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README.md

@@ -36,3 +36,40 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+# tsilva/mnist
+
+## Dataset Summary
+
+This dataset is a Hugging Face packaged version of the classic MNIST handwritten digits benchmark. It contains grayscale 28x28 images of digits `0` through `9`, split into the standard `train` and `test` partitions.
+
+Each row includes:
+
+- `image`: a 28x28 grayscale digit image
+- `label`: the digit class from `0` to `9`
+- `source_index`: the original position of the example inside the source MNIST split
+
+## Splits
+
+- `train`: 60,000 examples
+- `test`: 10,000 examples
+
+## Source
+
+The underlying data comes from the original MNIST release maintained by Yann LeCun and collaborators and downloaded here through `torchvision.datasets.MNIST`.
+
+- MNIST homepage: http://yann.lecun.com/exdb/mnist/
+- TorchVision dataset docs: https://pytorch.org/vision/stable/generated/torchvision.datasets.MNIST.html
+
+## Intended Use
+
+This dataset is suitable for standard handwritten digit classification baselines, representation learning experiments, and as a clean reference set for synthetic corruption studies.
+
+## Load Example
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("tsilva/mnist")
+print(ds["train"][0])
+```