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@@ -71,9 +71,8 @@ This dataset combines multiple high-quality MCQA sources to support research and
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  This dataset is split into three parts:
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- - `train` (~70%) — for training MCQA models
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  - `validation` (~15%) — for tuning and monitoring performance during training
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- - `test` (~15%) — for final evaluation on unseen questions
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  It is suitable for multiple-choice question answering tasks, especially in the **STEM** domain (Science, Technology, Engineering, Mathematics).
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  This dataset is split into three parts:
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+ - `train` (~85%) — for training MCQA models
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  - `validation` (~15%) — for tuning and monitoring performance during training
 
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  It is suitable for multiple-choice question answering tasks, especially in the **STEM** domain (Science, Technology, Engineering, Mathematics).
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