datawebotAI training data
Build datasets from source-attributed ecommerce records.
Collect bounded product observations with identifiers, variants, provenance and explicit missing values.
01 / DATAAttributed records
02 / YOUR WORKFLOWFilter + label + validate
03 / OUTPUTGoverned dataset
AI training data · field handoffWorkflow design
| Input | Review rule |
|---|---|
| Product and variant identifiers retained as strings. | Define licensing, retention and permitted training use for every source. |
| Titles, descriptions, image links, prices and observed availability where reported. | Treat source text and HTML as untrusted data during dataset processing. |
| Schema version, source URL, retrieval time, warnings and completeness. | Measure dataset quality independently; extraction provenance is not a model-accuracy claim. |
Use repeated, independently authorized extractions as raw observations for a dataset pipeline you control. Preserve retrieval time and source identity before labeling, filtering or training.