README.md

DevOps Q&A Dataset Summary

Generated on: 2026-01-17 Version: 2.1 Final

📊 Overview

Based on user requirements, we have collected, validated, and deduplicated a high-quality dataset of DevOps Questions & Answers.

Metric	Value
Total Unique Items	7,219
Primary Source	GitHub Repositories (Advanced Search)
Secondary Source	Official Documentation (Docker, K8s, etc.)
Average Quality Score	~0.81
Deduplication	Exact (MD5) + Semantic (BGE-Small)

📁 File Manifest

All files are located in /opt/Data set/output/:

• devops_dataset.jsonl - Main dataset (JSON Lines).
• devops_dataset.parquet - Optimized Parquet format for pandas/polars.
• dataset_metadata.json - Technical metadata (last run stats).

🧩 Data Composition

The dataset covers a wide range of DevOps topics, including but not limited to:

• Kubernetes: Troubleshooting, Configs, Best Practices.
• Docker: Composition, Optimization, Security.
• IaC: Terraform, Ansible, Pulumi.
• CI/CD: GitHub Actions, GitLab CI, Jenkins.
• Monitoring: Prometheus, Grafana, ELK.

🚀 Usage Example (Python)

import pandas as pd

# Load the dataset
df = pd.read_parquet('/opt/Data set/output/devops_dataset.parquet')

# Inspect
print(df.head())
print(df['source'].value_counts())

# Filter high quality
high_quality = df[df['quality_score'] > 0.85]

🛠 Collection Details

• Tools: devops_collector.py (Custom Python Collector)
• Validation: Strict quality rules (length, spam, content safety).
• Dedup: Semantic embedding filtering enabled for new data.