Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
parquet
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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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` (~
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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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