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samples = stratified_sample(corpus
n=sample_size)
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95,816 skills indexed with the new KISS metadata standard.
n=sample_size)
llm_fn=None):
output_schema: dict = None) -> dict | str:
schema: output_schema}
(dict
value_str)
indent=2
variables: dict[str
value in variables.items():
str):
[]):
?)
dict):
sample from each
sample in enumerate(samples
dict]:
n: int = 15) -> list[dict]:
'r'
not assumed.
insights in paragraphs.
how should it be updated?
patterns
or is it something new?
guessing