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chore: import upstream snapshot with attribution
2026-07-13 13:36:38 +08:00

57 lines
1.8 KiB
Python

import openai
import instructor
from collections.abc import Iterable
from pydantic import BaseModel, ConfigDict
client = instructor.from_openai(openai.OpenAI())
class SyntheticQA(BaseModel):
question: str
answer: str
model_config = ConfigDict(
json_schema_extra={
"examples": [
{"question": "What is the capital of France?", "answer": "Paris"},
{
"question": "What is the largest planet in our solar system?",
"answer": "Jupiter",
},
{
"question": "Who wrote 'To Kill a Mockingbird'?",
"answer": "Harper Lee",
},
{
"question": "What element does 'O' represent on the periodic table?",
"answer": "Oxygen",
},
]
}
)
def get_synthetic_data() -> Iterable[SyntheticQA]:
return client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "Generate synthetic examples"},
{
"role": "user",
"content": "Generate the exact examples you see in the examples of this prompt. ",
},
],
response_model=Iterable[SyntheticQA],
) # type: ignore
if __name__ == "__main__":
for example in get_synthetic_data():
print(example)
"""
question='What is the capital of France?' answer='Paris'
question='What is the largest planet in our solar system?' answer='Jupiter'
question="Who wrote 'To Kill a Mockingbird'?" answer='Harper Lee'
question="What element does 'O' represent on the periodic table?" answer='Oxygen'
"""