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build(deps): bump datasets from 2.11.0 to 2.13.1

Open dependabot[bot] opened this issue 1 year ago • 0 comments

Bumps datasets from 2.11.0 to 2.13.1.

Release notes

Sourced from datasets's releases.

2.13.1

General improvements and bug fixes

Full Changelog: https://github.com/huggingface/datasets/compare/2.13.0...2.13.1

2.13.0

Dataset Features

  • Add IterableDataset.from_spark by @​maddiedawson in huggingface/datasets#5770

    • Stream the data from your Spark DataFrame directly to your training pipeline
    from datasets import IterableDataset
    from torch.utils.data import DataLoader
    

    ids = IterableDataset.from_spark(df) ids = ids.map(...).filter(...).with_format("torch") for batch in DataLoader(ids, batch_size=16, num_workers=4): ...

  • IterableDataset formatting for PyTorch, TensorFlow, Jax, NumPy and Arrow:

    from datasets import load_dataset
    

    ids = load_dataset("c4", "en", split="train", streaming=True) ids = ids.map(...).with_format("torch") # to get PyTorch tensors - also works with tf, np, jax etc.

  • Add IterableDataset.from_file to load local dataset as iterable by @​mariusz-jachimowicz-83 in huggingface/datasets#5893

    from datasets import IterableDataset
    

    ids = IterableDataset.from_file("path/to/data.arrow")

  • Arrow dataset builder to be able to load and stream Arrow datasets by @​mariusz-jachimowicz-83 in huggingface/datasets#5944

    from datasets import load_dataset
    

    ds = load_dataset("arrow", data_files={"train": "train.arrow", "test": "test.arrow"})

... (truncated)

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dependabot[bot] avatar Jun 26 '23 13:06 dependabot[bot]