Bugs Bunny Eval Builder
Search for Hugging Face Hub models
Build datasets using natural language
Colabora para conseguir un Carnaval de Cádiz más accesible
Build datasets using natural language
Upload files to a Hugging Face repository
Annotation Tool
Create and validate structured metadata for datasets
Organize and process datasets using AI
Organize and process datasets for AI models
Display trending datasets and spaces
Generate synthetic datasets for AI training
Explore and edit JSON datasets
BugsBunny EvalBuilder is a specialized tool designed for creating and updating questions for the BugsBunny benchmark. It is tailored for dataset creation and management, particularly in the context of natural language processing (NLP) tasks. This tool simplifies the process of developing and refining evaluation datasets to assess AI models effectively.
• Custom Question Design: Create and edit questions specific to your evaluation needs.
• Collaborative Editing: Multiple users can work together on dataset creation.
• Version Control: Track changes and manage different versions of your datasets.
• Automated Validation: Ensure questions meet predefined criteria before finalization.
• Export Capabilities: Easily export datasets in various formats for further use.
• Integration with AI Models: Directly test and refine questions against AI models.
What is the BugsBunny benchmark?
The BugsBunny benchmark is a standard for evaluating AI models, particularly in NLP tasks, using a carefully curated set of questions.
Can I collaborate with others in real-time?
Yes, BugsBunny EvalBuilder supports real-time collaboration, allowing multiple users to work on the same dataset simultaneously.
What file formats are supported for export?
The tool supports several formats, including JSON, CSV, and TXT, to ensure compatibility with various AI frameworks.