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README.md

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 ---
-dataset_info:
-  features:
-  - name: title
-    dtype: string
-  - name: content
-    dtype: string
-  - name: commands
-    sequence: string
-  - name: url
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 601667885.8147503
-    num_examples: 44592
-  - name: validation
-    num_bytes: 150430464.18524963
-    num_examples: 11149
-  download_size: 283869684
-  dataset_size: 752098350.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
+language: en
+license: cc-by-sa-4.0
+task_categories:
+- text-generation
+- question-answering
+- knowledge-retrieval
+tags:
+- enterprise-linux
+- system-administration
+- redhat
+- LLM-training
+- IT-automation
+- AI-assistant
+size_categories:
+- 50K<n<100K
 ---
+
+# 🖥️ Red Hat Technical Documentation Dataset  
+
+## 📌 Overview  
+This dataset contains **55,741** structured technical documentation entries sourced from **Red Hat**, covering:  
+✅ **System Administration Guides** – User management, permissions, kernel tuning  
+✅ **Networking & Security** – Firewall rules, SELinux, VPN setup  
+✅ **Virtualization & Containers** – KVM, Podman, OpenShift, Kubernetes  
+✅ **Enterprise Software Documentation** – RHEL, Ansible, Satellite, OpenStack  
+
+## 📊 Dataset Details  
+This dataset is designed for training **Large Language Models (LLMs)** for **enterprise IT automation and troubleshooting**.  
+It can be used to build **Linux-focused AI assistants**, **automated system administration tools**, and **knowledge-retrieval bots**.
+
+### **🛠️ Potential Use Cases**
+- 🏢 **Enterprise Linux AI Assistant**: Train an LLM for **automated troubleshooting & IT helpdesk**.  
+- 🏗️ **DevOps & Automation**: Enhance **Ansible playbook generation & infrastructure automation**.  
+- 🔍 **Question Answering & Chatbots**: Fine-tune a model for **IT Q&A systems** using **RAG**.  
+- 📚 **Enterprise Documentation Search**: Build a **retrieval-augmented system** for sysadmins.  
+
+## 🏷️ **Dataset Schema**
+```python
+{
+    "title": "str",      # Title of the documentation section  
+    "content": "str",    # Full-text content of the technical guide  
+    "commands": "List[str]",  # Extracted shell commands & configurations  
+    "url": "str"         # Original Red Hat documentation source  
+}