Add 6 samples with OCR metrics

Model: TrOCR-base-handwritten
Accuracy: 66.7%
Avg OCR time: 0.398s/image
Operations: +: 6
Hardware: ZeroGPU-NVIDIA H200 MIG 3g.71gb

README.md

@@ -65,10 +65,10 @@ dataset_info:
     dtype: float64
   splits:
   - name: train
-    num_bytes: 779266.0
-    num_examples: 241
-  download_size: 767963
-  dataset_size: 779266.0
+    num_bytes: 796398.0
+    num_examples: 247
+  download_size: 783615
+  dataset_size: 796398.0
 ---
 
 # CalcTrainer Dataset 🧮

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6ca50b77a9bf7ef37e02409cd7ed4964b19f93af33c6c0d435125faad68230e3
-size 767963
+oid sha256:a9b35d63bc50ea0486c290a940ecbb2ec75397cbac5513634dee9658e2435bc6
+size 783615