Add 9 samples with OCR metrics

Model: TrOCR-base-handwritten
Accuracy: 77.8%
Avg OCR time: 0.430s/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: 337406.0
-    num_examples: 102
-  download_size: 349636
-  dataset_size: 337406.0
+    num_bytes: 365699.0
+    num_examples: 111
+  download_size: 374208
+  dataset_size: 365699.0
 ---
 
 # CalcTrainer Dataset 🧮

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a9fb9f0298c717b9a5c193aca21a76f81dfca4b62c4399cd77ad54ceae21051e
-size 349636
+oid sha256:c9302291bdc73383e56b8fe1c8a377c1526bf58298707557266cd2856788e2de
+size 374208