Update from code changes: streaming dataloader docs#299
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Summary
Documents the new
StreamingDatasetPyTorchIterableDatasetfor elastic, resumable training on LanceDB tables.Changes
training/streaming.mdxcovering when to use it, distributed training, checkpoint resume, prefilters, columns, transforms, I/O tuning, and multi-worker caveats.docs.json.Context
Upstream shipped
lancedb.streaming.StreamingDataset, which streams rows from a LanceDB table with two guarantees: elastic determinism (the samples in each global step are identical regardless ofworld_size/num_workers) and topology-independent resumability viastate_dict()/load_state_dict().