Profile a dataset and publish the report on Hugging Face
Explore speech recognition model performance
Evaluate diversity in data sets to improve fairness
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Explore and filter model evaluation results
Display a treemap of languages and datasets
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Try the Hugging Face API through the playground
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Explore tradeoffs between privacy and fairness in machine learning models
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Dataset Profiling is a powerful tool designed to help users analyze and understand their datasets. It provides detailed insights into data distribution, patterns, and statistics, enabling better decision-making and data preparation. By profiling a dataset, users can identify missing values, outliers, and trends, ensuring data quality and readiness for further processing or modeling.
• Automated Data Analysis: Generate comprehensive reports on data statistics, distributions, and correlations. • Data Quality Check: Identify missing values, duplicates, and anomalies in the dataset. • Visual Representation: Create interactive plots and charts to visualize data distributions and relationships. • Customizable Reporting: Tailor the profiling process to focus on specific data features or metrics. • Integration with Hugging Face: Publish and share dataset profiles directly on the Hugging Face platform.
What types of datasets can I profile?
You can profile datasets in various formats, including CSV, JSON, and Excel. The tool supports both numerical and categorical data.
How long does profiling take?
Profiling time depends on the size and complexity of the dataset. Small datasets are typically processed in seconds, while larger datasets may take a few minutes.
Can I customize the profiling process?
Yes, you can customize the profiling process by selecting specific features or metrics to focus on, allowing you to tailor the analysis to your needs.