Datasets And Examples

Operator uploads 5,000 examples to a new dataset via client.create_examples in a single call.

Batch upload via create_examples(dataset_id=..., inputs=[...], outputs=[...]) with parallel iterables of equal length. If the SDK / REST imposes a per-call size cap, page in chunks (e.g., 1000) and persist progress so a mid-upload failure can resume by example index. Verify final dataset row count …

Operator wants 80/10/10 train/test/validation splits on a 10,000-row dataset so experiments can target a specific split.

Set 'split' on each example at create time (or via update_examples) with values like ['train'], ['test'], ['validation'] — splits are arrays so a single example can carry multiple labels. Filter via evaluate(..., splits=['test']) in subsequent experiments. Deterministic split assignment (seeded has…

An example's expected output is corrected after a labeling error is found. An experiment run two weeks ago referenced the prior version.

Edit via client.update_example or update_examples — LangSmith versions examples and the prior experiment retains its reference to the version that ran. New experiments default to the latest version. Document any historical version pin used for compliance reproductions.