Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Embed and use ZeroEval for evaluation tasks
Search and save datasets generated with a LLM in real time
Transfer GitHub repositories to Hugging Face Spaces
Explore token probability distributions with sliders
Make RAG evaluation dataset. 100% compatible to AutoRAG
Browse and compare Indic language LLMs on a leaderboard
Display and manage data in a clean table format
Explore and submit NER models
Analyze and visualize data with various statistical methods
Try the Hugging Face API through the playground
Explore tradeoffs between privacy and fairness in machine learning models
Generate synthetic dataset files (JSON Lines)
Dataset Migrator is an AI-powered tool designed to simplify the process of migrating datasets from popular platforms like GitHub or Kaggle to Hugging Face Hub. It allows users to seamlessly transfer datasets while maintaining their structure and metadata, making it a valuable tool for data scientists and researchers.
What happens if my dataset is very large?
The Dataset Migrator handles large datasets efficiently by breaking them into manageable chunks during transfer. This ensures smooth migration even for big files.
Can I resume a failed migration?
Yes, the tool includes features to resume a migration from where it left off, minimizing data loss and saving time.
Does the Dataset Migrator support other platforms besides GitHub and Kaggle?
Currently, the tool focuses on GitHub and Kaggle. However, support for other platforms may be added in future updates.