README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: int32
    - name: question
      dtype: string
    - name: choice1
      dtype: string
    - name: choice2
      dtype: string
    - name: choice3
      dtype: string
    - name: choice4
      dtype: string
    - name: domain
      dtype: string
    - name: sub-domain
      dtype: string
    - name: answer
      dtype: int32
  splits:
    - name: test
      num_bytes: 1832905
      num_examples: 5001
    - name: validation
      num_bytes: 35799
      num_examples: 110
  download_size: 798187
  dataset_size: 1868704
configs:
  - config_name: AraPro
    data_files:
      - split: test
        path: data/test-*
      - split: validation
        path: data/validation-*
task_categories:
  - multiple-choice
language:
  - ar
pretty_name: AraPro
size_categories:
  - n<1K

🗂️ Dataset: AraPro

📋 Description:

The dataset includes 5,001 multiple-choice questions (MCQs), thoughtfully developed by university professors from 19 distinct knowledge domains. These subject matter experts were chosen and guided to design questions that represent the core competencies expected of professionals in their respective areas.

🌐 Language(s): Arabic | 🧠 Task Category: Multiple Choice Questions

🔗 Hugging Face Usage Example

from datasets import load_dataset
dataset = load_dataset("humain-ai/AraPro")

📄 Reference:

{{paper_title & Reference}}