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2.31 kB
| # Copyright 2024 Bytedance Ltd. and/or its affiliates | |
| """ | |
| Preprocess the llamafactory/pokemon-gpt4o-captions dataset to parquet format | |
| """ | |
| import argparse | |
| import os | |
| import datasets | |
| from verl.utils.hdfs_io import copy, makedirs | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--local_dir", default=None) | |
| parser.add_argument("--hdfs_dir", default=None) | |
| parser.add_argument("--local_dataset_path", default=None, help="The local path to the raw dataset, if it exists.") | |
| parser.add_argument( | |
| "--local_save_dir", | |
| default="~/data/pokemon-gpt4o-captions", | |
| help="The save directory for the preprocessed dataset.", | |
| ) | |
| args = parser.parse_args() | |
| local_dataset_path = args.local_dataset_path | |
| data_source = "llamafactory/pokemon-gpt4o-captions" | |
| if local_dataset_path is not None: | |
| dataset = datasets.load_dataset( | |
| local_dataset_path, | |
| ) | |
| else: | |
| dataset = datasets.load_dataset( | |
| data_source, | |
| ) | |
| def map_fn(row: dict): | |
| messages = [] | |
| conversation = row.pop("conversations") | |
| for conv in conversation: | |
| if conv["from"] == "gpt": | |
| role = "assistant" | |
| elif conv["from"] == "human": | |
| role = "user" | |
| else: | |
| raise ValueError(f"Unknown role: {conv['from']}") | |
| messages.append( | |
| { | |
| "role": role, | |
| "content": conv["value"], | |
| } | |
| ) | |
| row["messages"] = messages | |
| return row | |
| dataset = dataset["train"].map(map_fn, num_proc=16) | |
| dataset = dataset.train_test_split(test_size=0.1) | |
| train_dataset = dataset["train"] | |
| test_dataset = dataset["test"] | |
| hdfs_dir = args.hdfs_dir | |
| local_save_dir = args.local_dir | |
| if local_save_dir is not None: | |
| print("Warning: Argument 'local_dir' is deprecated. Please use 'local_save_dir' instead.") | |
| else: | |
| local_save_dir = args.local_save_dir | |
| train_dataset.to_parquet(os.path.join(local_save_dir, "train.parquet")) | |
| test_dataset.to_parquet(os.path.join(local_save_dir, "test.parquet")) | |
| if hdfs_dir is not None: | |
| makedirs(hdfs_dir) | |
| copy(src=local_save_dir, dst=hdfs_dir) | |