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--- |
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language: |
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- en |
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pretty_name: Project Euler Problems |
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tags: |
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- code |
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size_categories: |
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- n<1k |
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--- |
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# Project Euler Problems Dataset |
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A comprehensive collection of mathematical and programming challenges from Project Euler (projecteuler.net), organized for machine learning and educational purposes. |
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## Dataset Description |
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This dataset contains 918 problems from Project Euler, a series of challenging mathematical/computer programming problems that require creative problem-solving approaches. |
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### Features |
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- **id**: Problem number (integer) |
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- **title**: Problem title |
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- **problem**: Plain text version of the problem statement |
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- **question_latex**: LaTeX formatted problem statement |
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- **question_html**: HTML formatted problem statement |
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- **numerical_answer**: The correct numerical answer |
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- **pub_date**: Publication date |
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- **solved_by**: Number of people who have solved the problem |
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- **diff_rate**: Difficulty rating (percentage of users who solved it) |
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## Splits |
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The dataset provides several splits for different use cases: |
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- **train/test**: Standard 80/10/10 split for machine learning |
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- train: 734 problems |
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- test: 184 problems |
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- **easy/medium/hard**: Problems grouped by difficulty level |
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- easy: 277 problems (>25% solve rate) |
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- medium: 336 problems (5-25% solve rate) |
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- hard: 305 problems (≤5% solve rate) |
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- **early_problems/later_problems**: First half vs. second half of problems by ID |
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- early_problems: 464 problems |
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- later_problems: 454 problems |
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- **sample**: A random selection of 50 problems for quick experimentation |
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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 entire dataset with all splits |
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dataset = load_dataset("alexandonian/project-euler") |
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# Work with specific splits |
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train_problems = dataset["train"] |
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hard_problems = dataset["hard"] |
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sample_problems = dataset["sample"] |
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# Example: Get a problem |
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problem = train_problems[0] |
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print(f"Problem #{problem["id"]}: {problem["title"]}") |
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print(problem["problem"]) |
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print(f"Answer: {problem["numerical_answer"]}") |
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``` |
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## Potential Applications |
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- Training math problem-solving models |
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- Generating solutions or solution approaches |
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- Testing reasoning capabilities of language models |
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- Educational tools for learning algorithmic thinking |
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## Citation & License |
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This dataset is provided for research and educational purposes. |
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Project Euler problems are from projecteuler.net. |
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