Display instructional dataset
Build datasets using natural language
Create Reddit dataset
Colabora para conseguir un Carnaval de Cádiz más accesible
Organize and process datasets using AI
Create and manage AI datasets for training models
Validate JSONL format for fine-tuning
Train a model using custom data
Browse and view Hugging Face datasets
Manage and label datasets for your projects
Create a large, deduplicated dataset for LLM pre-training
Upload files to a Hugging Face repository
Viewer Embed is a tool designed for displaying instructional datasets. It allows users to embed datasets into applications or interfaces, making it easier to view and interact with the data. This tool is particularly useful for data visualization, training, and educational purposes.
• Dataset Embedding: Seamlessly integrate datasets into any application or interface.
• User-Friendly Interface: Easy-to-use interface for non-technical users.
• Customization Options: Adjust the appearance and layout of the embedded dataset.
• Real-Time Updates: Reflect changes in the dataset immediately.
• Compatibility: Supports various data formats and integrates with multiple platforms.
• Collaboration Tools: Share and collaborate on datasets with team members.
1. What formats does Viewer Embed support?
Viewer Embed supports CSV, JSON, Excel, and other common data formats.
2. Can I customize the appearance of the embedded dataset?
Yes, Viewer Embed offers customization options to match your application's design.
3. Is Viewer Embed suitable for real-time data?
Yes, Viewer Embed supports real-time updates, making it ideal for dynamic datasets.