Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Generate synthetic dataset files (JSON Lines)
Calculate VRAM requirements for running large language models
Analyze Shark Tank India episodes
Analyze autism data and generate detailed reports
Display and analyze PyTorch Image Models leaderboard
Analyze and visualize your dataset using AI
Generate a data profile report
Check your progress in a Deep RL course
More advanced and challenging multi-task evaluation
Leaderboard for text-to-video generation models
Launch Argilla for data labeling and annotation
Multilingual metrics for the LMSys Arena Leaderboard
Dataset Migrator is a powerful tool designed to streamline the process of migrating datasets from platforms like GitHub or Kaggle to the Hugging Face Hub. It simplifies data management and ensures a seamless transition, maintaining the integrity and structure of your datasets throughout the migration process.
• Easy Migration: Effortlessly transfer datasets from GitHub or Kaggle to Hugging Face Hub. • Preservation of Metadata: Ensures all dataset metadata, descriptions, and tags are retained during migration. • Integration with Hugging Face Hub: Directly publish datasets to Hugging Face Hub, making them accessible for machine learning projects. • User-Friendly Interface: Intuitive design for a smooth user experience. • Scalability: Supports migration of large datasets without performance issues.
• What platforms are supported for dataset migration?
Supported platforms include GitHub and Kaggle, with datasets being migrated directly to Hugging Face Hub.
• Can I migrate large datasets using Dataset Migrator?
Yes, Dataset Migrator is designed to handle large datasets efficiently, ensuring smooth migration without performance issues.
• How do I ensure data integrity during migration?
Dataset Migrator automatically preserves metadata, descriptions, and tags, ensuring data integrity throughout the migration process.
• Is Dataset Migrator free to use?
Please refer to the official documentation or website for licensing and pricing details.