datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Code-Reasoning
Code-Reasoning
Dataset Description
Code problem-solving data with reasoning, direct-answer, and task-synthesis subsets. This repository is part of the K2 Horizon collection.
The repository is organized into multiple subsets. Every subset has a train split backed by Parquet shards, which supports Dataset Viewer inspection and streaming access.
K2 Horizon Dataset Series
Dataset repository
Focus
Subsets
IFM/TxT360-v2
Web and… See the full description on the dataset page: https://huggingface.co/datasets/IFM/Code-Reasoning.X-Coder-SFT-376k
X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests
Dataset Overview
X-Coder-SFT-376k is a large-scale, fully synthetic dataset for advancing competitive programming.
The dataset comprises 4 subsets with a total of 887,321 synthetic records across 423,883 unique queries.
It is designed for supervised fine-tuning and suitbale for cold start to train code reasoning foundations.
X-Coder-SFT-376k is curated by sota reasoning models.… See the full description on the dataset page: https://huggingface.co/datasets/IIGroup/X-Coder-SFT-376k.LiteCoder-Terminal-RL-preview
LiteCoder-Terminal-RL-preview
Paper | Code | Blog Post
This dataset contains 602 standardized Harbor terminal environments and was released as part of the paper LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents.
Unlike static text-only instructions, these environments are fully executable and are designed to support the training of terminal-based agents.
Environment Generation Pipeline
The lack of high-quality, executable… See the full description on the dataset page: https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-RL-preview.Ling-Coder-SFT
🤗 Hugging Face
🤖 ModelScope
🖥️ GitHub
Ling-Coder Dataset
The Ling-Coder Dataset comprises the following components:
Ling-Coder-SFT: A subset of SFT data used for training Ling-Coder Lite, containing more than 5 million samples.
Ling-Coder-DPO: A subset of DPO data used for training Ling-Coder Lite, containing 250k samples.
Ling-Coder-SyntheticQA: A subset of synthetic data used for annealing training of Ling-Coder Lite, containing more… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/Ling-Coder-SFT.github-codereview
Code Review Dataset
A large-scale dataset of the best human-written code reviews from top GitHub repositories.
Each row captures a moment where a human code reviewer left an inline comment on a pull request, and the author subsequently modified the code in response.
The dataset also includes negative examples — code from the same PRs that passed review without comments — to help models learn when code is acceptable.
This provides a natural signal for training models to:
Generate… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/github-codereview.Ling-Coder-SyntheticQA
🤗 Hugging Face
🤖 ModelScope
🖥️ GitHub
Ling-Coder Dataset
The Ling-Coder Dataset comprises the following components:
Ling-Coder-SFT: A subset of SFT data used for training Ling-Coder Lite, containing more than 5 million samples.
Ling-Coder-DPO: A subset of DPO data used for training Ling-Coder Lite, containing 250k samples.
Ling-Coder-SyntheticQA: A subset of synthetic data used for annealing training of Ling-Coder Lite, containing more… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/Ling-Coder-SyntheticQA.CAD-Coder
CAD-Coder Dataset
This is the official dataset for the paper "CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward".
Accepted at NeurIPS 2025 (Poster)
Dataset Description
CAD-Coder Dataset is a large-scale Text-to-CadQuery dataset containing natural language descriptions of 3D CAD models paired with executable CadQuery Python code. The dataset enables training and evaluating language models to generate parametric CAD code from textual descriptions.… See the full description on the dataset page: https://huggingface.co/datasets/gudo7208/CAD-Coder.AnupamB-Coder-Dataset
AnupamB-Coder-Dataset
A large-scale synthetic dataset of Python and SQL examples
spanning basic to expert difficulty — purpose-built for
training AnupamB-Coder-110M,
a GPT-style code language model built entirely from scratch
on a gaming laptop.
The Story Behind This Dataset
Most code datasets on HuggingFace come from scraping GitHub
or StackOverflow. This one is different.
Every single example in this dataset was generated by a
pure Python template engine — no GPT, no… See the full description on the dataset page: https://huggingface.co/datasets/anupambayen/AnupamB-Coder-Dataset.WestGenesis-Coder-SFT-100M
Dataset Overview
WestGenesis-Coder-Dataset is a meticulously curated coding dataset designed specifically for instruction-based model tuning and fine-tuning of existing models with enhanced code generation capabilities. This represents one of the largest and most comprehensively filtered corpora of publicly available coding data on the Hugging Face platform, with a non-thinking approach that emphasizes direct, concise code outputs for rapid model training.
Key… See the full description on the dataset page: https://huggingface.co/datasets/isthatshan/WestGenesis-Coder-SFT-100M.details_Ramikan-BR__tinyllama_PY-CODER-4bit-lora_4k-v12
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_Ramikan-BR__tinyllama_PY-CODER-4bit-lora_4k-v12.ds-coder-instruct-v1
Dataset Card for DS Coder Instruct Dataset
DS Coder is a dataset for instruction fine tuning of language models. It is a specialized dataset focusing only on
data science (eg. plotting, data wrangling, machine learnig models, deep learning, and numerical computations). The dataset contains code examples both in R and Python.
The goal of this dataset is to enable creation of small-scale, specialized language model assistants for data science projects.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/ed001/ds-coder-instruct-v1.GOD_Coder_Complete_DataSet
GOD_Coder_Complete_DataSet
Subtitle
A large-scale complete-project coding dataset by gss1147 / WithIn Us AI, built to train language models into stronger professional software-engineering assistants.
Dataset Summary
GOD_Coder_Complete_DataSet is a large synthetic supervised fine-tuning dataset designed to help turn a general language model into a professional complete-project AI coder.
The dataset focuses on teaching models how to:
diagnose… See the full description on the dataset page: https://huggingface.co/datasets/WithinUsAI/GOD_Coder_Complete_DataSet.LiteCoder-Terminal-SFT
LiteCoder-SFT-Terminal
Paper | Code | Blog Post
LiteCoder-SFT-Terminal is a dataset of 11,255 agent trajectories in terminal environments, introduced in the paper LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents.
Fine-tuned on this data, the LiteCoder-Terminal-30b-a3b-sft model achieves 31.5% Pass@1 on Terminal Bench Pro, while the LiteCoder-Terminal-4b-sft model shows distinct gains over its baseline.
Released Artifacts… See the full description on the dataset page: https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-SFT.Luau-Coder-1.0-Preview-SFT
Luau Coder 1.0 Preview SFT 🦭
This dataset is exceptionally high-quality supervised fine-tuning conversations for a highly capable coding model in Roblox Luau domain.
It prioritize technical correctness, useful engineering judgment, realistic interaction, and efficient explanations over output volume.
This dataset includes & covering:
Multi-turns (4-10 turns)
Dynamic CoT (length)
Dynamic Interleaved Reasoning
Long Context Session
Q/A
Review
Debugging
Bug Fix… See the full description on the dataset page: https://huggingface.co/datasets/khtsly/Luau-Coder-1.0-Preview-SFT.CodeRM-UnitTest
Dataset Description
CodeRM-UnitTest dataset originates from the paper: Dynamic Scaling of Unit Tests for Code Reward Modeling available on arXiv.
You can visit the homepage to learn more about the paper.
It is a curated collection of high-quality synthetic Python unit tests, derived from two prominent code instruction tuning
datasets: CodeFeedback-Filtered-Instruction and the training
set of TACO. This dataset is used for training
CodeRM-8B, a small yet powerful unit test… See the full description on the dataset page: https://huggingface.co/datasets/KAKA22/CodeRM-UnitTest.CodeRouterBench
CodeRouterBench
CodeRouterBench is the benchmark data released with Agent-as-a-Router. The
core unit is a complete task-by-model result matrix: every benchmark task has
one recorded result for each of the eight canonical backend models.
Repository: https://github.com/LanceZPF/agent-as-a-router
Optional trained router adapter: Lance1573/acrouter-qwen35-08b-router-lora
Associated Paper
Hugging Face Daily Papers: Agent-as-a-Router: Agentic Model Routing for Coding… See the full description on the dataset page: https://huggingface.co/datasets/Lance1573/CodeRouterBench.ds-coder-instruct-v2
Dataset Card for DS Coder Instruct v2 Dataset
Changes from v1:
Added WizardLM evol data science samples
Removed R samples from v2
DS Coder is a dataset for instruction fine tuning of language models. It is a specialized dataset focusing only on
data science (eg. plotting, data wrangling, machine learnig models, deep learning, and numerical computations). The dataset contains code examples both in Python (R samples were removed in v2).
The goal of this dataset is to enable… See the full description on the dataset page: https://huggingface.co/datasets/ed001/ds-coder-instruct-v2.Qwen3-Coder-Next-Open-Code-SFT
Dataset Card — OpenCode Rejection Sampling
Overview
This dataset contains high-quality code reasoning data for training language models on competitive programming tasks. It is produced via rejection sampling with Qwen3-Coder-Next, which would generate multiple candidate solutions per problem, each candidate is executed against test cases in a sandboxed environment, and the results are used to build two complementary training datasets:
SFT dataset (49,374 examples)… See the full description on the dataset page: https://huggingface.co/datasets/zake7749/Qwen3-Coder-Next-Open-Code-SFT.Qwen3-Coder-Next-OpenCode-Preference
Dataset Card — OpenCode Rejection Sampling (Preference)
Overview
This dataset contains 10,920 preference pairs for preference-based training (DPO, KTO, SimPO, ORPO, etc.) on competitive programming tasks. Each pair consists of:
Chosen: a candidate solution that passes 100% of test cases
Rejected: a candidate solution that fails, with a fine-grained rejection type label
Pairs are produced via rejection sampling with Qwen3-Coder-Next: 8 candidate solutions are… See the full description on the dataset page: https://huggingface.co/datasets/zake7749/Qwen3-Coder-Next-OpenCode-Preference.Ling-Coder-SFT
🤗 Hugging Face
🤖 ModelScope
🖥️ GitHub
Ling-Coder Dataset
The Ling-Coder Dataset comprises the following components:
Ling-Coder-SFT: A subset of SFT data used for training Ling-Coder Lite, containing more than 5 million samples.
Ling-Coder-DPO: A subset of DPO data used for training Ling-Coder Lite, containing 250k samples.
Ling-Coder-SyntheticQA: A subset of synthetic data used for annealing training of Ling-Coder Lite, containing more… See the full description on the dataset page: https://huggingface.co/datasets/dinhuclab/Ling-Coder-SFT.strudel-coder
Claude Code session traces for JohnBeanerson/strudel-coder
This dataset contains redacted Claude Code session traces collected while working on https://github.com/ultralazr/strudel-coder.git. The traces were exported with cc-share-hf and filtered to keep only sessions that passed deterministic redaction and LLM review.
Data description
Each file in the repo root is a redacted Claude Code session in its native JSONL format (one entry per line). HuggingFace… See the full description on the dataset page: https://huggingface.co/datasets/JohnBeanerson/strudel-coder.Rust-Coder
Rust-Coder
Rust-Coder is a comprehensive text dataset designed for Rust programming language learning. It contains 12,000 unique samples focusing on distinct Rust concepts, code snippets, and explanations.
Dataset Structure
Each sample consists of:
id: A unique UUID.
instruction: A prompt or question about a Rust concept.
code: An idiomatic Rust code snippet.
explanation: A detailed explanation of the concept and code.
category: The high-level Rust category (e.g.… See the full description on the dataset page: https://huggingface.co/datasets/Convence/Rust-Coder.golang-coderQ&A style combined, deduplicated dataset including portions of:
Golang best practices and coding guides (general Q&A) https://huggingface.co/datasets/smcleod/golang-programming-style-best-practices (MIT)
Golang questions (general Q&A) https://huggingface.co/datasets/ExAi/Code-Golang-QA-2k (Apache2)
Golang functions (code & description) https://huggingface.co/datasets/google/code_x_glue_ct_code_to_text (c-uda)
Golang snippets (code & description)… See the full description on the dataset page: https://huggingface.co/datasets/smcleod/golang-coder.Ling-Coder-SFT-English-Clean
Ling-Coder-SFT-English-Clean
A cleaned, English-only version of inclusionAI/Ling-Coder-SFT — one of the largest open-source coding instruction datasets (~5.1M samples). Split by programming language for easy access.
Curated by MnemicAI
Origin Story
While building our Mnemic COCM-COT training pipeline — a multi-language coding instruction dataset with stratified topic sampling — we discovered that 11.44% of Ling-Coder-SFT contains Chinese/CJK characters mixed into what… See the full description on the dataset page: https://huggingface.co/datasets/MnemicAI/Ling-Coder-SFT-English-Clean.coder-pretrain-60gb
Coding LLM Pretraining Corpus
Built with build_pretrain_dataset.ipynb + finalize_local.py (DuckDB).
Composition
Source
Collected rows
Collected size
Final rows
Final size
code
8,415,197
30.00 GB
8,413,850
29.88 GB
web
3,492,492
15.00 GB
3,390,372
14.50 GB
math
659,720
3.00 GB
658,089
2.95 GB
wiki
519,584
2.00 GB
519,535
1.99 GB
docs
4,504,069
10.00 GB
4,289,545
9.74 GB
Total final corpus: 59.06 GB of raw text
(17,271,391 documents) across… See the full description on the dataset page: https://huggingface.co/datasets/Aniket200325/coder-pretrain-60gb.code-review-bench
Code Review Bench
A paired online-offline benchmark for AI code review.
Splits
online — Stratified sample of 1,135 bot-reviewed PRs, scraped from open-source Github repositories and scored by the online benchmark (15 tools, Feb–Apr 2026).
offline — 136 expert-curated golden issues across 50 PRs (5 repositories).
Provenance
The offline golden issues extend the 50-PR benchmark originally created by Greptile (2025) and refined by Augment (2025). Our… See the full description on the dataset page: https://huggingface.co/datasets/code-review-bench/code-review-bench.OpenMathReasoning-mini-ko
OpenMathReasoning-mini Korean (한국어 번역)
이 데이터셋은 unsloth/OpenMathReasoning-mini 데이터셋을 한국어로 번역한 버전입니다.
원본 데이터셋은 nvidia/OpenMathReasoning 에서 파생되었습니다.
데이터셋 정보
항목
내용
원본 데이터셋
unsloth/OpenMathReasoning-mini
원본 출처
nvidia/OpenMathReasoning
라이선스
CC-BY-4.0
행 수
19,252
언어
한국어 (Korean), 영어 (English)
번역 대상 컬럼
expected_answer, problem, generated_solution
라이선스 및 귀속
이 데이터셋은 원본 데이터셋인 nvidia/OpenMathReasoning의 CC-BY-4.0 라이선스를 따릅니다.
원저작자: NVIDIA… See the full description on the dataset page: https://huggingface.co/datasets/neuralfoundry-coder/OpenMathReasoning-mini-ko.combined_coder_pythonCombining smaller python code datasets into a larger one.
Changed format to system, instruction, output.
Built from:
dataset1: nickrosh/Evol-Instruct-Code-80k-v1
dataset2: ehartford/dolphin-coder
dataset3: iamtarun/python_code_instructions_18k_alpaca
dataset4: iamtarun/python_code_instructions_18k_alpaca
dataset5: Vezora/Tested-22k-Python-Alpaca
dataset6: mlabonne/Evol-Instruct-Python-26k
dataset7: KrisPi/PythonTutor-Evol-1k-DPO-GPT4_vs_35
dataset8:… See the full description on the dataset page: https://huggingface.co/datasets/jtatman/combined_coder_python.CodeReality
CodeReality: Evaluation Subset - Deliberately Noisy Code Dataset
⚠️ Important Limitations
⚠️ Not Enterprise-Ready: This dataset is deliberately noisy and designed for research only. Contains mixed/unknown licenses, possible secrets, potential security vulnerabilities, duplicate code, and experimental repositories. Requires substantial preprocessing for production use.
Use at your own risk - this is a research dataset for robustness testing and data curation method… See the full description on the dataset page: https://huggingface.co/datasets/vinsblack/CodeReality.code-review-lab
CodeReview laboratory changes
Synthetic Python before/after pairs and unified diffs for the CodeReview change-scoped secure-review demo. Seed 24.
Organization dataset and collection are public. Live Gradio will be alirezaaminzadeh/code-review and the organization card AriaAICompany/code-review after the daily Space-creation cap resets (scripts/publish.py). Runnable Space source is stored in demo/. Collection: Aria AI — Cybersecurity.
This is fixture data (level 1). The snippets… See the full description on the dataset page: https://huggingface.co/datasets/AriaAICompany/code-review-lab.