argilla-test
Build datasets using natural language
Upload files to a Hugging Face repository
Create and validate structured metadata for datasets
Build datasets and workflows using AI models
Search narrators and view network connections
Create a large, deduplicated dataset for LLM pre-training
Manage and analyze datasets with AI tools
Evaluate evaluators in Grounded Question Answering
Create a domain-specific dataset project
Download datasets from a URL
Save user inputs to datasets on Hugging Face
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.