Question Form
Create and validate structured metadata for datasets
Label data for machine learning models
Generate dataset for machine learning
Organize and process datasets using AI
Generate synthetic datasets for AI training
Create a large, deduplicated dataset for LLM pre-training
Browse and extract data from Hugging Face datasets
Launch and explore labeled datasets
Perform OSINT analysis, fetch URL titles, fine-tune models
Browse and search datasets
Create Reddit dataset
SubmitQuestions is a dataset creation tool designed to help users create and manage questions for various datasets. It offers a straightforward interface for generating, organizing, and updating questions, making it an essential tool for dataset development and curation.
• Question Creation: Easily design and formulate questions for your datasets.
• Custom Attributes: Add multiple-choice options, tags, or descriptions to questions.
• Question Organization: Group questions by categories or topics for better management.
• Edit Functionality: Update or modify existing questions without starting over.
• Import/Export: Export questions for use in other tools or import pre-built templates.
• Real-Time Validation: Ensure questions are clear and well-structured before saving.
• AI Suggestions: Get intelligent suggestions to improve question phrasing or clarity.
What types of questions can I create with SubmitQuestions?
You can create multiple-choice, true/false, open-ended, and rating-scale questions.
How do I edit a question after saving it?
Click on the question in your dataset list, make changes, and save again to update.
Can I import existing questions from another source?
Yes, use the import feature to upload questions from CSV or JSON files.