InfoBayAI/Hindi-Non-STEM-QA-MCQ-Dataset

Dataset Description:

This dataset is a large-scale collection of Hindi Non-STEM Question Answering (QA) data, containing 1,298,586 question-answer pairs, designed to support the development and training of advanced NLP systems and AI models for language understanding, reasoning, knowledge retrieval, and educational learning in Hindi.

The dataset consists of multiple-choice question answering (MCQA) samples across core Non-STEM domains including History, Geography, Political Science, Economics, Literature, Social Science, Civics, and General Knowledge, enabling models to learn, reason, and generate accurate answers to domain-specific queries. Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, improving model performance in multilingual QA and reasoning tasks.

Dataset Specification

Total: 1,298,586
Modality: Hindi text (MCQ-based question-answer pairs with explanations)
Type: Educational / Non-STEM
Data Source: Curated academic and educational content
Data Nature: Real-world and curated data

Key Use Cases

Question Answering (QA) in Hindi (MCQ-based)
Named Entity Recognition (NER) in educational content
Automated tutoring and educational assistants
Knowledge retrieval systems
Model evaluation and benchmarking

Value of This Dataset

Enables learning of Non-STEM concepts in Hindi
Improves reasoning capabilities of AI models
Supports multilingual and domain-specific QA systems
Helps build AI-powered educational platforms
Enhances accuracy and reliability of LLMs in Non-STEM domains

Basic JSON Schema

{
  "id": "string",
  "language": "string",
  "source": "string",
  "question_type": "string",
  "answer_type": "string",
  "question": "string",
  "options": [
    "string"
  ],
  "correct_option_index": 0,
  "correct_answer": "string",
  "explanation": "string",
  "section": "string"
}

Full Dataset Overview

6.5M+ Questions / 1.8B+ Tokens

This scale provides extensive domain coverage, rich contextual learning, and significantly improves language understanding, reasoning, and model performance.

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) 8303174762
-Email: datareq@infobay.ai