humain-ai/IEN_TF

---
dataset_info:
features:
- name: idx
dtype: int64
- name: Question
dtype: string
- name: Subject
dtype: string
- name: domain
dtype: string
- name: Choices
dtype: string
- name: Answer
dtype: int64
- name: QuestionCode
dtype: string
- name: QuestionType
dtype: string
- name: DifficultyFactor
dtype: string
- name: Stage
dtype: string
- name: ClassTitle
dtype: string
- name: Semester
dtype: string
- name: Level
dtype: string
- name: SubjectTitle
dtype: string
- name: UnitTitle
dtype: string
- name: LessonTitle
dtype: string
- name: LessonPath
dtype: string
- name: ViewQuestionURL
dtype: string
- name: SubjectPath
dtype: string
splits:
- name: test
num_bytes: 4760466
num_examples: 5823
- name: validation
num_bytes: 155088
num_examples: 190
download_size: 788896
dataset_size: 4915554
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
- split: validation
path: data/validation-*
task_categories:
- multiple-choice
language:
- ar
pretty_name: IEN TF
size_categories:
- 1K<n<10K
---

## 🗂️ Dataset: IEN TF
#### 📋 **Description:**
A total of 5,823 true/false questions were randomly selected from the IEN platform, a vast repository of more than 1.5 million questions and answers, meticulously classified into varying levels of difficulty. This subset was chosen to ensure coverage across various grades, subjects, and difficulty levels, providing a representative sample for evaluation purposes.

🌐 **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/IEN_TF")
```

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