| import argparse |
| import os |
| import numpy as np |
|
|
| import lm_eval |
| from lm_eval.api import utils |
|
|
|
|
| EXAMPLE_DIVIDER = "!!@@##@@!! -- Example {i}\n" |
|
|
|
|
| def parse_args(): |
| parser = argparse.ArgumentParser() |
| parser.add_argument("--output_base_path", required=True) |
| parser.add_argument("--task_name", type=str, required=True) |
| parser.add_argument("--template_names", default="all_templates") |
| parser.add_argument("--sets", type=str, default="val") |
| parser.add_argument("--num_fewshot", type=int, default=1) |
| parser.add_argument("--num_examples", type=int, default=1) |
| parser.add_argument("--seed", type=int, default=utils.DEFAULT_SEED) |
| return parser.parse_args() |
|
|
|
|
| def main(): |
| args = parse_args() |
| rng = np.random.default_rng(args.seed) |
|
|
| template_names = utils.cli_template_names(args.task_name, args.template_names) |
| tasks = lm_eval.get_task_list(args.task_name, template_names) |
|
|
| os.makedirs(args.output_base_path, exist_ok=True) |
| for task, template_name in zip(tasks, template_names): |
| iters = [] |
| for set in args.sets.split(","): |
| if set == "train" and task.has_training_docs(): |
| docs = task.training_docs() |
| if set == "val" and task.has_validation_docs(): |
| docs = task.validation_docs() |
| if set == "test" and task.has_test_docs(): |
| docs = task.test_docs() |
| iters.append(docs) |
| docs = utils.join_iters(iters) |
|
|
| file_name = lm_eval.tasks._get_task_template_key(args.task_name, template_name) |
| with open(os.path.join(args.output_base_path, file_name), "w") as f: |
| for i, doc in ( |
| zip(range(args.num_examples), docs) |
| if args.num_examples > 0 |
| else enumerate(docs) |
| ): |
| f.write(EXAMPLE_DIVIDER.format(i=i)) |
| ctx, _ = task.fewshot_context( |
| doc=doc, |
| num_fewshot=args.num_fewshot, |
| rng=rng, |
| ) |
| f.write(ctx + "\n") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
