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Update Dataset Metadata
Updates metadata without creating a new version.
Path parameters
Request body
New name for the dataset
New type for the dataset
Project ID to assign this dataset to (use empty string to unassign).
Response
Successful Response
Train split ratio for this dataset version. Left-to-right split with no shuffle; validation is the tail.
Dataset status: initialized/uploading/converting/validating/ready/failed/generating/queued
Error message if status is failed
Dataset purpose tag: 'training', 'evaluation', or 'benchmark'
Dataset visibility: 'private' or 'public'
Whether this dataset is a competition benchmark
Label names (entity types for NER, class labels for classification)
How the dataset was created: synthesize, upload, auto_relabel, manual_relabel, grow, external
Whether this dataset is a seed dataset (small set for review before full expansion)
UUID of the synthesis log session for this dataset, used to restore creation workflow on resume
Column mapping from original to standard names