About This Dataset
This dataset contains context passages with corresponding questions and answers for question answering tasks. Perfect for training QA models, reading comprehension systems, and transformer-based language models.
Features
Context Passages
Rich contextual information for comprehension
Questions and Answers
Paired Q&A sets for training
Multiple Domains
Diverse topics and subject areas
SQuAD Format
Standard format compatible with popular QA frameworks
Ready for Transformers
Optimized for BERT, GPT, and other transformer architectures
Technologies
Difficulty Level
Advanced
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Question Papers
Access question papers and answer keys for all classes, boards, and competitive exams from previous years (2020-2025). All papers are publicly available and free to download.
Question Papers Available:
- General Papers: Class 1 to Class 12 (Structure ready for real papers)
- West Bengal Board: WBBSE (Class 10) & WBCHSE (Class 12)
- CBSE Board: Class 10 & Class 12
- Competitive Exams: JEE Main, JEE Advanced, NIT, WBJEE
- Years: 2020, 2021, 2022, 2023, 2024, 2025
- Note: Real question papers need to be downloaded from official sources. See README_REAL_PAPERS.md for instructions.
Code Examples
Using with Hugging Face Transformers
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
import json
# Load the dataset
with open('squad_format.json', 'r') as f:
dataset = json.load(f)
# Load a pre-trained model
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModelForQuestionAnswering.from_pretrained("bert-base-uncased")Using with CSV
import pandas as pd
# Load CSV dataset
df = pd.read_csv('dataset.csv')
print(df.head())