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---
dataset_info:
features:
- name: title
dtype: string
- name: name
dtype: string
- name: product_url
dtype: string
- name: price
dtype: float32
- name: original_price
dtype: float32
- name: unit
dtype: string
- name: overall_rating
dtype: float32
- name: rating_count
dtype: int32
- name: image
dtype: image
splits:
- name: train
num_bytes: 1762857315.375
num_examples: 113677
download_size: 1118819788
dataset_size: 1762857315.375
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Product Thai Dataset
## Dataset Description
The Product Thai Dataset is a comprehensive collection of Thai product information, including images and ratings, designed for e-commerce and product analysis tasks specific to the Thai market. This dataset contains 113,677 examples, providing a rich source of information for researchers and developers working on product recommendation systems, image-based product search, and e-commerce analytics in the context of Thai products.
### Dataset Summary
- **Number of examples:** 113,677
- **Dataset size:** 1.76 GB
- **Download size:** 1.12 GB
## Features
The dataset includes the following features for each product:
1. **title** (string): The title of the product in Thai.
2. **name** (string): The name of the product (may differ from title) in Thai.
3. **product_url** (string): URL link to the product page.
4. **price** (float32): Current price of the product in Thai Baht (฿).
5. **original_price** (float32): Original price of the product in Thai Baht (฿) (before any discounts).
6. **unit** (string): Unit of measurement or sale for the product in Thai.
7. **overall_rating** (float32): Average rating of the product.
8. **rating_count** (int32): Number of ratings received by the product.
9. **image** (image): Product image.
## Usage
This dataset can be used for various tasks, including but not limited to:
- Thai product image classification
- Price prediction for Thai market
- Rating prediction for Thai products
- Product recommendation systems for Thai e-commerce
- Visual search and similarity for Thai products
- E-commerce trend analysis in Thailand
To load the dataset using the Hugging Face `datasets` library:
```python
from datasets import load_dataset
dataset = load_dataset("Porameht/product-thai-114k")
```
## Data Splits
The dataset is provided as a single train split.
## Dataset Creation
### Source
The data was collected from various Thai e-commerce platforms and product listings. The specific sources and collection methodology are not provided to maintain privacy and data integrity.
### Preprocessing
The dataset has undergone cleaning and preprocessing to ensure consistency and usability:
- Missing values have been handled appropriately for each feature type.
- Image data has been standardized and preprocessed for machine learning applications.
- Numerical values (price, rating, etc.) have been normalized and checked for consistency.
- Thai text has been preserved and standardized where necessary.
## Considerations for Use
When using this dataset, please consider the following:
- The dataset may contain biases inherent in Thai e-commerce data, such as popularity bias or category imbalance.
- Product information and pricing data may become outdated over time.
- Images and product details should be used in compliance with copyright and fair use guidelines.
- The dataset is specific to the Thai market and may not be generalizable to other regions without adaptation.
## Citation
If you use this dataset in your research or applications, please cite it as follows:
```
@dataset{product_thai_dataset,
author = {Porameht},
title = {Product Thai Dataset},
year = {2023},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/Porameht/product-thai-114k}
}
```
## Feedback and Contributions
For any questions, feedback, or contributions to improve this dataset, please open an issue on the dataset's GitHub repository or contact the dataset maintainer through Hugging Face. |