MarvHins/abfall-von-obst-und-gemuse-optik

Abfall von Obst und Gemüse (Optik)

High-quality synthetic dataset for machine learning and data analysis.

📊 Dataset Overview

• Rows: 500,000 (sample: 1,000)
• Columns: 10
• Quality Score: 98%
• Format: CSV
• Type: 100% Synthetic

🎯 Features

• Datum
• Sammlungsort
• Art
• Menge
• Kosten
• Verkaufswert
• Umsatz
• Gewinn
• Lagerungskosten
• Verbrauch

💡 Use Cases

• 🤖 Machine learning model training
• 📊 Data analysis and visualization
• 🔬 Algorithm development
• 📚 Education and research
• 🧪 Testing and prototyping

✅ Quality & Privacy

• LLM-validated quality score: 98%
• 100% synthetic - no real personal data
• GDPR compliant by design
• Privacy-safe for all applications

🚀 Quick Start

from datasets import load_dataset

dataset = load_dataset("MarvHins/abfall-von-obst-und-gemüse-(optik)")
df = dataset['train'].to_pandas()

print(df.head())
print(df.info())

📝 License

CC BY 4.0 - Free to use with attribution

💰 Get Full Dataset

This is a sample preview (1,000 rows).

🔗 Purchase Full Dataset (500,000 rows) →

Price includes:

• Complete dataset (500,000 rows)
• All 10 features
• Commercial license
• Instant download

👤 Author

Marvin Hinske | 2025

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This is a sample preview (1,000 rows). Full dataset available for purchase.