mirror of
https://github.com/SikongJueluo/Mini-Nav.git
synced 2026-03-12 20:35:31 +08:00
67 lines
1.9 KiB
Python
67 lines
1.9 KiB
Python
"""HuggingFace dataset loader for benchmark evaluation."""
|
|
|
|
from typing import Any
|
|
|
|
from datasets import load_dataset
|
|
|
|
from ..base import BaseDataset
|
|
|
|
|
|
class HuggingFaceDataset(BaseDataset):
|
|
"""Dataset loader for HuggingFace datasets."""
|
|
|
|
def __init__(
|
|
self,
|
|
hf_id: str,
|
|
img_column: str = "img",
|
|
label_column: str = "label",
|
|
):
|
|
"""Initialize HuggingFace dataset loader.
|
|
|
|
Args:
|
|
hf_id: HuggingFace dataset ID.
|
|
img_column: Name of the image column.
|
|
label_column: Name of the label column.
|
|
"""
|
|
self.hf_id = hf_id
|
|
self.img_column = img_column
|
|
self.label_column = label_column
|
|
self._train_dataset: Any = None
|
|
self._test_dataset: Any = None
|
|
|
|
def _load(self) -> tuple[Any, Any]:
|
|
"""Load dataset from HuggingFace.
|
|
|
|
Returns:
|
|
Tuple of (train_dataset, test_dataset).
|
|
"""
|
|
if self._train_dataset is None:
|
|
dataset = load_dataset(self.hf_id)
|
|
# Handle datasets that use 'train' and 'test' splits
|
|
if "train" in dataset:
|
|
self._train_dataset = dataset["train"]
|
|
if "test" in dataset:
|
|
self._test_dataset = dataset["test"]
|
|
# Handle datasets that use 'train' and 'validation' splits
|
|
elif "validation" in dataset:
|
|
self._test_dataset = dataset["validation"]
|
|
return self._train_dataset, self._test_dataset
|
|
|
|
def get_train_split(self) -> Any:
|
|
"""Get training split of the dataset.
|
|
|
|
Returns:
|
|
Training dataset.
|
|
"""
|
|
train, _ = self._load()
|
|
return train
|
|
|
|
def get_test_split(self) -> Any:
|
|
"""Get test/evaluation split of the dataset.
|
|
|
|
Returns:
|
|
Test dataset.
|
|
"""
|
|
_, test = self._load()
|
|
return test
|