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--- |
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language: en |
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license: cc-by-sa-4.0 |
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task_categories: |
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- text-retrieval |
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- text-generation |
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- question-answering |
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tags: |
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- enterprise-linux |
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- system-administration |
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- redhat |
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- LLM-training |
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- IT-automation |
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- AI-assistant |
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size_categories: |
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- 50K<n<100K |
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--- |
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# 🖥️ Red Hat Technical Documentation Dataset |
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## 📌 Overview |
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This dataset contains **55,741** structured technical documentation entries sourced from **Red Hat**, covering: |
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✅ **System Administration Guides** – User management, permissions, kernel tuning |
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✅ **Networking & Security** – Firewall rules, SELinux, VPN setup |
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✅ **Virtualization & Containers** – KVM, Podman, OpenShift, Kubernetes |
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✅ **Enterprise Software Documentation** – RHEL, Ansible, Satellite, OpenStack |
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## 📊 Dataset Details |
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This dataset is designed for training **Large Language Models (LLMs)** for **enterprise IT automation and troubleshooting**. |
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It can be used to build **Linux-focused AI assistants**, **automated system administration tools**, and **knowledge-retrieval bots**. |
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### **🛠️ Potential Use Cases** |
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- 🏢 **Enterprise Linux AI Assistant**: Train an LLM for **automated troubleshooting & IT helpdesk**. |
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- 🏗️ **DevOps & Automation**: Enhance **Ansible playbook generation & infrastructure automation**. |
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- 🔍 **Question Answering & Chatbots**: Fine-tune a model for **IT Q&A systems** using **RAG**. |
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- 📚 **Enterprise Documentation Search**: Build a **retrieval-augmented system** for sysadmins. |
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## 🏷️ **Dataset Schema** |
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```python |
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{ |
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"title": "str", # Title of the documentation section |
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"content": "str", # Full-text content of the technical guide |
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"commands": "List[str]", # Extracted shell commands & configurations |
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"url": "str" # Original Red Hat documentation source |
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} |
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