Add 9 samples with OCR metrics

Model: TrOCR-base-handwritten
Accuracy: 88.9%
Avg OCR time: 0.443s/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: 168928.0
-    num_examples: 51
-  download_size: 177379
-  dataset_size: 168928.0
+    num_bytes: 198220.0
+    num_examples: 60
+  download_size: 204319
+  dataset_size: 198220.0
 ---
 
 # CalcTrainer Dataset 🧮

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f1ec1519e51aad03d97813fe470668b9dbd94a4a653f0c64d26ad88dbd954710
-size 177379
+oid sha256:d4b9935ab3ccb57cb55484d753029d1031b167b9624ace0aea60b0423fc07226
+size 204319