Create and upload files to a Hugging Face dataset
Annotation Tool
Browse TheBloke models' history
Evaluate evaluators in Grounded Question Answering
Display trending datasets and spaces
Browse a list of machine learning datasets
Display instructional dataset
Support by Parquet, CSV, Jsonl, XLS
Organize and process datasets efficiently
Upload files to a Hugging Face repository
Create and validate structured metadata for datasets
Organize and invoke AI models with Flow visualization
Browse and extract data from Hugging Face datasets
Repo Sync Example is a tool designed to create and upload files to a Hugging Face dataset. It simplifies the process of managing and syncing repositories, making it easier to work with datasets in a structured and efficient manner.
• Automated Syncing: Seamlessly synchronize files between local repositories and Hugging Face datasets.
• File Management: Easily upload and organize files in a structured format.
• Version Control: Track changes and maintain different versions of your dataset.
• Integration: Compatible with Hugging Face datasets for seamless workflow integration.
What is the purpose of Repo Sync Example?
Repo Sync Example is designed to simplify the process of creating and managing datasets on Hugging Face by automating file uploads and syncing.
Can I sync files bidirectionally?
No, Repo Sync Example currently supports one-way syncing from a local repository to a Hugging Face dataset.
What types of files are supported?
The tool supports a variety of file types, including text, CSV, JSON, and image files, making it versatile for different dataset needs.