Bugs Bunny Eval Builder
Upload files to a Hugging Face repository
Manage and label datasets for your projects
Perform OSINT analysis, fetch URL titles, fine-tune models
Transfer datasets from HuggingFace to ModelScope
Launch and explore labeled datasets
Create and validate structured metadata for datasets
Upload files to a Hugging Face repository
Convert PDFs to a dataset and upload to Hugging Face
Annotation Tool
Upload files to a Hugging Face repository
Train a model using custom data
A collection of parsers for LLM benchmark datasets
BugsBunny EvalBuilder is a specialized tool designed for creating and updating questions for the BugsBunny benchmark. It is primarily used in the context of dataset creation, making it an essential resource for developers and researchers working on datasets and benchmarks.
• Question Creation: Easily design and formulate questions for evaluation purposes.
• Question Updating: Modify existing questions to refine their clarity or relevance.
• Multi-Data Type Support: Handle various data formats and question types.
• Conditional Formatting: Apply specific conditions or constraints to questions.
• Integration Capabilities: Seamlessly integrate with existing datasets and benchmarks.
What is BugsBunny EvalBuilder used for?
BugsBunny EvalBuilder is used to create and update questions for the BugsBunny benchmark, aiding in dataset creation and evaluation tasks.
Can I add conditional logic to questions?
Yes, BugsBunny EvalBuilder supports conditional formatting, allowing you to set specific conditions or constraints for your questions.
What data types does BugsBunny EvalBuilder support?
The tool supports multiple data types, ensuring compatibility with diverse dataset requirements.