Update README.md

Author: t-rutten

README.md

@@ -1,55 +1,3 @@
-# AxonDatasets
+# Axon Datasets
 
-## Usage
-
-We currently support MNIST, FashionMNIST, and CIFAR10 training datasets.
-
-Download or fetch datasets locally:
-
-```elixir
-{train_images, train_labels} = AxonDatasets.MNIST.download()
-
-# Unpack train_images like...
-{images_binary, tensor_type, shape} = train_images
-```
-
-You can also pass transform functions to `download/1`:
-
-```elixir
-transform_images = fn {binary, type, shape} ->
-  binary
-  |> Nx.from_binary(type)
-  |> Nx.reshape(shape)
-  |> Nx.divide(255)
-  |> Nx.to_batched_list(32)
-end
-
-{train_images, train_labels} =
-  AxonDatasets.MNIST.download(transform_images: transform_images)
-
-# Transform labels as well, e.g. get one-hot encoding
-transform_labels = fn {labels_binary, type, _} ->
-  labels_binary
-  |> Nx.from_binary(type)
-  |> Nx.new_axis(-1)
-  |> Nx.equal(Nx.tensor(Enum.to_list(0..9)))
-  |> Nx.to_batched_list(32)
-end
-
-{images, labels} =
-  AxonDatasets.MNIST.download(
-    transform_images: transform_images,
-    transform_labels: transform_labels
-  )
-
-```
-
-## Installation
-
-```elixir
-def deps do
-  [
-    {:axon_datasets, "~> 0.1.0-dev", github: "t-rutten/axon_datasets", branch: "main", override: true}
-  ]
-end
-```
+Datasets have moved to [Scidata](https://github.com/elixir-nx/scidata)