README.md

---
dataset_info:
  features:
  - name: question_id
    dtype: int64
  - name: description
    dtype: string
  - name: code
    dtype: string
  - name: lang
    dtype: string
  - name: difficulty
    dtype: string
  splits:
  - name: train
    num_bytes: 332515333
    num_examples: 144359
  download_size: 55842172
  dataset_size: 332515333
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: apache-2.0
task_categories:
- text2text-generation
- text-generation
language:
- en
tags:
- problem solving
- leetcode
- contests
- code
pretty_name: Leetcode's Contests
size_categories:
- 100K<n<1M
---
---
# Dataset Card for "leetcode_contests"

## Dataset Description

- **Homepage:** None
- **Repository:** https://huggingface.co/datasets/Nan-Do/leetcode_contests
- **Paper:** None
- **Leaderboard:** None
- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do)

### Dataset Summary

- The purpose of this dataset is to **provide a robust problem-solving foundation** for Large Language Models (LLMs).  
- The dataset comprises **top accepted solutions** to **Leetcode's contests**.
- For each contest problem and language, up to **15 submissions** are chosen to be included in the dataset.  
- The dataset has been **meticulously cleaned** to ensure **consistent formatting**, accuracy of the numerical
  values included and the **uniqueness of the solutions**.
- Each submission is guaranteed to be both **valid** and **unique**.  
- In total, there are **2006 unique problems** and **144,359 unique submissions** across **17 different programming languages**.  
- **All contests** up to weekly contest 389 (March 17, 2024).

  (**The dataset is not accessible to the public anymore, please do not contact me regarding its access.**)

### Languages

The problem descriptions are in English.  
Here is a summary of the languages used for the submissions:  
Programming Language | Total  
:-----|:-----
cpp | 30755  
java | 30651    
python3 | 27858  
python2 | 22903  
javascript | 9025  
golang | 7566  
csharp | 7458  
kotlin | 2632  
rust | 1687  
ruby | 846  
scala | 784  
c | 759  
typescript | 641  
swift | 525  
php | 189  
dart | 49  
racket | 31  

### Data Splits

There are no splits (Only training).

## Dataset Creation

Mar of 2024

### Curation Rationale

This dataset was created to improve the **problem-solving** capabilities of LLMs.

### Source Data

The source of the dataset is [Leetcode's contests](https://leetcode.com/contest/)

### Annotations

The dataset includes the following columns: **question_id, title, contest, number, description, code, lang, credit, and difficulty**.

- The **question_id** column indicates the ID of the question within this dataset.
- The **title** column contains the name of the problem.
- The **contest** column contains the contest in which the problem appeared.
- The **number** column indicates the number of the problem in the contest.
- The **description** column contains the markdown explanation for the problem.
- The **code** column contains the code that solves the question.
- The **lang** column indicates the language in which the solution is written.
- The **credit** column indicates the number of points given to the problem.
- The **difficulty** column indicates the difficulty level of the question (easy, medium, or hard).

### Licensing Information

Apache 2.0

## Citation

If you get access to the dataset find the dataset useful in your work, please consider citing it as:

```bibtex
@misc{tarin2024leetcode,
     title={Leetcode Contests},
     author={Fernando Tarin Morales},
     year={2024},
     publisher = {Hugging Face},
     journal = {Hugging Face repository},
     howpublished = {\url{https://huggingface.co/datasets/Nan-Do/leetcode_contests}}
}
```

Also if you like my work and you have any suggestion, comment or proposal, please contact me [here](mailto:[email protected])