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---
license: apache-2.0
task_categories:
- question-answering
language:
- th
- en
tags:
- thai
- onet
- university entrance exams
- exams
pretty_name: Thai O-Net Exams
size_categories:
- n<1K
---
# Thai O-Net Exams Dataset

## Overview
The Thai O-Net Exams dataset is a comprehensive collection of exam questions and answers from the Thai Ordinary National Educational Test (O-Net). This dataset covers various subjects for Grade 12 (M6) level, designed to assist in educational research and development of question-answering systems.

### Dataset Source
[Thai National Institute of Educational Testing Service (NIETS)](https://www.niets.or.th/th/catalog/view/630)

### Maintainer
Dr. Kobkrit Viriyayudhakorn
Email: [email protected]

## Data Structure

### Subjects Included
- English
- Mathematics
- Science
- Social Studies
- Thai Language

Each subject dataset includes:
- **Testing Set**: Questions from the year 2021.
- **Training Set**: Questions spanning 2019-2020. For Social Studies, the span is 2016-2020.

### Key Features
- **Split Data**: The dataset is divided into training and testing sets, allowing for effective model training and evaluation.
- **Question Format**: All questions are provided in text format.
- **Multiple Choice Questions**: The dataset includes multiple choice questions, offering a range of possible answers for each query.
- **Solutions**: Correct answers to all questions are provided.
- **Thai Human Verification**: Each item in the dataset has been verified by a Thai-speaking individual who is not a domain expert, ensuring the clarity and accessibility of the content.
- **Extra Annotations**:
  - `isAnswerable`: Indicates whether the question can be answered with the provided text alone, without the need for additional information such as visual aids.
  - `isMultipleChoice`: Identifies if the question is a multiple choice question.
  - `isSingleChoiceSolution`: Specifies if there is only one correct answer among the provided choices.

## Usage

This dataset is ideal for developing and evaluating models in the domain of educational question-answering systems. It provides a unique opportunity to explore multilingual processing in the context of Thai and English.

For detailed usage guidelines, please refer to the Apache 2.0 License.

## Acknowledgements

This dataset was compiled and maintained with contributions from Dr. Kobkrit Viriyayudhakorn and the Thai National Institute of Educational Testing Service (NIETS).

---