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import argparse
import os
import yaml
from promptsource.templates import DatasetTemplates
from tqdm import tqdm
# from lm_eval.api.registry import ALL_TASKS
from lm_eval.logger import eval_logger
# from lm_eval.tasks import include_task_folder
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--benchmark_name", required=True)
parser.add_argument("--benchmark_path", required=True)
parser.add_argument("--task_save_path", default="lm_eval/tasks/")
return parser.parse_args()
if __name__ == "__main__":
args = parse_args()
with open(args.benchmark_path, encoding="utf-8") as file:
TASK_LIST = yaml.full_load(file)
for task in tqdm(TASK_LIST):
eval_logger.info(f"Processing {task}")
dataset_name = task["dataset_path"]
if "dataset_name" in task:
subset_name = task["dataset_name"]
file_subdir = f"{dataset_name}/{subset_name}"
else:
subset_name = None
file_subdir = f"{dataset_name}"
file_path = os.path.join(args.task_save_path, file_subdir, "promptsource/")
os.makedirs(file_path, exist_ok=True)
if subset_name is None:
prompts = DatasetTemplates(dataset_name=dataset_name)
else:
prompts = DatasetTemplates(
dataset_name=dataset_name, subset_name=subset_name
)
for idx, prompt_name in enumerate(prompts.all_template_names):
full_file_name = f"promptsource_{idx}.yaml"
config_dict = {
"group": args.benchmark_name,
"include": "promptsource_template.yaml",
"use_prompts": f"promptsource:{prompt_name}",
}
file_save_path = os.path.join(file_path, full_file_name)
eval_logger.info(f"Save to {file_save_path}")
with open(file_save_path, "w", encoding="utf-8") as yaml_file:
yaml.dump(config_dict, yaml_file)
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