Specify a data transformation

Describe mapping and validation before building a pipeline.

What this starting point does

Specify how to transform the supplied source data into the requested target. This is an editable instruction template, not a claim of tested performance on a particular model.

Make the inputs yours

• Reference material — fill {{MATERIAL}} with your own material, preserving line breaks where useful. This input is required for a filled prompt.

Reusable template

## Task
Specify how to transform the supplied source data into the requested target.

## Constraints
- Keep confirmed mappings separate from assumptions.
- Describe handling of missing, invalid, and duplicate values.
- Preserve identifiers unless a change is explicitly requested.

## Output format
Mapping table, transformation rules, validation examples, and unresolved decisions

## Reference material
<source_material>
{{MATERIAL}}
</source_material>

A filled example

This example uses fictional demonstration material. It is an example prompt, not a generated answer or image.

## Task
Specify how to transform the supplied source data into the requested target.

## Constraints
- Keep confirmed mappings separate from assumptions.
- Describe handling of missing, invalid, and duplicate values.
- Preserve identifiers unless a change is explicitly requested.

## Output format
Mapping table, transformation rules, validation examples, and unresolved decisions

## Reference material
<source_material>
Source: customer_id, email, signup_date. Target: customer_id and normalized_email. Missing-email handling requires a decision.
</source_material>

Before using it

Review every instruction and replace the example material. Check that its constraints fit your task. The structural Analyzer can flag specific issues, but cannot verify facts or guarantee the quality of a model’s response.