datasets 4.4.0

on Python PyPI

Dataset Features

• Add nifti support by @CloseChoice in #7815

  • Load medical imaging datasets from Hugging Face:

  ds = load_dataset("username/my_nifti_dataset")
  ds["train"][0]  # {"nifti": <nibabel.nifti1.Nifti1Image>}

  • Load medical imaging datasets from your disk:

  files = ["/path/to/scan_001.nii.gz", "/path/to/scan_002.nii.gz"]
  ds = Dataset.from_dict({"nifti": files}).cast_column("nifti", Nifti())
  ds["train"][0]  # {"nifti": <nibabel.nifti1.Nifti1Image>}

• Add num channels to audio by @CloseChoice in #7840

# samples have shape (num_channels, num_samples)
ds = ds.cast_column("audio", Audio())  # default, use all channels
ds = ds.cast_column("audio", Audio(num_channels=2))  # use stereo
ds = ds.cast_column("audio", Audio(num_channels=1))  # use mono

• Python 3.14 support by @lhoestq in #7836

What's Changed

• Fix random seed on shuffle and interleave_datasets by @CloseChoice in #7823
• fix ci compressionfs by @lhoestq in #7830
• fix: better args passthrough for _batch_setitems() by @sghng in #7817
• Fix: Properly render [!TIP] block in stream.shuffle documentation by @art-test-stack in #7833
• resolves the ValueError: Unable to avoid copy while creating an array by @ArjunJagdale in #7831
• fix column with transform by @lhoestq in #7843
• support fsspec 2025.10.0 by @lhoestq in #7844

New Contributors

• @sghng made their first contribution in #7817
• @art-test-stack made their first contribution in #7833

Full Changelog: 4.3.0...4.4.0