Add 9 samples with OCR metrics

Model: TrOCR-base-handwritten
Accuracy: 66.7%
Avg OCR time: 0.426s/image
Operations: +: 9
Hardware: ZeroGPU-NVIDIA H200 MIG 3g.71gb

README.md

@@ -65,10 +65,10 @@ dataset_info:
     dtype: float64
   splits:
   - name: train
-    num_bytes: 796398.0
-    num_examples: 247
-  download_size: 783615
-  dataset_size: 796398.0
+    num_bytes: 823727.0
+    num_examples: 256
+  download_size: 808544
+  dataset_size: 823727.0
 ---
 
 # CalcTrainer Dataset 🧮

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a9b35d63bc50ea0486c290a940ecbb2ec75397cbac5513634dee9658e2435bc6
-size 783615
+oid sha256:5f10ed7afea85ec40d350569040a888ff229d1fc42a8d1c909c5e81ae1baf3ef
+size 808544