Add 10 samples with OCR metrics

Model: TrOCR-base-handwritten
Accuracy: 90.0%
Avg OCR time: 0.387s/image
Operations: ×: 10
Hardware: ZeroGPU-NVIDIA H200 MIG 3g.71gb

README.md

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+---
+dataset_info:
+  features:
+  - name: session_id
+    dtype: string
+  - name: question_id
+    dtype: string
+  - name: timestamp
+    dtype: string
+  - name: operand_a
+    dtype: int64
+  - name: operand_b
+    dtype: int64
+  - name: operation
+    dtype: string
+  - name: correct_answer
+    dtype: int64
+  - name: difficulty
+    dtype: string
+  - name: ocr_prediction
+    dtype: string
+  - name: ocr_parsed_number
+    dtype: int64
+  - name: is_correct
+    dtype: bool
+  - name: ocr_model_name
+    dtype: string
+  - name: ocr_processing_time
+    dtype: float64
+  - name: ocr_confidence
+    dtype: float64
+  - name: session_duration
+    dtype: int64
+  - name: session_total_questions
+    dtype: int64
+  - name: app_version
+    dtype: string
+  - name: hardware
+    dtype: string
+  - name: handwriting_image
+    dtype: image
+  - name: session_accuracy
+    dtype: float64
+  - name: session_total_ocr_time
+    dtype: float64
+  - name: session_avg_ocr_time
+    dtype: float64
+  splits:
+  - name: train
+    num_bytes: 31076.0
+    num_examples: 10
+  download_size: 49666
+  dataset_size: 31076.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5f971bd7348bbf6b763dae7e3eae07b08dce2a3337f4ccb45503086787e6ef32
+size 49666