README.md

metadata

title: CalcTrainer Annotator
emoji: 📝
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.34.2
app_file: app.py
pinned: false
license: mit
short_description: Annotation tool for CalcTrainer handwriting dataset
dataset_info:
  features:
    - name: question_id
      dtype: string
    - name: handwriting_image
      dtype: image
    - name: math_problem
      dtype: string
    - name: correct_answer
      dtype: int64
    - name: ocr_prediction
      dtype: string
    - name: ocr_parsed_number
      dtype: int64
    - name: is_ocr_likely_correct
      dtype: bool
    - name: human_label
      dtype: string
    - name: was_corrected
      dtype: bool
    - name: annotation_status
      dtype: string
  splits:
    - name: train
      num_bytes: 4183724.125
      num_examples: 1447
  download_size: 4269963
  dataset_size: 4183724.125
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

CalcTrainer Annotator 📝

Annotation tool for validating OCR predictions on handwritten math answers from CalcTrainer

How to Use

1. Review the math problem and handwritten answer
2. Validate or correct the OCR suggestion:
   • ✅ Correct → Validates and moves to next
   • ❌ Incorrect → Type correct number and validate
3. Export annotations anytime to save progress

Features

• Smart filtering: Only shows unannotated entries
• OCR suggestions: Pre-filled predictions with error warnings
• Incremental export: Safely add annotations without data loss
• Progress tracking: Real-time statistics

Data Flow

CalcTrainer → Raw Dataset → Manual Annotation → Validated Dataset

Output

Creates hoololi/CalcTrainer_dataset_annotated with human-validated labels for OCR model fine-tuning.

Private Space - Controlled access for annotation quality.