| --- |
| license: cc-by-4.0 |
| language: |
| - en |
|
|
| pretty_name: English Non-STEM Question & Answer Dataset |
|
|
| size_categories: |
| - 1M<n<10M |
|
|
| tags: |
| - english |
| - non-stem |
| - question-answering |
| - education |
| - llm |
| - rag |
| - instruction-tuning |
| - reasoning |
| - humanities |
| - social-science |
| - commerce |
| - economics |
| - history |
| - geography |
| - law |
| - business-studies |
| - political-science |
| - educational-ai |
| - json |
| - pdf |
| --- |
| |
| # English Non-STEM Question & Answer Dataset |
|
|
| ## Overview |
|
|
| The **English Non-STEM Question & Answer Dataset** is a comprehensive educational dataset containing **over 2.5 million English question-answer pairs** across humanities, commerce, economics, business studies, law, social sciences, and general education. |
|
|
| Designed for **Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI tutoring systems, educational chatbots, and question-answering applications**, the dataset provides high-quality educational content with detailed explanations for every question. |
|
|
| Each sample includes **multiple-choice options, the correct answer, and an explanation**, making it suitable for supervised fine-tuning, instruction tuning, reasoning tasks, and educational AI research. |
|
|
| The dataset is distributed in both **JSON** and **PDF** formats. |
|
|
| --- |
|
|
| # Dataset Highlights |
|
|
| | Property | Value | |
| |-----------|--------| |
| | Language | English | |
| | Total Questions | **2.5M+** | |
| | Domains | Non-STEM | |
| | File Formats | JSON & PDF | |
| | Question Type | Multiple Choice | |
| | Detailed Explanations | ✅ | |
| | Average Question Length | ~210 Words | |
| | AI Ready | ✅ | |
|
|
| --- |
|
|
| # Subject Coverage |
|
|
| The dataset covers a diverse collection of Non-STEM disciplines. |
|
|
| ## Humanities |
|
|
| - History |
| - Geography |
| - Political Science |
| - Civics |
| - Sociology |
| - Philosophy |
| - Psychology |
| - Social Science |
|
|
| ## Commerce & Business |
|
|
| - Commerce |
| - Business Studies |
| - Economics |
| - Management |
| - Entrepreneurship |
| - Marketing |
| - Financial Literacy |
| - Business Communication |
|
|
| ## Languages |
|
|
| - English Language |
| - General English |
| - Grammar |
| - Vocabulary |
| - Reading Comprehension |
| - Communication Skills |
|
|
| ## Law & Governance |
|
|
| - Law |
| - Constitution |
| - Public Administration |
| - Governance |
| - Public Policy |
|
|
| ## General Studies |
|
|
| - General Knowledge |
| - Current Affairs |
| - Teaching |
| - Library & Information Science |
| - Home Science |
| - Environmental Studies |
| - Miscellaneous Educational Topics |
|
|
| --- |
|
|
| # Dataset Features |
|
|
| - Over **2.5 Million English Questions** |
| - High-quality educational content |
| - Multiple-choice question format |
| - Detailed answer explanations |
| - Human-reviewed educational material |
| - Competitive examination content |
| - School and university curriculum |
| - Structured JSON annotations |
| - Human-readable PDF documents |
| - AI-ready dataset |
| - Reasoning-focused questions |
|
|
| --- |
|
|
| # Sample Record |
|
|
| ```json |
| { |
| "question": "Which article of the Indian Constitution guarantees equality before the law?", |
| "options": [ |
| "Article 14", |
| "Article 19", |
| "Article 21", |
| "Article 32" |
| ], |
| "answer": "Article 14", |
| "explanation": "Article 14 guarantees equality before the law and equal protection of the laws within the territory of India." |
| } |
| ``` |
|
|
| --- |
|
|
| # Dataset Structure |
|
|
| ``` |
| English_NonSTEM_QA/ |
| │ |
| ├── PDFs/ |
| │ ├── History.pdf |
| │ ├── Economics.pdf |
| │ ├── Geography.pdf |
| │ ├── Business_Studies.pdf |
| │ └── ... |
| │ |
| ├── JSONs/ |
| │ ├── History.json |
| │ ├── Economics.json |
| │ ├── Geography.json |
| │ ├── Business_Studies.json |
| │ └── ... |
| ``` |
|
|
| --- |
|
|
| # AI Tasks Supported |
|
|
| - Educational Question Answering |
| - Open-Domain Question Answering |
| - Reading Comprehension |
| - Retrieval-Augmented Generation (RAG) |
| - Supervised Fine-Tuning (SFT) |
| - Instruction Tuning |
| - Knowledge Retrieval |
| - Document Understanding |
| - Educational Search |
| - Reasoning |
| - Information Extraction |
|
|
| --- |
|
|
| # Applications |
|
|
| This dataset is ideal for: |
|
|
| - Large Language Model (LLM) Training |
| - Educational AI Assistants |
| - AI Tutors |
| - Question Answering Systems |
| - Digital Learning Platforms |
| - Examination Preparation Platforms |
| - Academic Search Engines |
| - Knowledge Base Construction |
| - Enterprise AI |
| - Educational Research |
|
|
| --- |
|
|
| # Industries |
|
|
| - Artificial Intelligence |
| - Education Technology (EdTech) |
| - Schools |
| - Universities |
| - Research Organizations |
| - Digital Publishing |
| - Government Education |
| - Online Learning Platforms |
| - Enterprise Knowledge Management |
| - Professional Training |
|
|
| --- |
|
|
| # Advantages |
|
|
| - Large-scale English educational corpus |
| - Comprehensive Non-STEM subject coverage |
| - Rich explanatory content |
| - AI-ready structured format |
| - Suitable for reasoning-based models |
| - Compatible with Hugging Face, ModelScope, and RAG pipelines |
| - Human-readable PDF references |
| - Well-structured JSON annotations |
| - Covers academic and competitive examination content |
|
|
| --- |
|
|
| # Dataset Statistics |
|
|
| | Metric | Value | |
| |---------|------:| |
| | Language | English | |
| | Questions | **2.5M+** | |
| | Subjects | 20+ | |
| | Formats | PDF & JSON | |
| | Question Type | Multiple Choice | |
| | Answer Explanations | Included | |
| | Average Question Length | ~210 Words | |
|
|
| --- |
|
|
| # License |
|
|
| This dataset is licensed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** License. |
|
|
| You are free to use, modify, distribute, and build upon the dataset with appropriate attribution. |
|
|
| --- |
|
|
| # Citation |
|
|
| ```bibtex |
| @dataset{english_nonstem_qa, |
| title={English Non-STEM Question & Answer Dataset}, |
| year={2026}, |
| license={CC BY 4.0} |
| } |
| ``` |
|
|
| --- |
|
|
| # Conclusion |
|
|
| The **English Non-STEM Question & Answer Dataset** is a large-scale educational resource containing **over 2.5 million English question-answer pairs** across history, geography, economics, commerce, business studies, law, political science, general knowledge, language studies, and other humanities disciplines. With detailed explanations, structured JSON annotations, and PDF source documents, it provides an excellent foundation for training Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, educational assistants, and intelligent question-answering applications. |
