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KSE-RESEARCH-Group/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… See the full description on the dataset page: https://huggingface.co/datasets/KSE-RESEARCH-Group/UAReviews.

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Dataset Card

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

SourceDescription
Ministry of Digital Transformation datasetOriginal user reviews and service feedback from the Diia ecosystem and related municipal channels
COSMUS subsetSelected 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

FieldDescription
idUnique identifier
contentOriginal Ukrainian text
rating1–5 star rating, if available
source"original" or "cosmus"
final_emotionOne of: Happiness, Sadness, Anger, Fear, Disgust, Surprise, Neutral
final_categoryOne of: Gratitude / Positive Feedback, Complaint / Dissatisfaction, Question / Request for Help, Suggestion / Idea, Neutral Comment
split"train", "test", "challenge"
lengthCharacter count of content

Statistics

MetricValue
Samples11 580
Average text length148 characters

Category distribution

CategoryCountShare
Gratitude / Positive Feedback7 44064 %
Complaint / Dissatisfaction2 73024 %
Question / Request for Help6155 %
Neutral Comment4184 %
Suggestion / Idea3773 %

Emotion distribution

EmotionCountShare
Happiness7 557 (65%)
Anger2 264 (20%)
Neutral1 117 (10%)
Sadness424 (4%)
Disgust106 (0.9%)
Surprise57 (0.5%)
Fear55 (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.