the open *COSMUS* dataset that supported category balancing.