README.md

metadata

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

🔗 Hugging Face Usage Example

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

📄 Reference:

{{paper_title & Reference}}