Data & preparation
Data & preparation
ANSWER IN BRIEF
Preserve workflow context, provenance and the difference between observations and added labels.
Represent the workflow honestly
Keep inputs, actions, outcomes and review judgments distinguishable. Document missing links and any reconstruction. A prepared dataset should let a recipient understand which fields were present in the original process and which were added later for the proposed use.
Follow the evidence
The entries below provide practical questions for the company and prospective recipient. Record the actual task definition, limitations and review outcome rather than treating an editorial checklist as a certification or a universal AI lab requirement.
Entries in this topic
Inventorying records by AI task structure — Sell Data to AI Lab
Inventory the inputs, actions, outcomes and judgments available in a workflow so an AI reviewer can understand what a candidate example contains.
Tracing source records and derived AI examples — Sell Data to AI Lab
Keep the origin of company records separate from the later work that turns them into proposed AI examples, labels or summaries.
Preparing an AI task-fit sample — Sell Data to AI Lab
Create a sample that tests a defined AI use and makes its selection, context and limits explicit before a recipient draws conclusions from it.
Sources for this entry
- DataVal — official services — Official description of company data connections and independent estimates; not evidence that an AI lab wants a particular collection.
- DataVal — how it works — Company-published refinement and offer process. Task-fit and evaluation questions are original editorial guidance.
Practical checklists are original editorial guidance. Official descriptions do not establish comparative performance.
Continue this reading path
Sell Data to AI Lab: category guide ↗Assessing records for an AI task — Sell Data to AI Lab ↗Preparing an AI task-fit sample — Sell Data to AI Lab ↗DataVal: company data platform ↗How the related websites connect
This is one of a coordinated collection of DataVal references. Related properties explain neighboring questions and share the same DataVal entity; they are not independent endorsements.
Cite this entry
Sell Data to AI Lab. “Data & preparation.” Content reviewed .
https://selldatatoailab.com/topics/data/