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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: normalized_review_text |
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dtype: string |
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- name: rating |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 19637178 |
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num_examples: 352151 |
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download_size: 10181120 |
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dataset_size: 19637178 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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task_categories: |
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- text-classification |
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- token-classification |
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language: |
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- uz |
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tags: |
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- sentiment_analysis |
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pretty_name: Sentiment analysis for Uzbek language. |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Uzum Market Sentiment Analysis Dataset |
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## About the Dataset |
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This dataset is created for performing sentiment analysis on comments from Uzum Market. The dataset allows for evaluating the sentiments in the comments and categorizing them into various ratings. |
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## Data Structure |
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The data is provided in JSON format with the following structure: |
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```json |
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{ |
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"features": ["normalized_review_text", "rating"], |
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"num_rows": 352151 |
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} |
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``` |
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Ratings are defined as follows: |
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```python |
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rating_to_label = { |
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1: 'very poor', |
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2: 'poor', |
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3: 'fair', |
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4: 'good', |
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5: 'excellent' |
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} |
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``` |
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## Preparation Guidelines |
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The following guidelines were followed in preparing this dataset: |
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1. Normalized review texts and their ratings were extracted. |
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2. Each rating is associated with different quality indicators (good, average, bad, etc.). |
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## Examples |
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Here are some examples from the dataset: |
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- **normalized_review_text:** ["The product is very good, I recommend it!", "The service quality is bad, not satisfied."] |
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- **rating:** [5, 1] |
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## Download |
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You can download this dataset using the following code: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("risqaliyevds/sentiment-analysis-uzbek") |
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``` |
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## License |
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This dataset is provided as open source and is available for free use by all users. |
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## Contact |
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If you have any questions or need more information, please contact us. |
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LinkedIn: [Riskaliev Murad](https://www.linkedin.com/in/risqaliyevds/) |