Add 7 samples with OCR metrics

Model: TrOCR-base-handwritten
Accuracy: 57.1%
Avg OCR time: 0.722s/image
Operations: +: 7
Hardware: ZeroGPU-NVIDIA H200 MIG 3g.71gb

README.md

@@ -65,10 +65,10 @@ dataset_info:
     dtype: float64
   splits:
   - name: train
-    num_bytes: 757319.0
-    num_examples: 234
-  download_size: 747717
-  dataset_size: 757319.0
+    num_bytes: 779266.0
+    num_examples: 241
+  download_size: 767963
+  dataset_size: 779266.0
 ---
 
 # CalcTrainer Dataset 🧮

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:65e2cd6c3d76ddd4e5fee8d9a43c4e78d3511e2f7ff4c5920b1b3d9a4f434ae0
-size 747717
+oid sha256:6ca50b77a9bf7ef37e02409cd7ed4964b19f93af33c6c0d435125faad68230e3
+size 767963