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