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arguments.py
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48 lines (39 loc) · 2.01 KB
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# -!- coding: utf-8 -!-
import argparse
def get_prompt():
std_generation_cnndm_prompt = open("./prompts/std_generation_cnndm.txt").read()
std_generation_xsum_prompt = open("./prompts/std_generation_xsum.txt").read()
cot_generation_cnndm_prompt = open("./prompts/cot_generation_cnndm.txt").read()
cot_generation_xsum_prompt = open("./prompts/cot_generation_xsum.txt").read()
cot_extraction_prompt = ""
for line in open("./prompts/cot_element_extraction.txt"):
cot_extraction_prompt += line
prompt = {"std_generation_cnndm_prompt": std_generation_cnndm_prompt,
"std_generation_xsum_prompt": std_generation_xsum_prompt,
"cot_generation_cnndm_prompt": cot_generation_cnndm_prompt,
"cot_generation_xsum_prompt": cot_generation_xsum_prompt,
"cot_extraction_prompt": cot_extraction_prompt}
return prompt
def parse_arguments():
parser = argparse.ArgumentParser(description="SumCoT")
parser.add_argument("--cot_true", type=bool, default="False",
help="standard or cot-based generation")
parser.add_argument("--model", type=str, default="gpt3-xl",
choices=["gpt3", "gpt3-medium", "gpt3-large", "gpt3-xl"],
help="model used for decoding")
parser.add_argument("--dataset", type=str, default="cnndm",
choices=["cnndm", "xsum"], help="dataset source")
parser.add_argument("--start_id", type=int, default="0")
parser.add_argument("--end_id", type=int, default="0")
args = parser.parse_args()
prompt = get_prompt()
args.cot = prompt["cot_extraction_prompt"]
if args.dataset == "cnndm":
args.std_prompt = prompt["std_generation_cnndm_prompt"]
args.cot_prompt = prompt["cot_generation_cnndm_prompt"]
elif args.dataset == "xsum":
args.std_prompt = prompt["std_generation_xsum_prompt"]
args.cot_prompt = prompt["cot_generation_xsum_prompt"]
else:
raise "Invalid Dataset!"
return args