---
license: cc-by-sa-4.0
---

# Doocs LeetCode Solutions

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A comprehensive dataset of LeetCode problems and solutions created from the [Doocs LeetCode](https://github.com/doocs/leetcode) repository. This dataset is designed for fine-tuning large language models to understand programming problems and generate code solutions.

## Dataset Description

- **Repository:** [Doocs LeetCode Solutions](https://github.com/doocs/leetcode)
- **Total Problems:** 2000+
- **Total Solutions:** 10,000+ (across multiple languages)
- **Size:** ~60 MB (Parquet format)
- **Last Updated:** 29 July 2025

## Dataset Structure

### Data Fields

| Field         | Type       | Description                                | Example                          |
|---------------|------------|--------------------------------------------|----------------------------------|
| `id`          | `string`   | Problem ID                                 | "0001"                           |
| `title`       | `string`   | Problem title (slugified)                  | "two-sum"                        |
| `difficulty`  | `string`   | Problem difficulty level                   | "Easy", "Medium", "Hard"         |
| `description` | `string`   | Problem description in Markdown            | "Given an array of integers..."  |
| `tags`        | `string`   | Problem category tags                      | "Array; Hash Table"              |
| `language`    | `string`   | Programming language of solution           | "Python", "Java", "C++"          |
| `solution`    | `string`   | Complete solution code                     | "class Solution:\n    def..."    |

### Data Splits

The dataset contains a single comprehensive split containing all problems and solutions:

| Split   | Problems | Solutions |
|---------|----------|-----------|
| `train` | 2500+    | 15,000+   |

## How to Use

### Using Hugging Face `datasets` Library

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("olegshulyakov/doocs-leetcode-solutions")

# Access a sample
sample = dataset['train'][0]
print(f"Problem {sample['id']}: {sample['title']}")
print(f"Difficulty: {sample['difficulty']}")
print(f"Tags: {sample['tags']}")
print(f"Language: {sample['language']}")
print(f"Solution:\n{sample['solution']}")
```

## Dataset Creation

### Source Data
- Collected from [Doocs LeetCode](https://github.com/doocs/leetcode) repository
- Solutions cover 14+ programming languages
- Includes problems from LeetCode's entire problem set

### Preprocessing
1. Repository cloned and processed using our [dataset generator tool](https://github.com/olegshulyakov/leetcode-dataset-generator).
2. Metadata extracted from README_EN.md files.
3. Solution files parsed and mapped to programming languages.
4. Special characters and encoding issues resolved.

## Intended Use

### Primary Use
- Fine-tuning code generation models
- Training programming problem-solving AI
- Educational purposes for learning algorithms

### Possible Uses
- Benchmarking code generation models
- Studying programming patterns across languages
- Analyzing problem difficulty characteristics
- Creating programming tutorials and examples

### Limitations
- Solutions may not be optimal (community solutions)
- Some edge cases might not be covered
- Problem descriptions may contain markdown/html formatting
- Limited to problems available in the Doocs repository

## License
This dataset is licensed under the **CC-BY-SA-4.0 License** - see [LICENSE](LICENSE) file for details.

## Copyright
The copyright of this project belongs to [Doocs](https://github.com/doocs) community.

## Contact
For questions or issues regarding the dataset, please open an issue on [GitHub](https://github.com/olegshulyakov/leetcode-dataset-generator/issues).