Explore datasets on a Nomic Atlas map
Upload files to a Hugging Face repository
Manage and label data for machine learning projects
Build datasets using natural language
Save user inputs to datasets on Hugging Face
Browse and search datasets
Organize and invoke AI models with Flow visualization
Explore and edit JSON datasets
Speech Corpus Creation Tool
Convert PDFs to a dataset and upload to Hugging Face
Display trending datasets and spaces
Create a domain-specific dataset project
Provide feedback on AI responses to prompts
OpenAssistant/oasst1 is a tool designed for dataset creation and exploration. It provides users with the ability to explore datasets on a Nomic Atlas map, making it easier to visualize and interact with data in a geographical context. This tool is particularly useful for researchers, developers, and data enthusiasts who need to work with location-based datasets.
• Interactive Nomic Atlas Map: Explore datasets through an interactive map interface.
• Advanced Data Filtering: Filter datasets based on specific criteria such as location, date, or category.
• Dataset Creation Tools: Create new datasets or modify existing ones with ease.
• Data Visualization: Visualize data points on the map to gain insights and patterns.
• Export Capabilities: Export datasets in various formats for further analysis.
• Cross-Platform Compatibility: Use the tool on different operating systems and devices.
• Community Sharing: Share datasets with the community or collaborate with others on data projects.
What is OpenAssistant/oasst1 primarily used for?
OpenAssistant/oasst1 is primarily used for dataset creation, exploration, and visualization, especially for location-based data. It leverages a Nomic Atlas map to provide an interactive experience.
What file formats are supported for dataset upload?
OpenAssistant/oasst1 supports CSV, JSON, and GeoJSON formats for dataset uploads, making it versatile for various data sources.
Can I use OpenAssistant/oasst1 on multiple platforms?
Yes, OpenAssistant/oasst1 is designed to be cross-platform compatible, allowing you to use it on Windows, macOS, and Linux systems.