Dataset README Generator: Explain Your Data with AI

Give your dataset a clear README in a minute: what it is, what each column means and what to watch out for.

Shared data without a README leads to the same questions again and again: what is this, what does this column mean, can I trust it? A good README answers them before anyone asks.

The generator builds a summary of your file in your browser, then asks your AI to write the README from it. You get an overview, a table of columns, data quality notes, suggested uses and limitations.

The README is based on real statistics from your data, so it is more useful than a generic template. You can edit it before you download README.md.

Open the Dataset README Generator

How to use the Dataset README Generator: step by step

1. Open the Dataset README Generator.
2. Paste your Gemini API key.
3. Load your file and set the dataset title.
4. Click Generate README, edit it, then download README.md.

When to use the Dataset README Generator

• Publishing a dataset on GitHub or Kaggle
• Handing data to another team
• Documenting an export for future you
• Preparing data for a course or a demo

Tip: Read the README once before you share it. The AI can only guess what unclear column names mean.