Datasets:
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 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.