datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
China-K12-STEM-10K-CoT-Reasoning
K12-STEM-CoT-Chinese
1.54M Chinese K12 STEM problems with chain-of-thought solutions, 48% with diagrams.
The largest structured Chinese math/physics/chemistry reasoning dataset.
This is a curated sample (10,000 problems) of the full 1.54M dataset available via API.
Full Dataset Access
Access the full 1,540,000+ problems via API →
This Sample
Full API
Total problems
10,025
1,540,000+
With CoT solutions
10,025
1,490,000+
With diagrams
6,093
740,000+… See the full description on the dataset page: https://huggingface.co/datasets/lfaviate/China-K12-STEM-10K-CoT-Reasoning.salabs-stem-deep-reasoning-cot-v13
🧪 SALabs Multi-Domain STEM Deep Reasoning & Chain-of-Thought (CoT) Corpus (v13.0)
[!IMPORTANT]
💳 Click Here to Purchase Enterprise Commercial License ($2,500 USD) & Instant 31.7MB Master Archive DownloadInstant download of the full lossless master package containing all 1,816 JSONL reasoning records + 13 complete uncompressed text corpora (31.72 MB uncompressed total) + commercial license certificate.
🌟 Executive Summary
The SALabs STEM Deep Reasoning… See the full description on the dataset page: https://huggingface.co/datasets/suitai/salabs-stem-deep-reasoning-cot-v13.Magpie-Reasoning-V2-250K-CoT-Llama3
Project Web: https://magpie-align.github.io/
Arxiv Technical Report: https://arxiv.org/abs/2406.08464
Codes: https://github.com/magpie-align/magpie
Abstract
Click Here
High-quality instruction data is critical for aligning large language models (LLMs). Although some models, such as Llama-3-Instruct, have open weights, their alignment data remain private, which hinders the democratization of AI. High human labor costs and a limited, predefined scope for prompting prevent… See the full description on the dataset page: https://huggingface.co/datasets/Magpie-Align/Magpie-Reasoning-V2-250K-CoT-Llama3.opus-4.7-reasoning-cot-4.8k
Opus 4.7 Chain-of-Thought Reasoning
2,405 chain-of-thought reasoning traces produced by claude-opus-4-7 on hard reasoning prompts spanning math, science, and formal subjects.
Each sample is a problem → <think> block → polished answer pair, where the <think> block contains Opus 4.7's full working (Restatement → Approach → Step-by-step derivation → Verification) and the post-</think> answer is written as a standalone lesson starting with the result in bold.
How the… See the full description on the dataset page: https://huggingface.co/datasets/ansulev/opus-4.7-reasoning-cot-4.8k.opus-4.7-reasoning-cot
Opus 4.7 Chain-of-Thought Reasoning
2,405 chain-of-thought reasoning traces produced by claude-opus-4-7 on hard reasoning prompts spanning math, science, and formal subjects.
Each sample is a problem → <think> block → polished answer pair, where the <think> block contains Opus 4.7's full working (Restatement → Approach → Step-by-step derivation → Verification) and the post-</think> answer is written as a standalone lesson starting with the result in bold.
How the data… See the full description on the dataset page: https://huggingface.co/datasets/eddieran/opus-4.7-reasoning-cot.Math_CoT_Arabic_English_Reasoning
Math CoT Arabic English Dataset
A high-quality, bilingual (English & Arabic) dataset for Chain-of-Thought (COT) reasoning in mathematics and related disciplines, developed by Miscovery AI.
Overview
Math-COT is a unique dataset designed to facilitate and benchmark the development of chain-of-thought reasoning capabilities in language models across mathematical domains. With meticulously crafted examples, explicit reasoning steps, and bilingual support, this dataset offers… See the full description on the dataset page: https://huggingface.co/datasets/miscovery/Math_CoT_Arabic_English_Reasoning.cybersecurity-reasoning-cot-v1
🛡️ Expert Cybersecurity Reasoning Dataset (CoT)
This dataset contains 89 high-fidelity, expert-verified reasoning records focusing on complex cybersecurity attack vectors. It is designed specifically for fine-tuning Large Language Models (LLMs) on sophisticated security analysis and threat logic.
💎 Key Highlights
Niche Rarity 1.0: Covers rare and emerging threats with zero prior representation in open-source datasets.
Advanced Vectors: Includes detailed reasoning for… See the full description on the dataset page: https://huggingface.co/datasets/expertdata-factory/cybersecurity-reasoning-cot-v1.China-K12-STEM-10K-CoT-Reasoning
K12-STEM-CoT-Chinese
1.54M Chinese K12 STEM problems with chain-of-thought solutions, 48% with diagrams.
The largest structured Chinese math/physics/chemistry reasoning dataset.
This is a curated sample (10,000 problems) of the full 1.54M dataset available via API.
Full Dataset Access
Access the full 1,540,000+ problems via API →
This Sample
Full API
Total problems
10,025
1,540,000+
With CoT solutions
10,025
1,490,000+
With diagrams
6,093
740… See the full description on the dataset page: https://huggingface.co/datasets/a13905873166/China-K12-STEM-10K-CoT-Reasoning.CoT-Scientific-RAG-Reasoning
CoT-Scientific-RAG-Reasoning
This dataset is designed for fine-tuning Large Language Models (specifically Qwen-series) to perform complex reasoning over scientific and technical documents using Chain-of-Thought (CoT).
Dataset Description
The dataset contains instructions and scientific contexts (Medical Imaging, Autonomous Driving, VLA Frameworks) where the model is required to generate a reasoning trace before providing the final answer.
Format: JSONL
Logic: All outputs… See the full description on the dataset page: https://huggingface.co/datasets/abhinavdread/CoT-Scientific-RAG-Reasoning.cot-reasoning-2k
DuoNeural CoT Reasoning Dataset (2K)
A compact, high-quality chain-of-thought reasoning dataset generated for supervised fine-tuning (SFT). All 2,151 examples are quality-scored 5/5 and focus on explicit step-by-step reasoning traces.
Benchmark Results
Fine-tuned Qwen2.5-1.5B-Instruct on this dataset (3 epochs, LoRA rank 16, ~36 min on RTX 3090):
Metric
Baseline
Post-SFT
Δ Absolute
Δ Relative
GSM8K (flexible-extract)
0.3177
0.4890
+17.1pp
+53.9%
GSM8K… See the full description on the dataset page: https://huggingface.co/datasets/DuoNeural/cot-reasoning-2k.Game_Reasoning_CoT
🎮 Game Reasoning CoT (Chain-of-Thought) Dataset
Overview
Game Reasoning CoT is a specialized dataset containing 551 records designed to fine-tune and evaluate LLMs on complex strategic decision-making and logical reasoning within gaming contexts.
📊 Dataset Statistics
Total Samples: 551
Format: JSONL
Categories: Chess, game_intelligence, Texas Hold'em, Blackjack, Roulette, Uno, Backgammon, Go
Difficulty: {'hard': 522, 'medium': 29}
📊 Performance… See the full description on the dataset page: https://huggingface.co/datasets/3amthoughts/Game_Reasoning_CoT.keural-v2-cot-reasoning
Reasoning / Chain-of-Thought (Area 4) — Korean SFT Dataset Prep
상태: 비공개 스테이징 (private) — 제2자 감사 전, 공개 배포 대상 아님
출처
원본: nvidia/OpenMathReasoning (cot split)
커밋 해시: d3d08664755704f422af97d43a7ff0ded4bd95df
라이선스: CC-BY-4.0 (태그와 본문 일치, "License/Terms of Use: cc-by-4.0")
생성 모델: DeepSeek-R1(샘플 중 다수), QwQ-32B — 둘 다 오픈 웨이트 모델, 독점 모델 ToS 리스크 없음
언어: 영어 (지침서 §1.4 정책에 따라 번역 없이 영어 그대로 사용)
출처 구성 (problem_source)
문제(질문) 출처는 대부분 AoPS(Art of Problem Solving) 포럼… See the full description on the dataset page: https://huggingface.co/datasets/mkd-minju/keural-v2-cot-reasoning.fake_news_cot_reasoning
Fake News Chain-of-Thought Reasoning Dataset
This dataset contains 9,500 news articles with Chain-of-Thought (CoT) reasoning explanations for why each article is classified as fake or real news.
Dataset Description
Each record contains natural language reasoning that explains the classification decision, generated using Qwen 2.5 1.5B model via llama.cpp inference.
Features
Field
Type
Description
title
string
News article headline
input
string
Full… See the full description on the dataset page: https://huggingface.co/datasets/domofon/fake_news_cot_reasoning.fingpt-dow30-cot-reasoning
FinGPT Forecaster DOW30 — Chain-of-Thought Dataset
Weekly stock price movement predictions for DOW-30 constituents, augmented with
Chain-of-Thought (CoT) reasoning generated via GPT-4.
Built on top of the base dataset:
FinGPT/fingpt-forecaster-dow30-202305-202405
Schema
Field
Description
symbol
DOW-30 ticker (e.g. AXP, MSFT)
period
Forecast week, e.g. 2023-05-14 to 2023-05-21
prompt
Full instruction prompt fed to the model
answer
CoT reasoning +… See the full description on the dataset page: https://huggingface.co/datasets/korra141/fingpt-dow30-cot-reasoning.CoT-Moderate-Reasoning-Embedding
Do Reasoning Models Enhance Embedding Models?
Introduction
This is the dataset used to evaluate the model similarity with the Hierarchical Representation Similarity Analysis (HRSA) framework in the paper Do Reasoning Models Enhance Embedding Models?. To verify if the latent manifold is preserved even within reasoning trajectories, we construct a Chain-of-Thought (CoT) dataset. Unlike standard semantic datasets, this corpus… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/CoT-Moderate-Reasoning-Embedding.Extreme-Reasoning-CoT
Extreme Reasoning
Still to be updated
A dataset for Extra-Heavy Chain of Thought reasoning.
AI assistants dont think good enough, this dataset is here to fix it.
Elite level quality
All rows are human supervised.
keural-v2-cot-reasoning-v2
Reasoning / Chain-of-Thought (Area 4, v2) — Korean SFT Dataset Prep
상태: 비공개 스테이징(private) — §3 처리(1~8번, 최종 인코딩 포함) 전부 완료. 제2자 감사 전, 공개 배포 대상 아님.
이 v2는 §3 처리를 새로 검증하며 진행한 최종 버전입니다(2026-08-10). v1(원본 problem/generated_solution 필드 그대로)과 달리, DeepSeek-V4-Flash-0731 학습용 최종 텍스트(text 필드)로 인코딩까지 완료됐습니다.
출처
원본: nvidia/OpenMathReasoning (cot split)
커밋 해시: d3d08664755704f422af97d43a7ff0ded4bd95df
라이선스: CC-BY-4.0 (태그와 본문 일치)
생성 모델: DeepSeek-R1(다수), QwQ-32B — 둘 다 오픈 웨이트 모델
언어:… See the full description on the dataset page: https://huggingface.co/datasets/mkd-minju/keural-v2-cot-reasoning-v2.CoT_Reasoning_Cooking
Description:
Embark on a flavorful journey into the intricate realm of culinary reasoning with the "CoT_Cooking_Reasoning" dataset. This open-source resource (MIT licensed) offers a carefully curated collection of question-and-answer pairs designed to train AI models in grasping the subtle yet significant nuances of culinary processes, ingredient relationships, and cooking time calculations. This dataset explores a wide range of culinary scenarios, from basic ingredient preparation and recipe… See the full description on the dataset page: https://huggingface.co/datasets/mattwesney/CoT_Reasoning_Cooking.CoT-Hard-Reasoning-Embedding
Do Reasoning Models Enhance Embedding Models?
Introduction
This is the dataset used to evaluate the model similarity with the Hierarchical Representation Similarity Analysis (HRSA) framework in the paper Do Reasoning Models Enhance Embedding Models?. To verify if the latent manifold is preserved even within reasoning trajectories, we construct a Chain-of-Thought (CoT) dataset. Unlike standard semantic datasets, this corpus… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/CoT-Hard-Reasoning-Embedding.CoT-Easy-Reasoning-Embedding
Do Reasoning Models Enhance Embedding Models?
Introduction
This is the dataset used to evaluate the model similarity with the Hierarchical Representation Similarity Analysis (HRSA) framework in the paper Do Reasoning Models Enhance Embedding Models?. To verify if the latent manifold is preserved even within reasoning trajectories, we construct a Chain-of-Thought (CoT) dataset. Unlike standard semantic datasets, this corpus… See the full description on the dataset page: https://huggingface.co/datasets/lucaswychan/CoT-Easy-Reasoning-Embedding.schema_cot_reasoning
⊙ Prompt Programs for Agentic Reasoning
Programmable task-dependent COTs for agentic reasoning.
A 100-row seed dataset for programmable cognition.
Each row defines:
Prompt template + input binding + explanation + task-dependent reasoning program
Pipeline:
intake → binding → procedure → output
Schema
Column
Meaning
ID
Stable row ID
Name
Task name
Prompt
Prompt template using {{VARIABLE}}
Expression
Input binding using $.path
Explanation
Binding… See the full description on the dataset page: https://huggingface.co/datasets/bitwikiorg/schema_cot_reasoning.