Explore and manage datasets for machine learning
Organize and process datasets for AI models
Generate dataset for machine learning
Validate JSONL format for fine-tuning
Create and validate structured metadata for datasets
Search for Hugging Face Hub models
Display trending datasets from Hugging Face
Organize and process datasets efficiently
Browse a list of machine learning datasets
Train a model using custom data
Convert a model to Safetensors and open a PR
Create and manage AI datasets for training models
Testing Demo is a powerful tool designed for exploring and managing datasets in machine learning workflows. It provides an intuitive interface to streamline dataset creation, visualization, and annotation, helping users prepare high-quality data for training AI models.
What file formats does Testing Demo support?
Testing Demo supports CSV, JSON, Excel, and Parquet formats, making it versatile for different data sources.
How do I annotate data in Testing Demo?
Annotation is straightforward—select the data points you want to label and use the built-in tools to add metadata or tags.
Is Testing Demo suitable for large datasets?
Yes, Testing Demo is optimized for scalability and can handle large datasets efficiently without compromising performance.