---
license: cc-by-4.0
language:
- hi

pretty_name: Hindi Question Answering Dataset

size_categories:
- 1M<n<10M

tags:
- hindi
- question-answering
- educational
- llm
- rag
- instruction-tuning
- reasoning
- competitive-exams
- general-knowledge
- mathematics
- science
- history
- geography
- economics
- polity
- commerce
- engineering
- medical
- json
- pdf
---

# Hindi Question Answering Dataset

## Overview

The **Hindi Question Answering Dataset** is a comprehensive educational corpus containing **over 1.8+ million Hindi question-answer pairs** spanning STEM, Non-STEM, competitive examinations, school education, university curricula, and professional learning resources.

Designed for **Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), educational AI assistants, intelligent tutoring systems, multilingual NLP, and question-answering applications**, the dataset provides structured, explanation-rich educational content in Hindi.

Each record contains a **multiple-choice question, answer options, the correct answer, and a detailed explanation**, making it ideal for supervised fine-tuning, reasoning tasks, educational search, and multilingual AI development.

The dataset is available in both **JSON** and **PDF** formats.

---

# Dataset Highlights

| Property | Value |
|-----------|--------|
| Language | Hindi |
| Total Questions | **1,854,832+** |
| File Formats | PDF & JSON |
| Question Type | Multiple Choice |
| Detailed Explanations | ✅ |
| AI Ready | ✅ |
| Average Question Length | ~210 Words |

---

# Subject Coverage

The dataset includes a diverse collection of educational subjects.

### STEM

- Mathematics
- Physics
- Chemistry
- Biology
- Engineering
- Medical Sciences
- Information Technology
- Computer Science
- Environmental Science
- Agriculture
- Nursing
- General Science

### Non-STEM

- History
- Geography
- Economics
- Commerce
- Business Studies
- Political Science
- Law
- Sociology
- Teaching
- Communication
- General Knowledge
- General Hindi
- General English
- Management
- Library & Information Science
- Home Science
- Social Science

### Competitive Examination Topics

- Quantitative Aptitude
- Reasoning
- General Knowledge
- Current Affairs
- General Science
- Mathematics
- Hindi Language
- English Language
- Teaching Aptitude

---

# Sample Record

```json
{
  "question": "भारत का संविधान कब लागू हुआ था?",
  "options": [
    "15 अगस्त 1947",
    "26 जनवरी 1950",
    "26 नवंबर 1949",
    "2 अक्टूबर 1950"
  ],
  "answer": "26 जनवरी 1950",
  "explanation": "भारतीय संविधान 26 जनवरी 1950 को लागू हुआ, जिसे गणतंत्र दिवस के रूप में मनाया जाता है।"
}
```

---

# Dataset Features

- 1.8M+ Hindi question-answer pairs
- Detailed explanations for every question
- Multiple-choice format
- School and university curriculum
- Competitive examination content
- Government exam preparation material
- Structured JSON annotations
- Human-readable PDF documents
- AI-ready educational corpus
- High-quality reasoning examples

---

# Data Structure

```
Hindi_QA/
│
├── PDFs/
│   ├── Mathematics.pdf
│   ├── History.pdf
│   ├── Geography.pdf
│   ├── General_Knowledge.pdf
│   └── ...
│
├── JSONs/
│   ├── Mathematics.json
│   ├── History.json
│   ├── Geography.json
│   ├── General_Knowledge.json
│   └── ...
```

---

# AI Tasks Supported

- Educational Question Answering
- Multilingual Question Answering
- Open-Domain Question Answering
- Retrieval-Augmented Generation (RAG)
- Supervised Fine-Tuning (SFT)
- Instruction Tuning
- Reading Comprehension
- Knowledge Retrieval
- Educational Search
- Document Understanding
- Information Extraction

---

# Applications

This dataset is ideal for:

- Hindi Large Language Models (LLMs)
- Educational AI Tutors
- AI Chatbots
- Government Exam Preparation Platforms
- Digital Learning Systems
- Academic Search Engines
- Enterprise Knowledge Bases
- Intelligent Question Answering Systems
- Research in Hindi NLP
- Multilingual AI Development

---

# Industries

- Artificial Intelligence
- Education Technology (EdTech)
- Government Education
- Schools
- Universities
- Competitive Exam Platforms
- Research Institutions
- Digital Publishing
- Enterprise Learning
- Online Education

---

# Advantages

- One of the largest Hindi educational QA datasets
- Covers both STEM and Non-STEM domains
- Rich explanatory content for reasoning-based AI
- AI-ready structured JSON format
- Human-readable PDF references
- Suitable for multilingual and Hindi LLM training
- Compatible with RAG and search-based AI systems
- Covers academic, professional, and competitive examination content

---

# Dataset Statistics

| Metric | Value |
|--------|-------:|
| Language | Hindi |
| Total Questions | **1,854,832+** |
| Subjects | 40+ |
| Question Format | Multiple Choice |
| Explanations | Included |
| Formats | PDF & JSON |
| Average Question Length | ~210 Words |

---

# License

This dataset is distributed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** License.

Users are free to use, modify, distribute, and build upon the dataset with appropriate attribution.

---

# Citation

```bibtex
@dataset{hindi_qa_dataset,
  title={Hindi Question Answering Dataset},
  year={2026},
  license={CC BY 4.0}
}
```
**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
---

# Conclusion

The **Hindi Question Answering Dataset** provides a large-scale collection of **over 1.8+ million educational question-answer pairs** across STEM, Non-STEM, competitive examinations, and general education. Featuring structured multiple-choice questions, detailed explanations, and support for both PDF and JSON formats, it is a valuable resource for training Hindi Large Language Models, educational AI assistants, multilingual retrieval systems, and intelligent tutoring applications.