Attention

June 2024 Status Update: Removing DataPipes and DataLoader V2

We are re-focusing the torchdata repo to be an iterative enhancement of torch.utils.data.DataLoader. We do not plan on continuing development or maintaining the [DataPipes] and [DataLoaderV2] solutions, and they will be removed from the torchdata repo. We’ll also be revisiting the DataPipes references in pytorch/pytorch. In release torchdata==0.8.0 (July 2024) they will be marked as deprecated, and in 0.9.0 (Oct 2024) they will be deleted. Existing users are advised to pin to torchdata==0.8.0 or an older version until they are able to migrate away. Subsequent releases will not include DataPipes or DataLoaderV2. Please reach out if you suggestions or comments (please use this issue for feedback)

HuggingFaceHubReader

class torchdata.datapipes.iter.HuggingFaceHubReader(dataset: str, **config_kwargs)

Takes in dataset names and returns an Iterable HuggingFace dataset. Please refer to https://huggingface.co/docs/datasets/loading for the meaning and type of each argument. Contrary to their implementation, default behavior differs in the following:

• streaming is set to True

Parameters:

• dataset – path or name of the dataset

• **config_kwargs – additional arguments for datasets.load_dataset()

Example:

huggingface_reader_dp = HuggingFaceHubReader("lhoestq/demo1", revision="main")
elem = next(iter(huggingface_reader_dp))
assert elem["package_name"] == "com.mantz_it.rfanalyzer"