SubmitQuestions2
Create a domain-specific dataset seed
Save user inputs to datasets on Hugging Face
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List of French datasets not referenced on the Hub
Download datasets from a URL
Create a domain-specific dataset project
Label data for machine learning models
Create a report in BoAmps format
Data annotation for Sparky
Manage and label data for machine learning projects
Create and manage AI datasets for training models
Upload files to a Hugging Face repository
SubmitQuestions2 is a specialized tool designed for dataset creation, enabling users to submit detailed questions for the development of benchmark datasets. It streamlines the process of generating high-quality questions, ensuring they are relevant, clear, and well-structured for various applications in machine learning and AI research.
• Customizable Templates: Pre-designed question templates to save time and ensure consistency.
• Real-Time Validation: Instant feedback to verify question clarity and adherence to guidelines.
• Collaborative Editing: Multi-user collaboration to refine and improve questions.
• Version Control: Track changes and maintain different versions of your questions.
• AI-Powered Suggestions: Smart suggestions to enhance question phrasing and accuracy.
• Export Capabilities: Easily export questions in multiple formats for further use.
What is the purpose of SubmitQuestions2?
SubmitQuestions2 is designed to help users create and submit high-quality questions for benchmark datasets, which are essential for training and evaluating AI models.
Do I need special permissions to use SubmitQuestions2?
Yes, access to SubmitQuestions2 is typically restricted to authorized users. Contact your organization's admin to gain access.
How do I handle rejected questions?
If your questions are rejected, review the feedback provided and revise them according to the guidelines. Resubmit your revised questions for approval.