SemanticTriplet¶
SemanticTriplet
is a Singleton
task that generates a JSON object containing three textual units with specified semantic similarity scores.
Inputs¶
- unit (
str
): The type of textual unit to generate (e.g., "sentence", "paragraph"). - language (
str
): The language in which the units should be written. - high_score (
int
): The similarity score between S1 and S2 (1 to 5). - low_score (
int
): The similarity score between S1 and S3 (1 to 5). - difficulty (
str
): The education level required to understand the units (e.g., "college", "high school").
Outputs¶
- semantic_triple (
dict
): A JSON object containing three textual units (S1, S2, S3) with specified semantic similarity scores.
Example¶
Generate a semantic triplet with specified parameters. This example uses the GEMMA2_9B_FP16
model.
import os
import asyncio
from dria.factory import SemanticTriplet
from dria.client import Dria
from dria.models import Task, Model
dria = Dria(rpc_token=os.environ["DRIA_RPC_TOKEN"])
async def evaluate():
semantic_triplet = SemanticTriplet()
res = await dria.execute(
Task(
workflow=semantic_triplet.workflow(
unit="sentence",
language="English",
high_score=4,
low_score=2,
difficulty="college"
),
models=[Model.LLAMA3_2_3B],
),
timeout=45,
)
return semantic_triplet.parse_result(res)
def main():
result = asyncio.run(evaluate())
print(result)
if __name__ == "__main__":
main()
Expected output
{
"S1": "The intricate dance of quantum fluctuations within the cosmos is a fascinating phenomenon that has garnered significant attention from physicists.",
"S2": "The dynamic interplay between chaos theory and cosmology reveals a profound understanding of the universe's underlying mechanisms.",
"S3": "In the realm of relativity, the curvature of spacetime is a fundamental concept that underpins our comprehension of the cosmos.",
"model": "llama3.2:3b"
}