risqaliyevds/uzbek-sentiment-analysis

---
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/)

原始信息汇总

数据集概述

基本信息

• 名称: Uzum Market Sentiment Analysis Dataset
• 用途: 用于乌兹别克语的情感分析
• 语言: 乌兹别克语
• 标签: 情感分析
• 大小: 100K<n<1M

数据集内容

• 特征:
  • normalized_review_text: 字符串类型
  • rating: 字符串类型
• 数据结构: JSON格式，包含normalized_review_text和rating两个特征
• 行数: 352151行

数据集划分

• 训练集:
  • 示例数: 352151
  • 字节数: 19637178

数据集下载信息

• 下载大小: 10181120字节
• 数据集大小: 19637178字节

使用许可

• 许可: MIT