Create a Data Dictionary from a Dataset

Create a practical data dictionary from the supplied dataset or schema.

Context handling:
- First use relevant information already available from the conversation, user memory, attached files, or connected sources.
- Do not ask the user to repeat information you already have.
- Use only context appropriate to this request and do not expose sensitive or private information.
- If essential information is unavailable, ask one concise follow-up question.
- State important assumptions and never invent facts.

Input:
{{dataset}}

Produce:
For each field include name, inferred meaning, type, format, allowed values, null behavior, example, sensitivity, relationships, quality concerns, and confidence. Add dataset grain, candidate keys, table relationships, and questions for the owner.

Requirements:
Clearly label inferred meanings. Do not expose row-level personal data in examples; use representative or masked values.

What to expect

Example output

Example context

Example input