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---
license: cc-by-4.0
dataset_info:
- config_name: data-ms
features:
- name: file name
dtype: string
- name: IBSN
dtype: string
- name: subject
dtype: string
- name: topic
dtype: string
- name: Questions
dtype: string
- name: figures
sequence: image
- name: label
sequence: string
- name: Options
dtype: string
- name: Answers
dtype: string
splits:
- name: eval
num_bytes: 34663548
num_examples: 614
download_size: 34559856
dataset_size: 34663548
- config_name: data_en
features:
- name: FileName
dtype: string
- name: IBSN
dtype: string
- name: Subject
dtype: string
- name: Topic
dtype: string
- name: Questions
dtype: string
- name: Figures
sequence: image
- name: Label
sequence: string
- name: Options
dtype: string
- name: Answers
dtype: string
splits:
- name: eval
num_bytes: 34663548
num_examples: 614
- name: train
num_bytes: 34663548.0
num_examples: 614
download_size: 69119656
dataset_size: 69327096.0
tags:
- mathematics
- physics
- llms
- Malaysia
- Asia
size_categories:
- n<1K
configs:
- config_name: data_en
data_files:
- split: eval
path: data_en/train-*
- split: train
path: data_en/train-*
- config_name: data_ms
data_files:
- split: eval
path: data_ms/eva-*
language:
- en
- ms
---
**STEM_Dataset_eng_ms**
**A Bilingual Dataset for Evaluating Reasoning Skills in STEM Subjects**
This dataset provides a comprehensive evaluation set for tasks assessing reasoning skills in Science, Technology, Engineering, and Mathematics (STEM) subjects. It features questions in both English and Malay, catering to a diverse audience.
**Key Features**
* **Bilingual:** Questions are available in English and Malay, promoting accessibility for multilingual learners.
* **Visually Rich:** Questions are accompanied by figures to enhance understanding and support visual and contextual reasoning.
* **Focus on Reasoning:** The dataset emphasizes questions requiring logical reasoning and problem-solving skills, as opposed to simple recall of knowledge.
* **Real-World Context:** Questions are derived from real-world scenarios, such as past SPM (Sijil Pelajaran Malaysia) examinations, making them relatable to students.
**Dataset Structure**
The dataset is comprised of two configurations: `data_en` (English) and `data_ms` (Malay). Both configurations share the same features and structure.
**Data Fields**
* **FileName:** Unique identifier for the source file (alphanumeric).
* **IBSN:** International Standard Book Number of the source book (if available).
* **Subject:** Academic subject (e.g., Physics, Mathematics).
* **Topic:** Specific topic of the question within the subject (may be missing).
* **Questions:** Main body of the question or problem statement.
* **Figures:** List of associated image files related to the question (empty if no figures are present).
* **Label:** Original caption or description of each image in the `imgs` list.
* **Options:** Possible answer choices for the question, with keys (e.g., "A", "B", "C", "D") and corresponding text.
* **Answers:** Correct answer to the question, represented by the key of the correct option (e.g., "C").
## Data Instance Example
```json
{
"FileName": "FC064244",
"ISBN": "9786294703681",
"Subject": "Physics",
"Topic": "Measurement",
"Questions": "State the physical quantity that can be measured using the measuring device shown in Diagram 1.",
"Figures": [
{
"label": "Diagram 1",
"path": "FC064244_C1_Q12_ImageFile_0.png"
}
],
"Options": {
"A": "Weight",
"B": "Mass",
"C": "Amount of substance",
"D": "Volume"
},
"Answers": "B"
}
```
**Data Split**
The dataset is split between Physics and Mathematics subjects, with some questions lacking topic categorization.
| Subject | Instances with Topic | Instances without Topic | Total |
|-------------|----------------------|-------------------------|-------|
| Physics | 316 | 77 | 393 |
| Mathematics | 32 | 189 | 221 |
**Known Limitations**
* **Subject Coverage:** The current version focuses on Physics and Mathematics. Future releases will include more STEM subjects.
* **Answer Accuracy:** Answers are extracted from various sources and may contain inaccuracies.
**Source**
The dataset is derived from a combination of resources, including:
* SPM past-year exams
* SPM mock exams
* Educational exercise books
**Data Acquisition Method**
* Optical Character Recognition (OCR) for text extraction
* Manual quality control (QC) to ensure data accuracy
**Versioning and Maintenance**
* **Current Version:** 1.0.0
* **Release Date:** December 27, 2024
* **Contact:** We welcome any feedback or corrections to improve the dataset quality.
**License**
This dataset is licensed under the [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).
**Getting Started**
You can access the dataset on Hugging Face using the following commands:
```bash
# For English data
pip install datasets
from datasets import load_dataset
dataset = load_dataset("Supa-AI/STEM-en-ms", config_name="data_en")
# For Malay data
dataset = load_dataset("Supa-AI/STEM-en-ms", config_name="data_ms")
```
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