Personalize / Client / describe_dataset

describe_dataset#

Personalize.Client.describe_dataset(**kwargs)#

Describes the given dataset. For more information on datasets, see CreateDataset.

Request Syntax

response = client.describe_dataset(
    datasetArn='string'
)

Parameters:

datasetArn (string) –

[REQUIRED]

The Amazon Resource Name (ARN) of the dataset to describe.

Return type:

dict

Returns:

Response Syntax

{
    'dataset': {
        'name': 'string',
        'datasetArn': 'string',
        'datasetGroupArn': 'string',
        'datasetType': 'string',
        'schemaArn': 'string',
        'status': 'string',
        'creationDateTime': datetime(2015, 1, 1),
        'lastUpdatedDateTime': datetime(2015, 1, 1)
    }
}

Response Structure

(dict) –
- dataset (dict) –
  
  A listing of the dataset’s properties.
  - name (string) –
    
    The name of the dataset.
  - datasetArn (string) –
    
    The Amazon Resource Name (ARN) of the dataset that you want metadata for.
  - datasetGroupArn (string) –
    
    The Amazon Resource Name (ARN) of the dataset group.
  - datasetType (string) –
    
    One of the following values:
    - Interactions
    - Items
    - Users
  - schemaArn (string) –
    
    The ARN of the associated schema.
  - status (string) –
    
    The status of the dataset.
    
    A dataset can be in one of the following states:
    - CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
    - DELETE PENDING > DELETE IN_PROGRESS
  - creationDateTime (datetime) –
    
    The creation date and time (in Unix time) of the dataset.
  - lastUpdatedDateTime (datetime) –
    
    A time stamp that shows when the dataset was updated.

Exceptions

Personalize.Client.exceptions.InvalidInputException
Personalize.Client.exceptions.ResourceNotFoundException