Download reference/code/DMax/dFactory/tasks/dataset/dataset.py from Ouzhang/hku_diffusion_dllm: direct link, hf CLI and curl.
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860 Bytes
| from functools import partial | |
| from typing import Optional, Callable, Literal | |
| from datasets import load_from_disk | |
| from datasets.distributed import split_dataset_by_node | |
| from pathlib import Path | |
| from veomni.utils.dist_utils import main_process_first | |
| from veomni.distributed.parallel_state import get_parallel_state | |
| from veomni.data.dataset import IterativeDataset, MappingDataset | |
| def build_local_dataset( | |
| data_path: str, | |
| transform: Optional[Callable] = None, | |
| namespace: Literal["train", "test"] = "train", | |
| seed: int = 42, | |
| source_name: Optional[str] = None, | |
| ): | |
| parallel_state = get_parallel_state() | |
| dataset = load_from_disk(Path(data_path) / namespace) | |
| dataset = dataset.shuffle(seed=seed) | |
| if transform: | |
| transform = partial(transform, source_name=source_name) | |
| return MappingDataset(dataset, transform=transform) | |