# generation ## dataset Create a new dataset based on an expression. If no flags are provided, the CLI will interactively walk you through them ``` tkio generation dataset ```

Flags	Description
--name	Name of dataset
--product	Name of product
--location	Google Cloud Storage URI to store data
--aoi	Local geojson file that determines the area to include in the dataset
--expression	Expression used to create each tile of the dataset
--date	Date of dataset (YYYY-MM-DD)
--tile-size	Pixel width and height of each tile
--crs	CRS code to use
--res	Resolution used to compute tiles
--no-data	Value to replace NaN values
--dtype	Data type of dataset
--create-doc	Create dataset config (true/false)
--skip-test	Skip testing the expression (true/false)
--server	Server to compute dataset on (eu/au/us)

## ai-dataset Create a randomly sampled ai dataset for use in training machine learning models. Provides matching input (x) and output (y) samples. ``` tkio generation ai-dataset ```

Flags	Description
--location	Google Cloud Storage URI to store data
--aoi	Local geojson file that determines the area to randomly sample from
--expression-x	Expression used for input samples
--filter-x	Expression used to filter random sample (should return a bool value)
--filter-x-rate	Fraction of samples that the filter is applied to (0-1)
--expression-y	Expression used for output samples
--filter-y	Expression used to filter random sample (should return a bool value)
--filter-y-rate	Fraction of samples that the filter is applied to (0-1)
--samples	Number of samples to compute
--tile-size	Pixel height and width of each sample
--crs	Crs of each sample
--res	Resolution used to compute each sample
--server	Server location (au/eu/us)
--start-year	Starting year of years to randomly sample from
--end-year	Ending year of years to randomly sample from

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