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Is a sufficiency workflow just a yes or no classification task?

Real sufficiency work involves policy lookup, partial results, request drafting and re-assessment on resubmission, so datasets should carry more than a binary label.

**Is it just a yes or no label?**

No. A binary label is the smallest part of the work. A dataset or task pack for this workflow could also carry the following.

- **Policy lookup.** Which document rules apply to this case type, product or jurisdiction, and which version of the policy was in force. - **Partial outcomes.** Some documents are accepted, some rejected, some missing. A single yes or no loses that. - **Request drafting.** The message sent to the other party, which has to name the item, the reason and the acceptable form. - **Re-assessment.** A resubmission arrives, sometimes fixing one gap and introducing another, and the case has to be judged again. - **Exceptions.** A manager waiver, a documented alternative, or a case that should be escalated and not requested.

**Why does this matter to a reseller?**

Customers who buy a data product described as a classifier benchmark will be disappointed when they find drafting and multi-turn state. Customers who need those things will skip a product described too narrowly.

**Can a buyer still get a simple label?**

Yes. A flat export with a single outcome column can be derived from the richer records. Ask for both views so your customers can start simple and move to full task packs later.

All content is generated, so ask for a sample and inspect it before you commit.

Describe this to customers as a multi-step judgement task, so they do not mistake it for a simple classifier benchmark.

Audience:
Licensed resellers
Content type:
FAQ
Buyer question:
What it is and why it matters

Content release: r-a220eb6e099b243b

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