Create and upload files to a Hugging Face dataset
Display trending datasets and spaces
Create and validate structured metadata for datasets
Upload files to a Hugging Face repository
A collection of parsers for LLM benchmark datasets
Provide feedback on AI responses to prompts
Search narrators and view network connections
Organize and process datasets efficiently
Create datasets with FAQs and SFT prompts
Review and rate queries
Access NLPre-PL dataset and pre-trained models
Support by Parquet, CSV, Jsonl, XLS
Speech Corpus Creation Tool
Repo Sync Example is a tool designed to assist in creating and uploading files to a Hugging Face dataset. It simplifies the process of dataset creation by providing a straightforward way to synchronize and manage your data, ensuring that your datasets are properly formatted and readily available for use in machine learning projects. This tool is particularly useful for users who want to streamline their dataset creation workflow and ensure consistency across their projects.
What is the main purpose of Repo Sync Example?
Repo Sync Example is primarily used to create and upload files to a Hugging Face dataset, streamlining the dataset creation process.
How do I configure my Hugging Face credentials?
You can configure your credentials by creating a config.json file in the root directory of your project, containing your Hugging Face token and username.
Can I use Repo Sync Example for existing datasets?
Yes, Repo Sync Example supports both new and existing datasets, allowing you to easily update or modify your datasets as needed.