MarvHins/abbruche-von-videos-drop-off-points

Abbrüche von Videos (Drop-off points) |

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

📊 Dataset Overview

• Rows: 500,000 (sample: 1,000)
• Columns: 12
• Quality Score: 98%
• Format: CSV
• Type: 100% Synthetic

🎯 Features

• id
• video_id
• title
• duration
• views
• category
• region
• upload_date
• popularity_score
• engagement_score
• ... and 2 more

💡 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/abbrüche-von-videos-(drop-off-points)-|")
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 12 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.