Datasets:

sayurio
/

startech.com.bd-web-scrape

license: mit
task_categories:
  - text-generation
  - table-question-answering
language:
  - en
  - bn
tags:
  - e-commerce
  - hardware
  - electronics
  - bangladesh
  - web-scraped
pretty_name: Star Tech Product Archive Web Scrape
size_categories:
  - 10K<n<100K

Star Tech Product Archive

Overview

This repository contains a comprehensive dataset scraped from startech.com.bd, a major retailer of computers, hardware components, and consumer electronics in Bangladesh. The dataset serves as a structured archive of product catalogs, technical specifications, pricing, and descriptions.

Purpose and Usage

This dataset is published publicly and strictly for educational, research, and analytical purposes. It is an excellent resource for data scientists, developers, and hardware enthusiasts looking to:

Perform market analysis and price trend tracking for consumer electronics.
Train or evaluate models for e-commerce parsing and tabular data extraction.
Build Retrieval-Augmented Generation (RAG) systems for tech and hardware recommendations.
Analyze product specifications and component availability within the regional market.

Dataset Details

Source: startech.com.bd
Collection Method: Web scraping
Content Type: E-commerce product data (including titles, prices, descriptions, specifications, and categorical hierarchy).
Repository: sayurio/startech.com.bd-web-scrape

Copyright and Fair Use Disclaimer

This archive is created under the principles of Fair Use (under Section 107 of the Copyright Act) for purposes such as criticism, comment, research, and scholarship.

No Ownership Claimed: The creator of this repository does not claim any ownership, authorship, or copyright over the original product descriptions, images, or branding. All rights, title, and interest in the original content, logos, and trademarks remain entirely with their respective manufacturers, brands, and Star Tech Engineering Ltd.
Non-Commercial: This dataset is provided completely free of charge and is strictly not intended for commercial gain, competitive market manipulation, or profit.
Transformative Use: The data has been aggregated, extracted from its original web formatting, and compiled specifically for computational analysis and educational study. This represents a transformative use of the original publicly available material.

Takedown Requests: If you are a copyright holder or representative of the source website and wish for specific data to be removed from this archive, please open an issue or contact the repository owner directly. Please submit a removal request specifying the exact URLs, SKUs, or product identifiers you wish to have taken down so they can be accurately located within the dataset and removed.

How to Use

You can load this dataset directly into your Python environment using the Hugging Face datasets library.

(Note: If your data is in a specific format like .csv or .jsonl, ensure you specify the data_files argument if necessary).

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("sayurio/startech.com.bd-web-scrape")

# View the structure of the first product entry
print(dataset['train'][0])