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Update README.md

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@@ -94,15 +94,47 @@ MLP_DROPOUTS = [0.0, 0.1, 0.1, 0.1] # For 'Small' models
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  # Mapping from .pth file name parts to human-readable dimension keys
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  # (Abridged, full map in Colab Cell 2)
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- FILENAME_PART_TO_TARGET_KEY_MAP = {
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- "Affection": "Affection", "Amusement": "Amusement", "Anger": "Anger",
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- "Arousal": "Arousal", "Valence": "Valence", # ... and many more
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- # Add all 40 emotions and other attributes as per Colab Cell 2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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- TARGET_EMOTION_KEYS_FOR_REPORT = [ # The 40 primary emotions
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- "Amusement", "Elation", # ... (full list from Colab Cell 2)
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- ]
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  # --- MLP Model Definition (from Colab Cell 2) ---
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  class FullEmbeddingMLP(nn.Module):
 
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  # Mapping from .pth file name parts to human-readable dimension keys
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  # (Abridged, full map in Colab Cell 2)
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+
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+ FILENAME_PART_TO_TARGET_KEY_MAP: Dict[str, str] = {
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+ "Affection": "Affection", "Age": "Age", "Amusement": "Amusement", "Anger": "Anger",
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+ "Arousal": "Arousal", "Astonishment_Surprise": "Astonishment/Surprise",
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+ "Authenticity": "Authenticity", "Awe": "Awe", "Background_Noise": "Background_Noise",
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+ "Bitterness": "Bitterness", "Concentration": "Concentration",
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+ "Confident_vs._Hesitant": "Confident_vs._Hesitant", "Confusion": "Confusion",
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+ "Contemplation": "Contemplation", "Contempt": "Contempt", "Contentment": "Contentment",
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+ "Disappointment": "Disappointment", "Disgust": "Disgust", "Distress": "Distress",
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+ "Doubt": "Doubt", "Elation": "Elation", "Embarrassment": "Embarrassment",
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+ "Emotional_Numbness": "Emotional Numbness", "Fatigue_Exhaustion": "Fatigue/Exhaustion",
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+ "Fear": "Fear", "Gender": "Gender", "Helplessness": "Helplessness",
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+ "High-Pitched_vs._Low-Pitched": "High-Pitched_vs._Low-Pitched",
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+ "Hope_Enthusiasm_Optimism": "Hope/Enthusiasm/Optimism",
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+ "Impatience_and_Irritability": "Impatience and Irritability",
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+ "Infatuation": "Infatuation", "Interest": "Interest",
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+ "Intoxication_Altered_States_of_Consciousness": "Intoxication/Altered States of Consciousness",
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+ "Jealousy_&_Envy": "Jealousy / Envy", "Longing": "Longing",
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+ "Malevolence_Malice": "Malevolence/Malice",
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+ "Monotone_vs._Expressive": "Monotone_vs._Expressive", "Pain": "Pain",
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+ "Pleasure_Ecstasy": "Pleasure/Ecstasy", "Pride": "Pride",
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+ "Recording_Quality": "Recording_Quality", "Relief": "Relief", "Sadness": "Sadness",
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+ "Serious_vs._Humorous": "Serious_vs._Humorous", "Sexual_Lust": "Sexual Lust",
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+ "Shame": "Shame", "Soft_vs._Harsh": "Soft_vs._Harsh", "Sourness": "Sourness",
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+ "Submissive_vs._Dominant": "Submissive_vs._Dominant", "Teasing": "Teasing",
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+ "Thankfulness_Gratitude": "Thankfulness/Gratitude", "Triumph": "Triumph",
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+ "Valence": "Valence",
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+ "Vulnerable_vs._Emotionally_Detached": "Vulnerable_vs._Emotionally_Detached",
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+ "Warm_vs._Cold": "Warm_vs._Cold"
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  }
 
 
 
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+ TARGET_EMOTION_KEYS_FOR_REPORT: List[str] = [
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+ "Amusement", "Elation", "Pleasure/Ecstasy", "Contentment", "Thankfulness/Gratitude",
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+ "Affection", "Infatuation", "Hope/Enthusiasm/Optimism", "Triumph", "Pride",
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+ "Interest", "Awe", "Astonishment/Surprise", "Concentration", "Contemplation",
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+ "Relief", "Longing", "Teasing", "Impatience and Irritability",
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+ "Sexual Lust", "Doubt", "Fear", "Distress", "Confusion", "Embarrassment", "Shame",
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+ "Disappointment", "Sadness", "Bitterness", "Contempt", "Disgust", "Anger",
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+ "Malevolence/Malice", "Sourness", "Pain", "Helplessness", "Fatigue/Exhaustion",
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+ "Emotional Numbness", "Intoxication/Altered States of Consciousness", "Jealousy / Envy"
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+ ]
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  # --- MLP Model Definition (from Colab Cell 2) ---
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  class FullEmbeddingMLP(nn.Module):