---
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*

<!-- | 🌐 Language(s)|     🧠 Task Category      |            Reference            |
| ------------- | ------------------------- | ------------------------------- |
|     Arabic    | Multiple Choice Questions | **{{paper_title & Reference}}** | -->

#### 🔗 Hugging Face Usage Example
```python
from datasets import load_dataset
dataset = load_dataset("humain-ai/Etec")
```

#### 📄 **Reference:**
[{{paper_title & Reference}}](https://www.example.com)