Modalities: Text
language:
- ar
license: cc-by-4.0
task_categories:
- question-answering
- multiple-choice
task_ids:
- multiple-choice-qa
modalities:
- text
formats:
- parquet
tags:
- arabic
- non-stem
- question-answering
- mcqa
- multiple-choice-questions
- educational
- education
- humanities
- social-science
- history
- geography
- economics
- polity
- general-knowledge
- reasoning
- exam-preparation
- competitive-exams
- nlp
- llm
- instruction-tuning
- sft
- rlhf
- self-supervised-learning
- knowledge-retrieval
- educational-ai
- arabic-language
- multilingual
pretty_name: STEM QnA Sample Dataset
size_categories:
- 1K<n<10K
Dataset Description:
This dataset is a large-scale collection of Arabic Non-STEM Question Answering (QA) data, containing 70,518 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 Arabic.
It is well-suited for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, helping improve model performance in question answering, reasoning, and multilingual general knowledge tasks.
Dataset Specification
-Total: 70,518
-Modality: Arabic text (MCQ-based question-answer pairs)
-Type: Educational / (Non-STEM)
-Data Source: Curated academic and general knowledge resources
-Data Nature: Real-world and curated data
-Content: Questions with options and correct answers
Key Use Cases
-Question Answering (QA) (MCQ-based) in Arabic
-Automated tutoring and educational assistants
-Knowledge retrieval systems
-Model benchmarking and evaluation
Value of This Dataset
-Supports learning of general knowledge domains in Arabic
-Improves reasoning and comprehension capabilities of AI models
-Enables development of multilingual QA systems
-Enhances accuracy of LLMs in non-STEM domains
-Provides broad coverage across diverse subjects
Basic JSON Schema
{
"answer_type": "string",
"q_string": "string",
"q_option": ["string"],
"q_answer": "string",
"lang_code": "string",
"category": "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