datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
devops-incident-response
Dataset Card for DevOps Incident Response Dataset
Dataset Description
Dataset Summary
The DevOps Incident Response Dataset is a comprehensive collection of real-world-style DevOps incidents, troubleshooting scenarios, and resolution procedures. This dataset is designed to help train AI models for DevOps assistance, incident response automation, and technical troubleshooting education.
Each incident includes:
Detailed incident description and symptoms… See the full description on the dataset page: https://huggingface.co/datasets/Snaseem2026/devops-incident-response.devops-kubernetes-sft-100k
DevOps and Kubernetes SFT 100K
A synthetic supervised fine-tuning dataset of 100,000 high-quality DevOps and Kubernetes conversations designed to train AI assistants capable of supporting platform engineers, SREs, and DevOps practitioners.
Dataset Description
This dataset covers production-grade Kubernetes operations, cloud infrastructure, CI/CD pipelines, GitOps workflows, and platform engineering across 13 specialized categories. Each record follows the ShareGPT… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/devops-kubernetes-sft-100k.devops-cloud-instruction-dataset
DevOps & Cloud Infrastructure Dataset
Professional instruction-response pairs for DevOps engineers covering Kubernetes, Docker, Terraform, CI/CD, and cloud services (AWS, Azure).
Dataset Details
Dataset Description
This is a high-quality instruction-tuning dataset focused on Devops Cloud topics. Each entry includes:
A clear instruction/question
Optional input context
A detailed response/solution
Chain-of-thought reasoning process
Curated by: CloudKernel.IO… See the full description on the dataset page: https://huggingface.co/datasets/bernabepuente/devops-cloud-instruction-dataset.devops-sft-dataset
DevOps SFT Instruction Dataset
This dataset contains 8,076 high-quality instruction-response pairs specifically generated for fine-tuning a DevOps domain-specialized language model. It was used in the Supervised Fine-Tuning (SFT) phase of the Ulysses model training pipeline.
Dataset Description
Instructions were generated using the Gemini API (gemini-2.0-flash) and Ollama (qwen2.5-coder:7b) by feeding chunks of official DevOps documentation and GitHub repositories… See the full description on the dataset page: https://huggingface.co/datasets/jalpan04/devops-sft-dataset.Devops_LLMSO-Python_QA-System_Administration_and_DevOps_classbio-devops-synthetic-instructions
Bio-DevOps Synthetic Instructions
This dataset contains synthetic instruction-following examples for biomedical-style data-engineering and scientific-computing workflows.
It was created for educational and portfolio use as part of a LoRA/QLoRA fine-tuning project using Qwen/Qwen2.5-Coder-7B-Instruct.
Related model:
AiLLMBS/qwen25-coder-bio-devops-lora
Dataset Contents
The dataset includes synthetic examples for:
Python CSV validation
pandas duplicate checks
bash… See the full description on the dataset page: https://huggingface.co/datasets/AiLLMBS/bio-devops-synthetic-instructions.devops-dataset-v1software-engineering-and-devopsdevops-opsnotes-instructionsdevops-AIDLCdevops-incident-response
Dataset Card for DevOps Incident Response Dataset
Dataset Description
Dataset Summary
The DevOps Incident Response Dataset is a comprehensive collection of real-world-style DevOps incidents, troubleshooting scenarios, and resolution procedures. This dataset is designed to help train AI models for DevOps assistance, incident response automation, and technical troubleshooting education.
Each incident includes:
Detailed incident description and… See the full description on the dataset page: https://huggingface.co/datasets/nikhil2098/devops-incident-response.mirror-devops-sft-dataset
DevOps SFT Instruction Dataset
This dataset contains 8,076 high-quality instruction-response pairs specifically generated for fine-tuning a DevOps domain-specialized language model. It was used in the Supervised Fine-Tuning (SFT) phase of the Ulysses model training pipeline.
Dataset Description
Instructions were generated using the Gemini API (gemini-2.0-flash) and Ollama (qwen2.5-coder:7b) by feeding chunks of official DevOps documentation and GitHub repositories… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-devops-sft-dataset.devopspowershell-devops-mega-datasetmirror-Devops_LLMConnor-Data-Devops_cloudConnor-Data-AEX-devops_clouddevopsenglish-devops-fundamentals-30