Dataset Documentation Generator

Document a dataset in minutes: overview, column table and notes in a README.md made from your CSV, Excel, JSON or Parquet file. Free, own Gemini key.

Quick answer: Get a README.md that explains what your CSV, Excel, JSON or Parquet dataset is about.

Related: Dataset README Generator · README for a CSV Dataset · Test Data Guides and Free Generators

How to use the Dataset Documentation Generator

Get a README.md that explains what your CSV, Excel, JSON or Parquet dataset is about.

The Dataset README Generator writes a README.md that explains your data: what it contains, how many rows and columns, and what each column means. It is built from statistics of your file and uses your own Gemini key. Add it to a repository, a shared drive or a data catalog so the next person understands the dataset. Read it once before sharing.

  1. Add your AI key
  2. Load your file
  3. Generate and edit the README

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Example

Input: data.parquet

Output: README.md with column descriptions

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Who uses Data Utility

Frequently asked questions · Data format benchmark

Frequently asked questions

Who is this for?

Data teams who share datasets and want the next person to understand them, for example in a repository, a shared drive or a data catalog.

Is the full file sent to Gemini?

No. Only column names, types and statistics are sent, using your own key.

What is sent to Google Gemini?

Column names, types, statistics and, if you allow it, a few sample values. Your full file is never sent.

Will the README be accurate?

It is based on statistics from your data. Always read it once, because the AI may guess the meaning of unclear columns.

What is the Data README generator?

It writes a README.md that explains what your dataset is about, with a table of columns, based on statistics from your file. Read it once before sharing, because the AI may guess the meaning of unclear columns.

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