| --- |
| license: other |
| task_categories: |
| - audio-classification |
| - automatic-speech-recognition |
| language: |
| - en |
| - hi |
| - bn |
| - ta |
| - te |
| - ml |
| - mr |
| - or |
| - as |
| - pa |
| tags: |
| - ncert, |
| - education, |
| - india, |
| - upsc, |
| - humanities, |
| - recorded-lectures, |
| - government-exams, |
| - science, |
| - long-form-audio |
| pretty_name: NCERT Lectures India |
| size_categories: |
| - 1K<n<10K |
| # NCERT Lectures India |
| |
| ## Dataset Description |
| |
| A large-scale collection of recorded lectures covering NCERT curriculum |
| across Science and Humanities streams, specifically designed for government |
| exam preparation including UPSC, SSC, and State PSC examinations. Produced |
| by Prepp, India's largest government exam preparation platform, operated by |
| Collegedunia Web Private Limited. |
| |
| ## Dataset Summary |
| |
| - **Total duration:** 5,100 hours of recorded lectures |
| - **Content type:** Structured curriculum lectures covering NCERT Science |
| and Humanities |
| - **Exam relevance:** UPSC Civil Services, SSC, State PSC, Railways, |
| Banking, and all major government competitive examinations |
| - **Curriculum:** Full NCERT coverage — Classes 6 through 12, Science |
| and Humanities streams |
| - **Chapters available:** History Ch-1, Ch-2, Ch-3 (samples) |
| - **Languages:** Hindi and English primary; regional language variants available |
| - **Format:** Audio/Video with structured chapter-by-chapter delivery |
| |
| ## Sample Data |
| |
| Three sample lectures are available in this repository: |
| - History Chapter 1 — The Early Societies |
| - History Chapter 2 — Early Economies and Empires |
| - History Chapter 3 — Political and Economic History |
| |
| ## Key Features |
| |
| - **NCERT-aligned:** Follows official NCERT curriculum chapter structure |
| exactly — high-value signal for Indian education AI models |
| - **Government exam optimised:** Content structured specifically for |
| competitive exam preparation — includes emphasis patterns, important |
| facts, and exam-relevant framing that general educational content lacks |
| - **Long-form audio:** 5,100 hours of continuous structured lecture audio — |
| one of the largest Indic long-form educational audio datasets available |
| - **Subject breadth:** Covers History, Geography, Polity, Economics, |
| Science, and Environment across multiple NCERT grades |
| - **High information density:** Unlike casual educational content, |
| government exam lectures are dense with factual content — |
| valuable for knowledge-intensive LLM training |
| |
| ## Intended Uses |
| |
| - Training automatic speech recognition (ASR) models for Hindi and |
| Indic languages in educational domain |
| - Long-form audio understanding model development |
| - Knowledge-intensive question answering model training |
| - Indian history, geography, and polity domain model fine-tuning |
| - Government exam preparation AI development |
| - Curriculum-structured audio dataset for educational AI research |
| |
| ## Why This Dataset Is Unique |
| |
| Government exam preparation content is structurally different from |
| general educational content. It is optimised for information retention, |
| fact density, and conceptual clarity under exam conditions. No comparable |
| large-scale structured dataset exists for Indian government exam preparation |
| content in audio format. |
| |
| ## Data Collection and Rights |
| |
| All content is proprietary, produced by Prepp's in-house faculty team |
| of government exam subject matter experts. Content is curriculum-mapped |
| to NCERT chapter structure and ethically sourced under work-for-hire |
| agreements. Full dataset licensing is available for commercial AI |
| training purposes. |
| |
| ## Licensing and Commercial Access |
| |
| This repository contains sample data only. The full dataset of 5,100 |
| hours of NCERT lecture recordings is available for commercial AI |
| training licensing. |
| |
| **For licensing inquiries contact:** |
| Ankit Dubey — Head of AI Data Partnerships, Collegedunia |
| ankit.dubey@collegedunia.com |
| |
| ## Dataset Curator |
| |
| [Collegedunia Web Private Limited](https://collegedunia.com) | |
| [Prepp](https://prepp.in) |
| |
| Gurugram, Haryana, India |
