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Datasets:
Nan-Do
/
leetcode_contests

Tasks:
Text2Text Generation
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
problem solving
leetcode
contests
code
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
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leetcode_contests / README.md
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metadata
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

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).

    (If you are interested in accessing the dataset please contact me here)

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

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:

@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