Keep every source together
Replace scattered files and dataset links with one shared inventory.
Bring every training dataset into one reliable workspace
Import from Hugging Face or upload JSONL, normalize common training schemas, and make every record ready for inspection.
Dataset import interactive preview
- alpaca-cleanedHugging Face · 51.8k rowsReady
How the workflow fits together
Large imports continue in the background while your team works. Once records land, they share one searchable structure for filtering, tagging, and downstream analysis.
Choose a source
Connect a Hugging Face dataset or upload a local JSONL file.
Normalize the schema
Map chat, instruction, and content-block formats into consistent records.
Start reviewing
Search, filter, tag, and route imported records into the next workflow.
Catch schema problems early
Surface malformed rows before they reach analysis or training.
Preserve import context
Keep the source and import status attached to every dataset.
Bring your next dataset into focus
Join the waitlist for early access to dataset import and normalization.