InfoBayAI/Urdu_Non-Stem_Textbook_Dataset

Urdu Non-STEM Textbook Dataset

Overview

The Urdu Non-STEM Textbook Dataset is a collection of Urdu-language non-STEM textbooks designed to support educational research, natural language processing, and AI-based learning applications.

The dataset contains 1,047 textbooks comprising approximately 57.92 million words. It is part of a broader multilingual textbook collection covering STEM and non-STEM educational content across multiple languages.

The collection can support the development and research of language models, educational AI systems, information retrieval applications, and other technologies that work with Urdu-language academic and educational content.

Dataset Highlights

• Language: Urdu
• Content Category: Non-STEM textbooks
• Number of Textbooks: 1,047
• Total Word Count: Approximately 57.92 million words
• Dataset Type: Educational textbook collection
• Collection: Part of a broader multilingual STEM and Non-STEM textbook collection

Dataset Features

• Urdu-language educational textbook content.
• Non-STEM academic subject coverage.
• A collection of 1,047 textbooks.
• Approximately 57.92 million words of content.
• Suitable for research involving Urdu-language text processing.
• Part of a broader multilingual educational data collection.

Subject Coverage

The dataset focuses on non-STEM educational content in Urdu.

Language Coverage

This dataset focuses exclusively on Urdu.

It belongs to a broader multilingual textbook collection that includes:

• English
• Indonesian
• Hindi
• Arabic
• Telugu
• Marathi
• Bengali
• Kannada
• Nepali
• Tamil
• Urdu

The language list describes the broader collection, not additional languages within this Urdu-specific dataset.

Dataset Statistics

The following figures are based on the supplied dataset statistics screenshot.

Metric	Urdu Non-STEM Dataset
Number of Textbooks	1,047
Total Word Count	57.92 million
Content Category	Non-STEM
Language	Urdu

Broader Collection Context

The Urdu Non-STEM dataset is part of a larger multilingual textbook collection.

The screenshot reports the following Urdu-wide figures:

Category	Textbooks	Word Count
STEM Books	58	2.47 million
Non-STEM Books	1,047	57.92 million
Total Urdu Collection	1,105	60.39 million

The broader collection, across all listed languages and both STEM and Non-STEM categories, reports:

• Total Textbooks: 46,085
• Total Word Count: 3,053.78 million

AI Tasks Supported

The dataset may be useful for research and development involving:

• Urdu Natural Language Processing (NLP)
• Urdu Language Model Development
• Educational AI Applications
• Multilingual Language Models
• Information Retrieval
• Retrieval-Augmented Generation (RAG)
• Text Understanding and Analysis
• Educational Content Processing
• Language Modeling
• Academic Text Analysis

Potential Applications

• Developing Urdu-language educational AI systems.
• Training and researching Urdu-capable language models.
• Building educational information retrieval systems.
• Supporting RAG-based applications using Urdu educational content.
• Developing AI-powered learning assistants.
• Researching Urdu text processing and language technologies.
• Building digital educational knowledge resources.

Industries and Research Areas

Potential areas of application include:

• Artificial Intelligence and Machine Learning
• Education Technology (EdTech)
• Natural Language Processing
• Multilingual AI
• Generative AI
• Digital Education
• Academic Research
• Language Technology
• Educational Software Development

Intended Audience

This dataset may be useful for:

• AI and machine learning researchers
• Urdu NLP researchers
• Language model developers
• EdTech companies
• Educational AI developers
• Academic institutions
• Digital learning platform developers
• Multilingual AI research teams
• Data scientists

Summary

The Urdu Non-STEM Textbook Dataset provides a substantial collection of Urdu educational content, comprising 1,047 textbooks and approximately 57.92 million words. As part of a broader multilingual textbook collection, it can support research and development in Urdu NLP, language models, educational AI, information retrieval, and multilingual learning applications.

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.

-Ph: +91 9236398619
-Email: datareq@infobay.ai