Bugs Bunny Eval Builder
Display instructional dataset
Validate JSONL format for fine-tuning
Upload files to a Hugging Face repository
Create a large, deduplicated dataset for LLM pre-training
Annotation Tool
Save user inputs to datasets on Hugging Face
Browse and view Hugging Face datasets from a collection
Manage and label data for machine learning projects
Create a report in BoAmps format
Explore recent datasets from Hugging Face Hub
Create and manage AI datasets for training models
Upload files to a Hugging Face repository
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.