Bugs Bunny Eval Builder
Browse a list of machine learning datasets
Validate JSONL format for fine-tuning
Transfer datasets from HuggingFace to ModelScope
Clean and process datasets
Browse and view Hugging Face datasets from a collection
Access NLPre-PL dataset and pre-trained models
Support by Parquet, CSV, Jsonl, XLS
Browse and extract data from Hugging Face datasets
Rename models in dataset leaderboard
Display instructional dataset
Annotation Tool
ReWrite datasets with a text instruction
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.