|
|
|
|
|
|
|
|
def generate_memory_samples(dictionaries, count=50, source_language="en"): |
|
|
samples = [] |
|
|
|
|
|
memories = [ |
|
|
"The user prefers concise explanations.", |
|
|
"The user asked about system behavior earlier.", |
|
|
"The user is exploring identity and intent.", |
|
|
"The user is learning the Glyphic protocol.", |
|
|
"The user values structured responses." |
|
|
] |
|
|
|
|
|
for i in range(count): |
|
|
memory = memories[i % len(memories)] |
|
|
|
|
|
user_text = "What do you remember?" |
|
|
glyphic = f"MEMORY(summary='{memory}')" |
|
|
realized = f"I recall that {memory.lower()}" |
|
|
|
|
|
samples.append({ |
|
|
"input": user_text, |
|
|
"glyphic": glyphic, |
|
|
"output": realized, |
|
|
"memory": memory, |
|
|
"emotion": "neutral", |
|
|
"sensory": "none", |
|
|
"social": "alone" |
|
|
}) |
|
|
|
|
|
return samples |
|
|
|
|
|
|
