For the complete documentation index, see llms.txt. This page is also available as Markdown.

Datasets

Datasets supply {{variable}} values from outside your script, bound when a test plan runs. Same script, different data.

A dataset is a named set of values bound to your tests at run time. One script covers many environments and accounts.

Platforms

Android · iOS

Authored as

YAML key/value, in the Datasets area

Types

string · number · list · object

Nesting

2 levels overall. Deeper is rejected on save

Watch out

Binding happens when a test plan runs, not when you write the script

Prerequisites

  • Drizz desktop app installed and signed in

  • A project containing the tests the dataset will drive

  • A test plan, to bind the dataset to

Copy this

The dataset — shopease_staging:

app_package: com.shopease.android
phone: "9000000000"
otp: "123456"
city: Bangalore
search_term: running shoes

The test that uses it:

A second dataset pointed at production, bound instead, runs the same test there.

Create and bind a dataset

  1. Open the Datasets area of the desktop app.

  2. Author the dataset as YAML key/value pairs.

  3. Save the dataset. Save rejects more than two levels of nesting.

  4. Reference each key in the script as {{key}}.

  5. Open the test plan that runs those tests and select the dataset on its Data set tab.

  6. Confirm the unresolved-variable counter reads zero. A plan can't be saved or run while a variable is unresolved.

Value types

Type
Written as
Notes

String

city: Bangalore

Quote anything that must stay a string

Number

max_items: 5

otp: 012345 unquoted is read as the number 12345

List

categories: [shoes, bags, watches]

Object

user: then an indented email: qa@example.com

Reference as {{user.email}}

Nesting limit

Nesting is capped at two levels overall. This is accepted:

This is rejected on save:

Flatten a third level into the key — user_address_city: Bangalore.

Referencing a variable

Form
Resolves to

{{key}}

The value of that key, anywhere a value goes, in any command

{{key.field}}

A field of an object value

Names are case-sensitive and must match the dataset key exactly.

Binding

Binding happens on the test plan, not in the script. Every {{variable}} in every test in that plan resolves from the bound dataset. The same test case is used by different people testing different cases, so the data belongs to the run rather than the file.

Running a single test from the editor prompts for its variable values for that one run.

A plan that contains variables but has no test data bound at all can misread SET steps. Bind a dataset — an empty one is enough — to any plan whose tests use variables.

Editor behavior

Signal
Meaning

Green token

The variable exists in the selected dataset. Hover shows the bound value

Red token

The variable doesn't exist in the selected dataset. It resolves to nothing, and the run fails several steps later — most often as "element not found"

Autocomplete on {{

Suggests variables visible in the current context. Suggestions are fetched when typing pauses, not on every keystroke. Selecting one places the cursor after the closing }}

Autocomplete isn't a complete list of everything a plan might bind. The dataset is the source of truth.

Data that can't be shared

Login credentials, phone numbers and accounts mid-flow can't be used by two runs at the same time. Mark the dataset a lockable pool so each parallel run leases its own row. See Lockable pools.

Common mistakes

What you write
What happens

otp: 012345 unquoted

Read as the number 12345. The leading zero is gone

{{Phone}} when the key is phone

Renders red, resolves to nothing

Three levels of YAML nesting

Rejected on save. Flatten the key

Picking a dataset while writing the script

There's nothing to pick. Binding happens on the plan

OPEN_APP {{shopease_staging}} — the dataset name

Corrupts the value. Reference the key, not the dataset

A plan with variables and no dataset bound

SET steps can be misread. Bind one, even an empty one

Next


Last updated: 6 August 2026

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