ZBEditor
Review and rate queries
Create datasets with FAQs and SFT prompts
Organize and process datasets for AI models
Annotation Tool
Browse and view Hugging Face datasets from a collection
Organize and process datasets using AI
Perform OSINT analysis, fetch URL titles, fine-tune models
Save user inputs to datasets on Hugging Face
Label data efficiently with ease
List of French datasets not referenced on the Hub
Upload files to a Hugging Face repository
Search and find similar datasets
ZBEditor is a specialized tool designed for dataset creation, specifically for submitting or updating questions with images. It empowers users to streamline the process of building and refining datasets, making it easier to manage and enhance data quality.
• Image Handling: Supports the submission and update of questions that include images.
• Dataset Customization: Allows users to tailor datasets to specific requirements.
• User-Friendly Interface: Designed to simplify the dataset creation process.
• Efficient Management: Enables quick updates and modifications to existing datasets.
What file formats does ZBEditor support for images?
ZBEditor supports common image formats such as JPEG, PNG, and GIF.
How many questions can I submit at once?
The number of questions you can submit at once depends on the platform's limits, but ZBEditor allows batch submissions for efficiency.
Do I need special training to use ZBEditor?
No, ZBEditor is designed to be user-friendly. Basic familiarity with dataset creation tools is sufficient to get started.