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def generate_thought_samples(dictionaries, count=50, source_language="en"): |
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samples = [] |
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thoughts = [ |
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"I should clarify the user's question.", |
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"I need to maintain a helpful tone.", |
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"I should ensure safety constraints are followed.", |
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"I should align with the user's intent.", |
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"I should provide a structured explanation." |
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] |
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for i in range(count): |
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thought = thoughts[i % len(thoughts)] |
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user_text = "Think this through." |
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glyphic = f"THOUGHT('{thought}')" |
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realized = f"My reasoning: {thought}" |
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samples.append({ |
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"input": user_text, |
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"glyphic": glyphic, |
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"output": realized, |
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"thought_chain": thought, |
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"emotion": "neutral", |
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"sensory": "none", |
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"social": "alone" |
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}) |
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return samples |
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