Manage and label your datasets
Explore recent datasets from Hugging Face Hub
Create a large, deduplicated dataset for LLM pre-training
Convert a model to Safetensors and open a PR
Build datasets using natural language
Manage and label data for machine learning projects
A collection of parsers for LLM benchmark datasets
Explore and manage datasets for machine learning
Create datasets with FAQs and SFT prompts
Manage and label datasets for your projects
Upload files to a Hugging Face repository
Display trending datasets from Hugging Face
Generate a Parquet file for dataset validation
Argilla Space is a powerful tool designed for dataset creation and management. It provides a comprehensive platform to manage and label datasets, making it an essential solution for data professionals and machine learning practitioners. The tool simplifies the process of organizing, annotating, and preparing datasets for various applications.
What types of data can I work with in Argilla Space?
Argilla Space supports a wide range of data formats, including text, images, and audio, making it versatile for various machine learning tasks.
Can I use Argilla Space with my existing ML tools?
Yes, Argilla Space is designed to integrate seamlessly with popular machine learning frameworks and pipelines.
How do I ensure data quality in Argilla Space?
Argilla Space provides built-in analytics and quality tracking features to help you monitor and improve your dataset's quality throughout the creation process.