Manage and label your datasets
Organize and process datasets using AI
Browse and search datasets
Manage and orchestrate AI workflows and datasets
A collection of parsers for LLM benchmark datasets
Build datasets and workflows using AI models
Manage and annotate datasets
Build datasets using natural language
Organize and process datasets efficiently
Convert PDFs to a dataset and upload to Hugging Face
Browse TheBloke models' history
Convert a model to Safetensors and open a PR
Transfer datasets from HuggingFace to ModelScope
Test is an AI-powered tool designed for dataset creation and management. It provides seamless functionality for labeling, organizing, and optimizing datasets, making it essential for data-driven projects. With Test, users can efficiently prepare and manage datasets for machine learning models or data analysis tasks.
• Data Import: Easily import data from various sources, including CSV, JSON, and Excel files.
• Labeling Tools: Access advanced labeling options to annotate and categorize data efficiently.
• Data Validation: Check and clean your dataset to ensure accuracy and consistency.
• Collaboration: Work with teams in real-time to manage and label datasets collaboratively.
• Export Options: export labeled datasets in multiple formats for easy integration with other tools.
What file formats does Test support?
Test supports CSV, JSON, Excel, and other common data formats for easy import and export.
Is Test suitable for large datasets?
Yes, Test is designed to handle large-scale datasets and provides optimization tools to manage them efficiently.
Can I use Test for team collaboration?
Absolutely! Test offers real-time collaboration features, allowing multiple users to work on the same dataset simultaneously.