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import argparse |
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import os |
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import random |
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import numpy as np |
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from lm_eval import tasks |
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from lm_eval.tasks import TaskManager |
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from lm_eval.utils import eval_logger, join_iters |
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EXAMPLE_DIVIDER = "!!@@##@@!! -- Example {i}\n" |
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def parse_args(): |
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parser = argparse.ArgumentParser() |
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parser.add_argument("--output_base_path", "--output_path", required=True) |
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parser.add_argument("--tasks", default="all_tasks") |
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parser.add_argument("--sets", type=str, default="val") |
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parser.add_argument("--num_fewshot", type=int, default=1) |
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parser.add_argument("--seed", type=int, default=42) |
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parser.add_argument("--num_examples", type=int, default=1) |
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parser.add_argument( |
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"--include_path", |
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type=str, |
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default=None, |
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help="Additional path to include if there are external tasks to include.", |
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) |
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parser.add_argument( |
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"--verbosity", |
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type=str, |
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default="INFO", |
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help="Log error when tasks are not registered.", |
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) |
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return parser.parse_args() |
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def main(): |
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args = parse_args() |
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np.random.seed(args.seed) |
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if args.include_path is not None: |
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eval_logger.info(f"Including path: {args.include_path}") |
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task_manager = TaskManager(args.verbosity, include_path=args.include_path) |
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if args.tasks == "all_tasks": |
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task_names = task_manager.all_tasks |
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else: |
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task_names = args.tasks.split(",") |
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task_dict = tasks.get_task_dict(task_names, task_manager) |
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os.makedirs(args.output_base_path, exist_ok=True) |
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for task_name, task in task_dict.items(): |
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if isinstance(task, tuple): |
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_, task = task |
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rnd = random.Random() |
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rnd.seed(args.seed) |
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iters = [] |
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for set in args.sets.split(","): |
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docs = None |
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if set == "train" and task.has_training_docs(): |
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docs = task.training_docs() |
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if set == "val" and task.has_validation_docs(): |
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docs = task.validation_docs() |
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if set == "test" and task.has_test_docs(): |
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docs = task.test_docs() |
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if docs is not None: |
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iters.append(docs) |
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docs = join_iters(iters) |
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with open( |
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os.path.join(args.output_base_path, task_name), "w", encoding="utf8" |
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) as f: |
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for i, doc in ( |
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zip(range(args.num_examples), docs) |
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if args.num_examples > 0 |
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else enumerate(docs) |
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): |
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f.write(EXAMPLE_DIVIDER.format(i=i)) |
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ctx = task.fewshot_context( |
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doc=doc, |
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num_fewshot=args.num_fewshot, |
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) |
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f.write(ctx + "\n") |
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if __name__ == "__main__": |
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main() |
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