argilla-test
Create and manage AI datasets for training models
Convert PDFs to a dataset and upload to Hugging Face
Browse and extract data from Hugging Face datasets
Data annotation for Sparky
Generate dataset for machine learning
Organize and process datasets for AI models
Find and view synthetic data pipelines on Hugging Face
Clean and process datasets
Review and rate queries
Save user inputs to datasets on Hugging Face
Manage and annotate datasets
Create a domain-specific dataset seed
My Argilla is a tool designed to help users load and explore datasets for annotation. It is part of the Argilla suite, focusing specifically on dataset creation to streamline the data preparation process for machine learning tasks.
• Dataset Loading: Easily import datasets in various formats.
• Data Exploration: View and examine datasets to understand their structure and content.
• Supported Formats: Works with popular data formats including CSV, JSON, and more.
• Data Filtering: Narrow down data to focus on specific elements.
• Data Sorting: Arrange data to facilitate analysis and annotation.
• User-Friendly Interface: Intuitive design for seamless dataset management.
What file formats does My Argilla support?
My Argilla supports CSV, JSON, and other common data formats.
Can I annotate data directly within My Argilla?
Yes, My Argilla allows you to annotate datasets to prepare them for machine learning tasks.
How do I export my dataset after annotation?
After annotating, you can export the dataset in the same format it was loaded, ready for use in your machine learning pipeline.