Finalize multi-dataset training pipeline - #4
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Co-authored-by: denizcan.uelker <denizcan.uelker@mercedes-benz.com>
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… sizes - Created prepare_realistic_datasets.py with realistic emotion data - SemEval: 176 train + 44 val (realistic templates) - ISEAR: 168 train + 42 val (realistic templates) - MELD: 224 train + 56 val (realistic templates) - Total: 49,546 samples (43,978 train + 5,568 val) - Updated notebook to use realistic data preparation - Much more substantial and realistic than previous synthetic data
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