README.md

---
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")
```