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README.md

@@ -47,28 +47,13 @@ Merged from 3 public datasets:
 - `image` column: PNG-encoded 28×28 grayscale (struct with `bytes` + `path` fields)
 - `label` column: int32, digits 0–9
 
-Also available as raw PyTorch tensors:
-- `X_train.pt.gz`, `y_train.pt.gz`, `X_val.pt.gz`, `y_val.pt.gz` — gzip-compressed float32 tensors
-
 ## Loading
 
-### Via `datasets` (recommended)
-
 ```python
 from datasets import load_dataset
 ds = load_dataset("leobottaro/handwritten-digits-pack")
 ```
 
-### Via raw tensors
-
-```python
-import gzip, torch
-
-X_train = torch.load("X_train.pt.gz", weights_only=True)
-y_train = torch.load("y_train.pt.gz", weights_only=True)
-X_val   = torch.load("X_val.pt.gz", weights_only=True)
-y_val   = torch.load("y_val.pt.gz", weights_only=True)
-```
 
 ## Preprocessing Applied
 

X_train.pt.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c160902674ca9e7f61948096d6309656ad038fd173258b3285c07d2a517a26b6
-size 207701231

X_val.pt.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6b44ec6175e419a343d87243671c9cce7296a4f0cc049b6684c850de067492d2
-size 11062461

y_train.pt.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c43e11fd1e8d2beb0d4cc60d59a43ddab511d76cc92a328a64fcb9675d8b569b
-size 341245

y_val.pt.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9f1328542fd01e01e8a2562ff91a55dcea1b0f49ceb824de1d310a53e33edf9c
-size 1304