WebMultiChoice¶
WebMultiChoice
is a Singleton
task that answers multiple-choice questions using web search and evaluation.
Inputs¶
- question (
str
): The multiple-choice question to be answered. - choices (
List[str]
): A list of possible answer choices for the question.
Outputs¶
- answer (
str
): The evaluated answer to the multiple-choice question. - model (
str
): The model used to generate the answer.
Workflow Steps¶
- Generate a web search query based on the question and choices.
- Select a URL from the search results.
- Scrape content from the selected URL.
- Generate notes based on the scraped content and the question.
- Evaluate the notes and choices to determine the best answer.
Example¶
Answer a multiple-choice question using web search and evaluation. This example uses the QWEN2_5_7B_FP16
model.
import os
import asyncio
from dria.factory import WebMultiChoice
from dria.client import Dria
from dria.models import Task, Model
dria = Dria(rpc_token=os.environ["DRIA_RPC_TOKEN"])
async def evaluate():
web_multi_choice = WebMultiChoice()
question = "A 26-year-old gravida 2 para 1 at 24 weeks gestation is admitted to the labor and delivery suite with mild abdominal cramps, uterine contractions, and a watery vaginal discharge. She has a history of preterm birth. The vital signs are as follows: blood pressure 125/80 mm Hg; heart rate 100/min; respiratory rate 13/min; and temperature 36.6℃ (97.9℉). The pelvic examination reveals cervical softening and shortening. Transvaginal ultrasound shows a cervical length of 12 mm, which is consistent with preterm labor. A tocolytic and a single dose of betamethasone are administered. Betamethasone stimulates which fetal cells?"
choices = ["Goblet cells", "Bronchial epithelial cells", "Type II pneumocytes", "Vascular smooth myocytes"] # Type II pneumocytes
res = await dria.execute(
Task(
workflow=web_multi_choice.workflow(question=question, choices=choices),
models=[Model.QWEN2_5_7B_FP16],
),
timeout=200,
)
return web_multi_choice.parse_result(res)
def main():
result = asyncio.run(evaluate())
print(result)
if __name__ == "__main__":
main()
Expected output
{
"answer":"Answer: Based on the provided information and the analysis, the most likely correct answer is: **Type II pneumocytes** ### Detailed Reasoning: 1. **Medical Context and Purpose of Betamethasone:** - Betamethasone is a corticosteroid used to accelerate fetal lung maturity in response to preterm labor. - The primary goal is to reduce the risk of neonatal respiratory distress syndrome (RDS) by promoting surfactant production. 2. **Fetal Cells Targeted by Betamethasone:** - The reference materials and analyses clearly indicate that betamethasone stimulates the production of pulmonary surfactant in the fetal lungs. - Surfactant is primarily produced by type II pneumocytes (also known as type II alveolar cells). 3. **Relevant Analyses:** - The provided context mentions that 'Betamethasone is a corticosteroid that is often used in obstetric practice to promote lung maturity in the fetus, thereby reducing neonatal morbidity and mortality associated with preterm birth.' - It further states that betamethasone stimulates the synthesis of surfactant by the fetal lungs. - The key point is that it 'primarily stimulates the production of surfactant by type II alveolar cells in the fetal lungs.' 4. **Elimination of Other Options:** - **Goblet cells:** These are found in various parts of the respiratory tract, including the bronchi and trachea, but not specifically involved in surfactant production. - **Bronchial epithelial cells:** While these cells line the airways, they are not primarily responsible for surfactant production. - **Vascular smooth myocytes:** These are muscle cells found in blood vessel walls and are not related to lung function or surfactant production. ### Conclusion: Given that betamethasone is specifically used to promote lung maturity by stimulating the production of pulmonary surfactant, which is a critical function performed by type II pneumocytes, the most likely correct option among those provided is **Type II pneumocytes**.",
"model":"qwen2.5:7b-instruct-fp16"
}