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