Upload CSV files to Hugging Face
Upload files to a Hugging Face repository
Browse TheBloke models' history
Data annotation for Sparky
Train a model using custom data
Explore and edit JSON datasets
ReWrite datasets with a text instruction
Create a large, deduplicated dataset for LLM pre-training
Manage and label datasets for your projects
Evaluate evaluators in Grounded Question Answering
Organize and process datasets using AI
Display translation benchmark results from NTREX dataset
The Advertising Dataset Uploader is a tool designed to simplify the process of uploading CSV files to the Hugging Face dataset library. It allows users to efficiently manage and share datasets, particularly those related to advertising campaigns, customer behavior, or marketing analytics. This tool is ideal for data scientists, analysts, and researchers who need to make their datasets accessible for machine learning projects or collaborative work.
• CSV Upload to Hugging Face: Seamlessly upload your advertising datasets in CSV format directly to the Hugging Face platform.
• User-Friendly Interface: An intuitive design that makes it easy to upload datasets with minimal setup.
• Large File Support: Handles large CSV files, ensuring your datasets are uploaded efficiently.
• Data Preview: Provides a preview of the data before upload to ensure accuracy.
• Integration with Hugging Face Ecosystem: Leverages the Hugging Face platform for data versioning, sharing, and collaboration.
• Secure and Reliable: Ensures your datasets are uploaded securely and stored reliably.
What file formats does the Advertising Dataset Uploader support?
The tool primarily supports CSV files. Other formats may be added in future updates.
Can I upload multiple CSV files at once?
Currently, the tool allows uploading one CSV file at a time. For bulk uploads, consider using the Hugging Face API directly.
Where are my datasets stored after upload?
All uploaded datasets are stored on the Hugging Face platform, where you can manage, share, and version them securely.