leetcode
Datasets
All datasets matching “leetcode”LeetCodeDataset
LeetCodeDataset
LeetCodeDataset is a dataset consists of Python leetcode problems that can be used for LLM training and evaluation.
💻 GitHub
📄 LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs
📄 Policy Filtration for RLHF to Mitigate Noise in Reward Models
leetcode-problem-solutions
LeetCode Solution Dataset
This dataset contains community-contributed LeetCode solutions scraped from public discussions and solution pages, enriched with metadata such as vote counts, author info, tags, and full code content. The goal is to make high-quality, peer-reviewed coding solutions programmatically accessible for research, analysis, educational use, or developer tooling.
Column Descriptions
Column Name
Type
Description
question_slug
string
The unique… See the full description on the dataset page: https://huggingface.co/datasets/kaysss/leetcode-problem-solutions.leetcodedeepseek-leetcodeDeepseek Leetcode dataset from https://github.com/deepseek-ai/DeepSeek-Coder/tree/main/Evaluation/LeetCode
leetcode-problem-set
LeetCode Scraper Dataset
This dataset contains information scraped from LeetCode. It is designed to assist developers in analyzing LeetCode problems, generating insights, and building tools for competitive programming or educational purposes.
Dataset Contents
The dataset includes the following files:
problem_set.csv
Contains a list of LeetCode problems with metadata such as difficulty, acceptance rate, tags, and more.
Columns:
acRate: Acceptance rate of the… See the full description on the dataset page: https://huggingface.co/datasets/kaysss/leetcode-problem-set.tw-leetcode
Dataset Card for tw-leetcode
A curated Traditional Chinese LeetCode solution dataset with high-efficiency answers (Beats 100%), structured explanation in "Top Concept → Step Implement → Complexity Analysis" style, updated daily.
Dataset Details
Dataset Description
tw-leetcode 是一個針對 LeetCode 題目的繁體中文資料集，內容包含高效能程式解法、完整的解題思路，以及時間與空間複雜度分析。每份題解都經由人工清洗與優化，並依循「Top Concept → Step Implement → Complexity Explanation」的結構撰寫，方便機器學習模型或人類讀者理解程式邏輯的推理過程。
本資料集適合作為：… See the full description on the dataset page: https://huggingface.co/datasets/twinkle-ai/tw-leetcode.