Abhay557/indian-exams-rawdata

Indian Competitive Exams Raw Dataset (GATE, JEE Main & JEE Advanced)

This dataset contains raw PDF question papers, official answer keys, and extracted/parsed question structured data for major Indian national-level competitive engineering examinations: GATE, JEE Advanced, and JEE Main, spanning multiple years (2007–2025).

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Data Sources & Attribution

The data in this repository was scraped and compiled from official conducting authority portals and public educational archives for research, educational, and benchmarking purposes:

Exam	Conducting Bodies / Sources	Source URL	Content Included
GATE	Indian Institute of Technology (IIT) Guwahati & GATE Organizing Committee	https://gate2026.iitg.ac.in/download.html	Official Question Papers & Answer Keys (2007–2025) across all subjects
JEE Advanced	Joint Admission Board (JAB) & Organising IITs	https://jeeadv.ac.in/past_qps	Paper 1 & Paper 2 (English & Hindi) and AAT Papers (2007–2025)
JEE Main	National Testing Agency (NTA) / MathonGo PYQ Archive	https://www.mathongo.com/iit-jee/jee-main-previous-year-question-paper	Session-wise & shift-wise question papers and answer keys

Attribution Note: All examination questions and original PDF content remain the intellectual property of their respective conducting bodies (IITs for GATE & JEE Advanced, NTA for JEE Main). This collection is shared under public domain / fair use guidelines for educational, open-source benchmarking, and AI research purposes.

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Dataset Structure

rawdata/
├── gate/                  # GATE Exam PDFs sorted by Year / Type (Question_Papers & Answer_Keys)
│   ├── 2024/
│   │   ├── Question_Papers/
│   │   └── Answer_Keys/
│   └── ...
├── jeeadv/                # JEE Advanced PDFs (Paper 1, Paper 2, English/Hindi, AAT)
│   ├── 2024/
│   ├── aat/
│   └── ...
├── jeemains/              # JEE Main PDFs categorized by Year and Shift
│   ├── 2024/
│   └── ...

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How to Use

1. Using Hugging Face Datasets (Python)

from datasets import load_dataset

# Load repository directly from Hugging Face Hub
dataset = load_dataset("abhay557/indian-exams-rawdata")

2. Using Kaggle Datasets API

# Download via Kaggle CLI
kaggle datasets download -d abhay557/indian-exams-rawdata

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Citation & Contact

If you use this dataset in your research, benchmark, or application, please cite the original examination authorities:

@misc{indian_exams_rawdata_2026,
  title={Indian Competitive Examinations Dataset: GATE, JEE Advanced, JEE Main},
  author={SarvPariksha Dataset Maintainers},
  year={2026},
  howpublished={\url{https://huggingface.gg/datasets}},
  note={Aggregated from GATE Organising Committee, JAB IITs, and NTA public archives}
}