Explore datasets on a Nomic Atlas map
Create and validate structured metadata for datasets
Launch and explore labeled datasets
Data annotation for Sparky
Create a report in BoAmps format
Explore and manage datasets for machine learning
Build datasets using natural language
Perform OSINT analysis, fetch URL titles, fine-tune models
Support by Parquet, CSV, Jsonl, XLS
Manage and annotate datasets
Transfer datasets from HuggingFace to ModelScope
A collection of parsers for LLM benchmark datasets
Display instructional dataset
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.