README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: int32
    - name: question
      dtype: string
    - name: choices
      sequence: string
    - name: label
      dtype: string
  splits:
    - name: test
      num_bytes: 820207
      num_examples: 1887
    - name: validation
      num_bytes: 3368
      num_examples: 5
  download_size: 337835
  dataset_size: 823575
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*
      - split: validation
        path: data/validation-*
task_categories:
  - multiple-choice
language:
  - ar
pretty_name: ETEC
size_categories:
  - 1K<n<10K

🗂️ Dataset: ETEC

📋 Description:

The Education & Training Evaluation Commission (ETEC) is an independent body in Saudi Arabia that oversees the evaluation and accreditation of educational and training qualifications. It offers over 42 types of qualification tests across all levels. From these, 1,887 MCQs were selected, including items from the Qudurati series—tests designed to assess students' aptitude in comprehension, reasoning, and learning readiness from grades 3 to 10.

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

🔗 Hugging Face Usage Example

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

📄 Reference:

{{paper_title & Reference}}