Add 9 samples with OCR metrics

Model: TrOCR-base-handwritten
Accuracy: 88.9%
Avg OCR time: 0.311s/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: 1119315.0
-    num_examples: 354
-  download_size: 1094066
-  dataset_size: 1119315.0
+    num_bytes: 1142578.0
+    num_examples: 363
+  download_size: 1114607
+  dataset_size: 1142578.0
 ---
 
 # CalcTrainer Dataset 🧮

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b0729456deb2ff481d2697dffa49c4ccc32cbfdac0effb45e19715b4122fcda
-size 1094066
+oid sha256:c57ffda89d9ece02611f0c1a8bc9f191e77a793343cf7debf475b8dbc801d7dc
+size 1114607