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  ---
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  # Uzum Market Sentiment Analysis Dataset
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- ## Ma'lumotlar to'plami haqida
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- Ushbu ma'lumotlar to'plami Uzum marketidagi izohlar asosida sentiment tahlilini amalga oshirish uchun yaratilgan. Ma'lumotlar to'plami izohlardagi fikrlarni baholash va ularni turli reytinglarga ajratish imkonini beradi.
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- ## Ma'lumotlar tuzilishi
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- Ma'lumotlar quyidagi formatda JSON tuzilishida keltirilgan:
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  ```json
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  {
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  }
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  ```
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- Reytinglar quyidagi tartibda belgilanadi:
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  ```python
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  rating_to_label = {
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  5: 'excellent'
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  }
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  ```
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- ## Tayyorlanish yo'riqnomasi
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- Ushbu ma'lumotlar to'plamidan tayyorlashda quyidagi yo'riqnomalarga rioya qilingan:
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- 1. Izohlarning normalizatsiya qilingan matnlari va ularning reytinglari ajratib olingan.
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- 2. Har bir reyting turli xil sifat ko'rsatkichlari (yaxshi, o'rtacha, yomon va boshqalar) bilan belgilangan.
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- ## Misollar
 
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- Quyida ma'lumotlar to'plami uchun ba'zi misollar keltirilgan:
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- - **normalized_review_text:** ["Mahsulot juda yaxshi, tavsiya qilaman!", "Xizmat sifati yomon, qoniqmadi."]
 
 
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  - **rating:** [5, 1]
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- ## Yuklab olish
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- Ushbu ma'lumotlar to'plamini quyidagi kod yordamida yuklab olishingiz mumkin:
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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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- ## Litsenziya
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- Ushbu ma'lumotlar to'plami ochiq manba sifatida taqdim etiladi va barcha foydalanuvchilar uchun bepul foydalanish imkoniyatiga ega.
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- ## Bog'lanish
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- Agar savollaringiz bo'lsa yoki qo'shimcha ma'lumot kerak bo'lsa, iltimos biz bilan bog'laning.
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  LinkedIn: [Riskaliev Murad](https://www.linkedin.com/in/risqaliyevds/)
 
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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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  }
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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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  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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+
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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/)