TFDS now supports the Croissant 🥐 format! Read the documentation to know more.

tfds.as_dataframe

Convert the dataset into a pandas dataframe.

tfds.as_dataframe(
    ds: tf.data.Dataset, ds_info: Optional[dataset_info.DatasetInfo] = None
) -> pd.DataFrame

Used in the tutorials
Custom training: walkthrough TensorFlow Datasets Linear Mixed-Effect Regression in {TF Probability, R, Stan} Fitting Generalized Linear Mixed-effects Models Using Variational Inference Multilevel Modeling Primer in TensorFlow Probability

df = tfds.as_dataframe(ds.take(10), ds_info)

Args
`ds`	`tf.data.Dataset`. The tf.data.Dataset object to convert to panda dataframe. Examples should not be batched. The full dataset will be loaded.
`ds_info`	Dataset info object. If given, helps improving the formatting. Available either through `tfds.load('mnist', with_info=True)` or `tfds.builder('mnist').info`

Returns
`dataframe`	The `pandas.DataFrame` object

Args