| --- |
| 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. |
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| --- |
|
|
| ## 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. |
|
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| --- |
|
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| ## 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` | |
|
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| --- |
|
|
| ## 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%) | |
|
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| --- |
|
|
| ## License |
|
|
| **CC BY 4.0** — free to use, modify, and redistribute with attribution. |
| Portions derived from *COSMUS* are released under the same license. |
|
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| --- |
|
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| ## 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. |
