unsloth/studio/backend/core
Daniel Han eb15b31e3e studio: improve training progress messages for large datasets
Add granular status updates through the full preprocessing pipeline:
- "Downloading dataset: Open-Orca/OpenOrca..." before HF download
- "Downloaded Open-Orca/OpenOrca (4,233,923 rows)" after download
- "Formatting dataset (4,233,923 rows)..." before format step
- "Applying chat template to chatml_conversations (4,233,923 rows)..."
- "Dataset ready (4,233,923 samples, chatml_conversations format)"

Shows detected format name and row counts at each stage so users
can see progress through large dataset preprocessing instead of
a static "Loading and formatting dataset..." for minutes.
2026-03-16 15:03:58 +00:00
..
data_recipe Improve AI Assist: Update default model, model output parsing, logging, and dataset mapping UX (#4323) 2026-03-16 16:04:35 +04:00
export Final cleanup 2026-03-12 18:28:04 +00:00
inference [pre-commit.ci] auto fixes from pre-commit.com hooks 2026-03-16 14:22:06 +00:00
training studio: improve training progress messages for large datasets 2026-03-16 15:03:58 +00:00
__init__.py Final cleanup 2026-03-12 18:28:04 +00:00