datasets.DatasetFolder
时间: 2023-12-27 11:04:00 浏览: 24
`datasets.DatasetFolder` is a class from the Hugging Face `datasets` library that provides an easy way to load a dataset from a folder containing text or binary files. It allows users to specify the file format, as well as any additional metadata associated with the files. This class is useful for loading datasets that are not in a standard format, such as image or audio datasets.
`datasets.DatasetFolder` inherits from the `datasets.Dataset` class, which provides a set of standard methods for interacting with datasets, including splitting into train/test/val sets, filtering examples, and shuffling.
Example usage:
```python
from datasets import DatasetFolder
# create a DatasetFolder object pointing to a folder of text files
dataset = DatasetFolder("path/to/dataset/folder", data_files={"train": "*.txt", "test": "*.txt"})
# load the dataset
dataset = dataset.load()
# access the data
print(dataset["train"][0])
```