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lars 93c4d6b74d Add streaming data pipeline and giant CLI entry point 
- Streaming pipeline: row-group-level parquet reading (PyArrow) so
  large files never fully land in RAM; Welford online algorithm for
  normalizer fitting; StreamingStepsDataset with shuffle buffer and
  multi-worker file striping; event-ID scan and vocab scan via cheap
  single-column reads
- giant/cli.py: typer-based CLI with `giant train` subcommand, mirroring
  scripts/train.py; --shuffle-buffer flag for RAM control
- pyproject.toml: add typer>=0.12 dependency and giant entry point
- train.py: replace len(loader.dataset) with local counters (compatible
  with IterableDataset which has no __len__)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-17 11:03:48 +02:00

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