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Dataset Card for "leetcode_contests"

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).

  A previous and smaller version of this dataset can be found here
  (If you are interested in a bigger version of this dataset please contact me)

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, description, code, lang, and difficulty.

• The question_id column indicates the ID of the question within this dataset.
• 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 difficulty column indicates the difficulty level of the question (easy, medium, or hard).

Licensing Information

Apache 2.0