Upload README.md

README.md

@@ -1,59 +1,75 @@
----
-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-*
----
+---
+license: mit
+task_categories:
+- image-to-text
+- optical-character-recognition
+language:
+- en
+tags:
+- handwritten-digits
+- math-education
+- ocr
+size_categories:
+- n<1K
+---
+
+# CalcTrainer Dataset 🧮
+
+Handwritten mathematical answers collected from the [CalcTrainer](https://huggingface.co/spaces/hoololi/CalcTrainer) interactive math training application.
+
+## Dataset Fields
+
+### Core Data
+| Field | Type | Description |
+|-------|------|-------------|
+| `handwriting_image` | Image | Handwritten answer image (~100x100px) |
+| `ocr_prediction` | string | Raw OCR output text |
+| `ocr_parsed_number` | int32 | Cleaned numeric value from OCR |
+| `is_correct` | bool | Whether OCR matches correct answer |
+
+### Mathematical Context
+| Field | Type | Description |
+|-------|------|-------------|
+| `operand_a` | int32 | First number (e.g., 7 in "7 × 3") |
+| `operand_b` | int32 | Second number (e.g., 3 in "7 × 3") |
+| `operation` | string | Operation: `+`, `-`, `×`, `÷` |
+| `correct_answer` | int32 | Expected correct answer |
+| `difficulty` | string | `Facile` (Easy) or `Difficile` (Hard) |
+
+### OCR Metrics
+| Field | Type | Description |
+|-------|------|-------------|
+| `ocr_model_name` | string | OCR model used (e.g., "microsoft/trocr-base-handwritten") |
+| `ocr_processing_time` | float32 | Processing time in seconds |
+| `hardware` | string | Hardware used for OCR |
+
+### Session Info
+| Field | Type | Description |
+|-------|------|-------------|
+| `session_id` | string | Unique session identifier |
+| `question_id` | string | Unique question identifier |
+| `timestamp` | string | When the session was completed |
+| `session_duration` | int32 | Session length (30 or 60 seconds) |
+| `session_accuracy` | float32 | Overall session accuracy percentage |
+| `session_avg_ocr_time` | float32 | Average OCR time per image in session |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("hoololi/CalcTrainer_dataset")
+train_data = dataset["train"]
+
+# Example: Access first item
+item = train_data[0]
+print(f"Math problem: {item['operand_a']} {item['operation']} {item['operand_b']} = {item['correct_answer']}")
+print(f"OCR predicted: '{item['ocr_prediction']}' → {item['ocr_parsed_number']}")
+print(f"Correct: {item['is_correct']}")
+```
+
+## Data Source
+
+Real handwriting samples from users solving math problems in the CalcTrainer application. Users write answers on a digital canvas during timed math sessions.
+
+**Generated from**: [CalcTrainer Interactive Math Training](https://huggingface.co/spaces/hoololi/CalcTrainer) 🧮