Datasets:
Add comprehensive README with dataset info
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README.md
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# EGE Math Solutions Assessment Benchmark
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## Dataset Description
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This dataset contains student solutions to Russian Unified State Exam (EGE) mathematics problems, with reference scores for benchmarking automated evaluation systems.
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**🖼️ All images are properly embedded and accessible!**
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The dataset includes three types of images for each solution:
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- **Student solutions with correct answers shown** (152 images)
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- **Student solutions without answers** for blind evaluation (152 images)
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- **True/reference solutions** for each problem (144 images)
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## Dataset Statistics
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- **Total examples**: 122
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- **Total images**: 448
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- **Task types**: 7
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- **Score range**: 0-4 points
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### Task Types
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| Task Type | Count |
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|-----------|-------|
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| Financial mathematics | 15 |
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| Logarithmic inequalities | 19 |
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| Number theory problem | 16 |
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| Planimetric problem | 17 |
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| Problem with parameters | 16 |
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| Stereometric problem | 18 |
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| Trigonometric equations | 21 |
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### Score Distribution
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| Score | Count | Percentage |
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|-------|-------|------------|
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| 0 | 28 | 23.0% |
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| 1 | 40 | 32.8% |
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| 2 | 35 | 28.7% |
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| 3 | 11 | 9.0% |
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| 4 | 8 | 6.6% |
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## Dataset Structure
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Each example contains:
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- `solution_id`: Unique identifier for the solution
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- `task_id`: Task type ID (13-19)
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- `example_id`: Specific example identifier
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- `task_type`: Description of the task type in English
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- `score`: Reference score (0-4)
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- `parts_count`: Number of parts in the solution
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- `images_with_answer`: List of PIL Images containing student solution with correct answer
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- `images_without_answer`: List of PIL Images containing only student solution
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- `images_with_true_solution`: List of PIL Images containing task with true solution
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## Usage
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset('Karifannaa/EGE_Math_Solutions_Assessment_Benchmark')
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# Access an example
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example = dataset['train'][0]
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print(f"Solution ID: {example['solution_id']}")
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print(f"Task Type: {example['task_type']}")
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print(f"Score: {example['score']}")
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# View images (all images are PIL Image objects)
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print(f"Images with answer: {len(example['images_with_answer'])}")
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print(f"Images without answer: {len(example['images_without_answer'])}")
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print(f"Images with true solution: {len(example['images_with_true_solution'])}")
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# Display an image
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if example['images_with_answer']:
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img = example['images_with_answer'][0]
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img.show() # This will work - images are properly embedded!
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```
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## Image Access
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All images are stored as PIL Image objects and can be directly accessed:
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```python
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# Get first example
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example = dataset['train'][0]
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# Access different types of images
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student_solution_with_answer = example['images_with_answer'][0]
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student_solution_without_answer = example['images_without_answer'][0]
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true_solution = example['images_with_true_solution'][0]
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# Images are PIL Image objects with standard methods
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print(f"Image size: {student_solution_with_answer.size}")
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print(f"Image mode: {student_solution_with_answer.mode}")
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# Save image
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student_solution_with_answer.save("solution.png")
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```
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## License
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This dataset is provided for research and educational purposes.
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## Citation
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If you use this dataset in your research, please cite:
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```bibtex
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@dataset{ege_math_solutions_2024,
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title={EGE Math Solutions Assessment Benchmark},
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year={2024},
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publisher={Hugging Face},
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url={https://huggingface.co/datasets/Karifannaa/EGE_Math_Solutions_Assessment_Benchmark}
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}
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```
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