datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Cybersecurity_Reasoning_Dataset
Cybersecurity Reasoning Dataset (Model-Agnostic)
A model-agnostic re-architecture of the Cybersecurity Reasoning Dataset. The original
corpus was format-bound to the Mistral/Llama ### Instruction: / ### Response: template;
this dataset losslessly separates reasoning content from format, providing one
neutral canonical corpus plus four per-family rendered training variants
(Mistral/Llama, DeepSeek, ChatML, Gemma).
Why this exists. Identical content scored 88.1 on a… See the full description on the dataset page: https://huggingface.co/datasets/dpevzner/Cybersecurity_Reasoning_Dataset.logical-reasoning-qa-dataset
Dataset Card for "logical-reasoning-qa-dataset"
More Information needed
chemistry-reasoning-datasettransformer-reasoning-bios-dataset-25000math_reasoning_dataset_3Mtransformer-reasoning-bios-dataset-250000unified-reasoning-dataset
Unified Reasoning Dataset
A 94,860-row English SFT collection that normalizes four synthetic reasoning and instruction datasets into one consistent schema.
Quick start
from datasets import load_dataset
dataset = load_dataset(
"j0no12/unified-reasoning-dataset",
split="train",
)
print(dataset.column_names)
# ['thinking', 'instruction', 'response', 'source']
print(dataset[0])
Dataset summary
Property
Value
Split
train only
Rows… See the full description on the dataset page: https://huggingface.co/datasets/j0no12/unified-reasoning-dataset.Pashto-Free-Hand-Reasoning-Dataset
Pashto Free-Hand Reasoning SFT Dataset 🧠♻️
This dataset contains high-quality, long-form SFT (Supervised Fine-Tuning) conversational data in Pashto, featuring unconstrained, natural model reasoning (<think> blocks) paired with standardized chat responses.
🔄 The 3R Approach (Recycle, Reuse, Reason)
Instead of discarding legacy QA pairs, this dataset follows a 3R data philosophy:
Recycle: Taking older, simple, or raw legacy Pashto questions.
Reuse: Re-processing… See the full description on the dataset page: https://huggingface.co/datasets/nassimjp/Pashto-Free-Hand-Reasoning-Dataset.nejm-medqa-diagnostic-reasoning-datasetDownloaded from Supplemental Information of the article "Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine
" [link]
Savage, T., Nayak, A., Gallo, R. et al. Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine. npj Digit. Med. 7, 20 (2024). https://doi.org/10.1038/s41746-024-01010-1
transformer-reasoning-bios-dataset-25000_shuffledsynthetic_vc_financial_decisions_reasoning_dataset
Best Curator Use Case in the Reasoning Datasets Competition: https://www.linkedin.com/feed/update/urn:li:activity:7330998995990781952/
Synthetic VC Financial Decisions Reasoning Dataset
Dataset Summary
The Synthetic VC Financial Decisions Reasoning Dataset is a large-scale collection designed to train, evaluate, and fine-tune language models on subjective, abstract financial reasoning tasks. It simulates venture capital (VC) workflows by capturing multiple… See the full description on the dataset page: https://huggingface.co/datasets/ZennyKenny/synthetic_vc_financial_decisions_reasoning_dataset.SecCoderX_Reasoning_Vulnerability_Detection_SFT_Cold_Start_Dataset
Citation
If you find our work helpful, feel free to give us a cite.
@misc{wu2026securecodegenerationonline,
title={Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model},
author={Tianyi Wu and Mingzhe Du and Yue Liu and Chengran Yang and Terry Yue Zhuo and Jiaheng Zhang and See-Kiong Ng},
year={2026},
eprint={2602.07422},
archivePrefix={arXiv},
primaryClass={cs.CR},
url={https://arxiv.org/abs/2602.07422}… See the full description on the dataset page: https://huggingface.co/datasets/SecCoderX/SecCoderX_Reasoning_Vulnerability_Detection_SFT_Cold_Start_Dataset.physics-reasoning-dataset
📚 Flux Physics Reasoning Dataset
This dataset contains detailed physics reasoning scenarios designed to train Small Language Models (SLMs) and Liquid Neural Networks in physical intuition.
📄 Format
The dataset is provided in Parquet format (train.parquet) for efficient loading. Each row contains:
prompt: The physics question or scenario description.
answer: The correct physical explanation and answer.
concept: The underlying physics principle (e.g., "Conservation of… See the full description on the dataset page: https://huggingface.co/datasets/convaiinnovations/physics-reasoning-dataset.A-Dataset-for-Complex-Reasoning-over-Textual-Knowledge-Graphs-in-Medicine
RiTeK: Medical Textual Knowledge Graph QA Benchmark
RiTeK is a benchmark for complex reasoning over medical Textual Knowledge Graphs (medical TKGs). It evaluates whether retrieval systems and Large Language Models (LLMs) can answer realistic medical questions by using both relational paths and textual entity descriptions.
Dataset Overview
The benchmark contains three medical graph QA subsets:
Dataset
Directory
Splits
KG file
ADint
Adint
train / dev / test… See the full description on the dataset page: https://huggingface.co/datasets/ChenAI2015/A-Dataset-for-Complex-Reasoning-over-Textual-Knowledge-Graphs-in-Medicine.Long-Context-Reasoning-Dataset
Description
본 데이터셋은 현재 대규모 언어 모델(LLM)이 장문 문서를 처리하고 복잡한 추론을 수행할 때 나타나는 핵심적인 한계를 보완하기 위해 구축되었습니다. 중국어, 영어, 한국어의 3개 언어로 구성된 총 7,500개의 고품질 학습 데이터를 포함하고 있습니다. 각 데이터는 장문의 텍스트를 기반으로 하며, 여러 문단과 문서에 걸쳐 정보를 종합하고 여러 단계의 논리적 추론 과정을 거쳐야 답변할 수 있는 질문으로 구성되어 있습니다. 본 데이터셋은 모델의 장거리 문맥 이해, 관련 정보 검색 및 추출, 논리적 추론 경로 구성, 근거 정보의 출처 추적 능력을 종합적이고 체계적으로 평가하는 데 활용할 수 있습니다.
자세한 내용은 아래 링크를 참고해 주세요: https://ko.nexdata.ai/datasets/llm/2121?source=hf.kr
Specifications
Content
장문… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-kr/Long-Context-Reasoning-Dataset.transformer-reasoning-bios-dataset-10000mixed_reasoning_datasetall-datasetsLinny-Dataset-Small-TinyChat-ReasoningUIGEN-T3-Dataset-Extended-Reasoningtwi-llm-reasoning-dataset-1k
This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/.
This dataset is made available because of Ghana NLP's volunteer driven research work. Please consider contributing to any of our projects on Github
Twi Reasoning Dataset
A Twi (Akan) translation of the Multilingual-Thinking… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/twi-llm-reasoning-dataset-1k.reasoning-gym-verl-datasets
reasoning-gym-verl-datasets
This dataset contains procedurally generated reasoning tasks from the Reasoning Gym (r-gym) framework, structured and pre-processed in parquet format for training models with veRL.
These datasets were used to train MauroPello/Qwen3-1.7B-RL-final using GRPO (Group Relative Policy Optimization).
Dataset Splits & Structure
Split Name
Path
Size (Examples)
Description
train
train.parquet
100,000
Raw training set containing… See the full description on the dataset page: https://huggingface.co/datasets/MauroPello/reasoning-gym-verl-datasets.syngen-reasoning-0.6b-datasetandyrdt/gpt-oss-20b-rollouts x QuixiAI/dolphin-r1 then filtered and reformatted
logic-problems-reasoning-dataset
Dataset Card for my-distiset-a26cd729
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/sdiazlor/my-distiset-a26cd729/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/sdiazlor/logic-problems-reasoning-dataset.english-hindi-reasoning-dataset
english-hindi-reasoning-dataset
English→Hindi translation dataset for chain-of-thought reasoning, segmented
into PRM-style reasoning steps. Built for training a masked diffusion language
model (MDLM) to translate reasoning traces step-by-step.
Sources
Reasoning traces were sampled from three upstream datasets and translated
English→Hindi at the reasoning-step level (each step: one coherent chunk of a
chain-of-thought, bounded by… See the full description on the dataset page: https://huggingface.co/datasets/Athekunal/english-hindi-reasoning-dataset.math_datasetarabic-reasoning-dataset-logic
Arabic Logical Reasoning Tasks Dataset (Maximum 1000 Tasks)
Overview
This dataset comprises a series of logical reasoning tasks designed to evaluate and train artificial intelligence models on understanding and generating logical inferences in the Arabic language. Each task includes a unique identifier, the task type, the task text (a question and a proposed answer), and a detailed solution that outlines the thinking steps and the final answer.
Data Format
The… See the full description on the dataset page: https://huggingface.co/datasets/beetleware/arabic-reasoning-dataset-logic.My-Reasoning-DatasetTurkish-Visual-Reasoning-Dataset
Turkish Visual Reasoning Dataset
The Turkish Visual Reasoning Dataset is a Turkish multimodal reasoning dataset designed to evaluate and improve the abstract reasoning capabilities of Vision-Language Models (VLMs).
It was created by adapting established visual reasoning benchmarks into Turkish and combining them with original Turkish BİLSEM preparation questions. The dataset targets challenging reasoning tasks such as logical pattern discovery, spatial reasoning, analogical… See the full description on the dataset page: https://huggingface.co/datasets/Berkesule/Turkish-Visual-Reasoning-Dataset.reasoning-dataset
ArgChains Reasoning Dataset
Dataset Description
This dataset contains narrative reasoning examples used for evaluation in the ArgChains hybrid neuro-symbolic reasoning framework. The dataset consists of fictional narratives involving ethical dilemmas.
The gold-standard chains are present in gold_standard_chains.txt for each story. They were generated using expert annotations.
The dataset is publicly available for research and non-commercial use.