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Hugging Face datasets accept None values for any features. TFDS has no tfds.features.Optional, so None values are converted to default values.
Those default values used to be 0 and 0.0 for int and float. Now, it's -inf as defined by NumPy (e.g., np.iinfo(np.int32).min or np.finfo(np.float32).min). This avoids ambiguous values when 0 and 0.0
exist in the values of the dataset. The roadmap is to implement tfds.features.Optional.
Deprecated
Python 3.8 support. As per NEP 29, TFDS now
uses Python>=3.9.