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- ---
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- license: cc-by-4.0
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- configs:
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- - config_name: data_en
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- data_files:
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- - split: train
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- path: data_en/train-*
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- - config_name: data_ms
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- data_files:
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- - split: train
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- path: data_ms/train-*
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- dataset_info:
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- - config_name: data_en
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- features:
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- - name: FileName
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- dtype: string
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- - name: IBSN
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- dtype: string
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- - name: Subject
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- dtype: string
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- - name: Topic
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- dtype: string
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- - name: Questions
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- dtype: string
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- - name: Figures
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- sequence: image
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- - name: Label
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- sequence: string
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- - name: Options
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- dtype: string
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- - name: Answers
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 34663548.0
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- num_examples: 614
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- download_size: 34559819
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- dataset_size: 34663548.0
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- - config_name: data_ms
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- features:
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- - name: FileName
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- dtype: string
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- - name: IBSN
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- dtype: string
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- - name: Subject
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- dtype: string
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- - name: Topic
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- dtype: string
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- - name: Questions
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- dtype: string
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- - name: Figures
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- sequence: image
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- - name: Label
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- sequence: string
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- - name: Options
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- dtype: string
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- - name: Answers
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 34666535.0
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- num_examples: 614
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- download_size: 34558297
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- dataset_size: 34666535.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ dataset_info:
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+ - config_name: data-ms
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+ features:
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+ - name: file name
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+ dtype: string
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+ - name: IBSN
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+ dtype: string
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+ - name: subject
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+ dtype: string
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+ - name: topic
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+ dtype: string
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+ - name: Questions
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+ dtype: string
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+ - name: figures
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+ sequence: image
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+ - name: label
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+ sequence: string
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+ - name: Options
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+ dtype: string
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+ - name: Answers
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+ dtype: string
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+ splits:
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+ - name: eval
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+ num_bytes: 34663548
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+ num_examples: 614
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+ download_size: 34559856
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+ dataset_size: 34663548
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+ - config_name: data_en
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+ features:
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+ - name: FileName
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+ dtype: string
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+ - name: IBSN
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+ dtype: string
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+ - name: Subject
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+ dtype: string
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+ - name: Topic
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+ dtype: string
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+ - name: Questions
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+ dtype: string
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+ - name: Figures
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+ sequence: image
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+ - name: Label
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+ sequence: string
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+ - name: Options
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+ dtype: string
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+ - name: Answers
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+ dtype: string
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+ splits:
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+ - name: eval
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+ num_bytes: 34663548
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+ num_examples: 614
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+ download_size: 34559828
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+ dataset_size: 34663548
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+ tags:
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+ - mathematics
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+ - physics
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+ - llms
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+ - Malaysia
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+ - Asia
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+ size_categories:
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+ - n<1K
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+ configs:
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+ - config_name: data_en
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+ data_files:
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+ - split: eval
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+ path: data_en/train-*
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+ - config_name: data_ms
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+ data_files:
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+ - split: eval
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+ path: data_ms/eva-*
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+ language:
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+ - en
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+ - ms
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+ ---
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+ **STEM_Dataset_eng_ms**
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+
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+ **A Bilingual Dataset for Evaluating Reasoning Skills in STEM Subjects**
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+
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+ 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.
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+
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+ **Key Features**
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+
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+ * **Bilingual:** Questions are available in English and Malay, promoting accessibility for multilingual learners.
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+ * **Visually Rich:** Questions are accompanied by figures to enhance understanding and support visual and contextual reasoning.
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+ * **Focus on Reasoning:** The dataset emphasizes questions requiring logical reasoning and problem-solving skills, as opposed to simple recall of knowledge.
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+ * **Real-World Context:** Questions are derived from real-world scenarios, such as past SPM (Sijil Pelajaran Malaysia) examinations, making them relatable to students.
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+
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+ **Dataset Structure**
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+
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+ The dataset is comprised of two configurations: `data_en` (English) and `data_ms` (Malay). Both configurations share the same features and structure.
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+
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+ **Data Fields**
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+
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+ * **FileName:** Unique identifier for the source file (alphanumeric).
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+ * **IBSN:** International Standard Book Number of the source book (if available).
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+ * **Subject:** Academic subject (e.g., Physics, Mathematics).
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+ * **Topic:** Specific topic of the question within the subject (may be missing).
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+ * **Questions:** Main body of the question or problem statement.
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+ * **Figures:** List of associated image files related to the question (empty if no figures are present).
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+ * **Label:** Original caption or description of each image in the `imgs` list.
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+ * **Options:** Possible answer choices for the question, with keys (e.g., "A", "B", "C", "D") and corresponding text.
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+ * **Answers:** Correct answer to the question, represented by the key of the correct option (e.g., "C").
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+
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+ ## Data Instance Example
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+
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+ ```json
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+ {
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+     "FileName": "FC064244",
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+     "ISBN": "9786294703681",
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+     "Subject": "Physics",
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+     "Topic": "Measurement",
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+     "Questions": "State the physical quantity that can be measured using the measuring device shown in Diagram 1.",
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+     "Figures": [
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+         {
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+             "label": "Diagram 1",
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+             "path": "FC064244_C1_Q12_ImageFile_0.png"
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+         }
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+     ],
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+     "Options": {
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+         "A": "Weight",
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+         "B": "Mass",
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+     ��   "C": "Amount of substance",
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+         "D": "Volume"
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+     },
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+     "Answers": "B"
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+ }
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+ ```
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+
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+ **Data Split**
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+
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+ The dataset is split between Physics and Mathematics subjects, with some questions lacking topic categorization.
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+
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+ | Subject     | Instances with Topic | Instances without Topic | Total |
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+ |-------------|----------------------|-------------------------|-------|
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+ | Physics     | 316                  | 77                      | 393   |
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+ | Mathematics | 32                   | 189                     | 221   |
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+
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+ **Known Limitations**
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+
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+ * **Subject Coverage:** The current version focuses on Physics and Mathematics. Future releases will include more STEM subjects.
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+ * **Answer Accuracy:** Answers are extracted from various sources and may contain inaccuracies.
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+
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+ **Source**
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+
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+ The dataset is derived from a combination of resources, including:
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+
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+ * SPM past-year exams
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+ * SPM mock exams
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+ * Educational exercise books
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+
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+ **Data Acquisition Method**
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+
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+ * Optical Character Recognition (OCR) for text extraction
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+ * Manual quality control (QC) to ensure data accuracy
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+
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+ **Versioning and Maintenance**
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+
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+ * **Current Version:** 1.0.0
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+ * **Release Date:** December 27, 2024
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+ * **Contact:** We welcome any feedback or corrections to improve the dataset quality.
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+
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+ **License**
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+
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+ This dataset is licensed under the [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).
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+
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+ **Getting Started**
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+
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+ You can access the dataset on Hugging Face using the following commands:
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+
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+ ```bash
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+ # For English data
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+ pip install datasets
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+
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("Supa-AI/STEM-en-ms", config_name="data_en")
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+
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+ # For Malay data
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+ dataset = load_dataset("Supa-AI/STEM-en-ms", config_name="data_ms")
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+ ```