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main.py
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main.py
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import argparse
import openai
from pipeline.config import OPENAI_API_KEY
from pipeline.disambiguate import disambiguate
from pipeline.evaluate import evaluate
from pipeline.run import run
def main():
parser = argparse.ArgumentParser(
description="Arguments of input for task functions"
)
parser.add_argument(
"-t",
"--task",
type=str,
default="run",
choices=["run", "evaluate", "disambiguate"],
required=True,
help="Task"
)
parser.add_argument(
"-d",
"--dataset",
type=str,
default="val",
required=True,
help="Dataset"
)
parser.add_argument(
"-m",
"--model",
default="gpt-3.5-turbo",
type=str,
required=True,
help="Model"
)
parser.add_argument(
"-s",
"--setting",
default="few-shot",
type=str,
choices=['zero-shot', 'few-shot', 'context', 'sem-sim'],
required=True,
help="Probing setting"
)
parser.add_argument(
"-p",
"--prompt",
type=str,
default='question',
choices=['question', 'triple', 'submission'],
required=True,
help="Prompt type"
)
parser.add_argument(
"-r",
"--relation",
type=str,
required=True,
help="Relation"
)
parser.add_argument(
"-c",
"--compare",
action="store_true",
required=False,
help="Display the difference if True when evaluation (optional)"
)
parser.add_argument(
"-w",
"--write",
action="store_true",
required=False,
help="Path if save the evaluation results (optional)"
)
args = parser.parse_args()
openai.api_key = OPENAI_API_KEY
if args.task == "run":
run(args)
elif args.task == "evaluate":
evaluate(args)
elif args.task == "disambiguate":
disambiguate(args)
else:
raise NotImplementedError("Please select your task from ['run', 'evaluate', 'disambiguate'].")
if __name__ == "__main__":
main()