datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.leetcode_pythonleetcode-problem-detailed
LeetCode Scraper Dataset
This dataset contains information scraped from LeetCode, including problem details, metadata, and related files. It is designed to assist developers in analyzing LeetCode problems, generating insights, and building tools for competitive programming or educational purposes.
questions_deets.csv
Contains detailed information about each problem, including problem descriptions, constraints, and examples.
Columns:
questionFrontendId: Unique problem ID.… See the full description on the dataset page: https://huggingface.co/datasets/kaysss/leetcode-problem-detailed.LeetCodeProblemdoocs-leetcode-solutions
Doocs LeetCode Solutions
A comprehensive dataset of LeetCode problems and solutions created from the Doocs LeetCode repository. This dataset is designed for fine-tuning large language models to understand programming problems and generate code solutions.
Description
Repository: Doocs LeetCode Solutions
Total Problems: 3500+
Total Solutions: 15,000+ (across multiple languages)
Size: ~60 MB (Parquet format)
Languages:
C
Cangjie
C++
C#
Dart
Go
Java
JavaScript
Kotlin
Nim
PHP… See the full description on the dataset page: https://huggingface.co/datasets/olegshulyakov/doocs-leetcode-solutions.qrpo-paper-llama-nosft-leetcode-sandbox-temp1-ref50-offpolicy10random-sandbox
qrpo-paper-llama-nosft-leetcode-sandbox-temp1-ref50-offpolicy10random-sandbox
Dataset with reference completions and rewards for a specific model and reward model, ready for training with the QRPO reference codebase (https://github.com/CLAIRE-Labo/quantile-reward-policy-optimization).
Part of the dataset collection for the paper Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions (https://arxiv.org/pdf/2507.08068).
tigerbot-kaggle-leetcodesolutions-en-2kTigerbot 基于leetcode-solutions数据集，加工生成的代码类sft数据集
原始来源：https://www.kaggle.com/datasets/erichartford/leetcode-solutions
Usage
import datasets
ds_sft = datasets.load_dataset('TigerResearch/tigerbot-kaggle-leetcodesolutions-en-2k')
leetcode-complete
Complete LeetCode Problems Dataset
This dataset contains a comprehensive collection of LeetCode problems (including premium) with AI-generated solutions in JSONL format. It is regularly updated to include new problems as they are added to LeetCode.
Splits
The dataset is divided into the following splits:
train: Contains approximately 80% of the problems for training
validation: Contains approximately 10% of the problems for validation
test: Contains approximately… See the full description on the dataset page: https://huggingface.co/datasets/whiskwhite/leetcode-complete.qrpo-paper-llama-sft-leetcode-sandbox-temp1-ref50-offpolicy10random-sandbox
qrpo-paper-llama-sft-leetcode-sandbox-temp1-ref50-offpolicy10random-sandbox
Dataset with reference completions and rewards for a specific model and reward model, ready for training with the QRPO reference codebase (https://github.com/CLAIRE-Labo/quantile-reward-policy-optimization).
Part of the dataset collection for the paper Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions (https://arxiv.org/pdf/2507.08068).
leetcode1000leetcodepython4-leetcode-eft
Python4 LeetCode AFT (v2)
Execution-validated behavioral fine-tuning demonstrations for a controlled
study of Python 4, a fictional programming language executed by the Boa
interpreter. Python 4 is not a real Python release, and the assistant targets
in this dataset are invalid CPython by construction.
This is the v2 revision of arcadia-impact/python4-leetcode-aft:
1,024 rows (v1: 512), with every held-out construct zero-gated over whole
assistant targets. It supersedes the v1… See the full description on the dataset page: https://huggingface.co/datasets/arcadia-impact/python4-leetcode-eft.LeetCode-Contest
LeetCode Contest Benchmark
A new benchmark for evaluating Code LLMs proposed by DeepSeek-Coder, which consists of the latest algorithm problems of different difficulties.
Usage
git clone https://github.com/deepseek-ai/DeepSeek-Coder.git
cd Evaluation/LeetCode
# Set the model or path here
MODEL="deepseek-ai/deepseek-coder-7b-instruct"
python vllm_inference.py --model_name_or_path $MODEL --saved_path output/20240121-Jul.deepseek-coder-7b-instruct.jsonl
python… See the full description on the dataset page: https://huggingface.co/datasets/TechxGenus/LeetCode-Contest.leetcode-solutionsFrom: https://www.kaggle.com/datasets/jacobhds/leetcode-solutions-and-content-kpis
LeetCodeProblemLeetCode-OThis is the LeetCode-O benchmark proposed in CodeI/O paper (Arxiv 2502.07316).
The data file is in leetcode.jsonl and we provide an example prediction file (gpt-4.1-nano) in prediction.jsonl.
To evaluate your model on this benchmark, please prepare your outputs as in the format of prediction.jsonl, which is to add an output field to each line in leetcode.jsonl corresponding to the output of a LLM to the messages.
To calculate the scores, please simply follow evaluate.py, and you will see the… See the full description on the dataset page: https://huggingface.co/datasets/hkust-nlp/LeetCode-O.leetcode_problem_solutionThis dataset contains: problems and solutions in Leetcode, crawled from: https://github.com/AnasImloul/Leetcode-Solutions
The format of data:
title: title of the problem
algo_input: the description of the problem
solution_py: the solution in Python
solution_js: the solution in Js
solution_java: the solution in Java
solution_c: the solution in C
leetcode
License & Attribution
MTEB-format derivative of greengerong/leetcode. Query = problem title + statement; document = Python solution. Licensed under MIT (same as source).
leetcode-standaloneleetcode-python-dataset
leetcode-python-dataset
Code for building and publishing the justindal/leetcode-python-dataset dataset on Hugging Face.
Merges two open-source LeetCode datasets into a unified schema with consistent formatting, field normalisation, and solution validation.
Dataset
Split
Rows
Source
train
2856
newfacade + greengerong
valid
310
slug-group split from train
test
228
newfacade only
Schema
default config (training)
Each row is a… See the full description on the dataset page: https://huggingface.co/datasets/justindal/leetcode-python-dataset.leetcode-python-solutions-with-exaplanationsleetcodesolutions_en_2kleetcode-problems-dataset
LeetCode Problems Dataset
This dataset contains a comprehensive collection of LeetCode programming problems along with their features, metadata, and instructions.
Attribution
This dataset is derived from multiple sources:
LeetCode's website (https://leetcode.com) — All problem content, solutions, and related materials are the property of LeetCode and are those that are available publicly (No premium problem is shared!).
LeetCodeHelp (https://leetcodehelp.github.io) —… See the full description on the dataset page: https://huggingface.co/datasets/Alishohadaee/leetcode-problems-dataset.task956_leetcode_420_strong_password_check
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task956_leetcode_420_strong_password_check
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task956_leetcode_420_strong_password_check.leetcode-assembly
LeetCode Assembly Dataset
441 LeetCode problems solved in C, compiled to assembly across 4 architectures, 2 compilers, and 4 optimization levels using GCC and Clang via the Godbolt Compiler Explorer API.
Dataset Summary
Stat
Value
Total rows
14,112
Unique problems
441
Architectures
x86-64, AArch64, MIPS64, RISC-V 64
Compilers
GCC 15.2, Clang 21.1.0
Optimization levels
-O0, -O1, -O2, -O3
Compilation success rate
100%
Difficulty split
Easy: 98… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/leetcode-assembly.