AWS::Personalize::Dataset

Creates an empty dataset and adds it to the specified dataset group. Use CreateDatasetImportJob to import your training data to a dataset.

There are 5 types of datasets:

• Item interactions

• Items

• Users

• Action interactions (you can't use CloudFormation to create an Action interactions dataset)

• Actions (you can't use CloudFormation to create an Actions dataset)

Each dataset type has an associated schema with required field types. Only the Item interactions dataset is required in order to train a model (also referred to as creating a solution).

A dataset can be in one of the following states:

• CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

• DELETE PENDING > DELETE IN_PROGRESS

To get the status of the dataset, call DescribeDataset.

Related APIs

• CreateDatasetGroup

• ListDatasets

• DescribeDataset

• DeleteDataset

Syntax

To declare this entity in your AWS CloudFormation template, use the following syntax:

JSON

{
  "Type" : "AWS::Personalize::Dataset",
  "Properties" : {
      "DatasetGroupArn" : String,
      "DatasetImportJob" : DatasetImportJob,
      "DatasetType" : String,
      "Name" : String,
      "SchemaArn" : String
    }
}

YAML

Type: AWS::Personalize::Dataset
Properties:
  DatasetGroupArn: String
  DatasetImportJob: 
    DatasetImportJob
  DatasetType: String
  Name: String
  SchemaArn: String

Properties

DatasetGroupArn

The Amazon Resource Name (ARN) of the dataset group.

Required: Yes

Type: String

Pattern: arn:([a-z\d-]+):personalize:.*:.*:.+

Maximum: 256

Update requires: Replacement

DatasetImportJob

Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. If you specify a dataset import job as part of a dataset, all dataset import job fields are required.

Required: No

Type: DatasetImportJob

Update requires: No interruption

DatasetType

One of the following values:

• Interactions

• Items

• Users

Note

You can't use CloudFormation to create an Action Interactions or Actions dataset.

Required: Yes

Type: String

Allowed values: Interactions | Items | Users

Maximum: 256

Update requires: Replacement

Name

The name of the dataset.

Required: Yes

Type: String

Pattern: ^[a-zA-Z0-9][a-zA-Z0-9\-_]*

Minimum: 1

Maximum: 63

Update requires: Replacement

SchemaArn

The ARN of the associated schema.

Required: Yes

Type: String

Pattern: arn:([a-z\d-]+):personalize:.*:.*:.+

Maximum: 256

Update requires: Replacement

Return values

Ref

When you pass the logical ID of this resource to the intrinsic Ref function, Ref returns the name of the resource.

For more information about using the Ref function, see Ref.

Fn::GetAtt

The Fn::GetAtt intrinsic function returns a value for a specified attribute of this type. The following are the available attributes and sample return values.

For more information about using the Fn::GetAtt intrinsic function, see Fn::GetAtt.

DatasetArn

The Amazon Resource Name (ARN) of the dataset.

Examples

Creating a dataset

The following example creates an Amazon Personalize dataset and a dataset import job. The dataset import job imports data from an Amazon S3 bucket into the dataset.

JSON

{
  "AWSTemplateFormatVersion": "2010-09-09",
  "Resources": {
    "MyDataset": {
      "Type": "AWS::Personalize::Dataset",
      "Properties": {
        "Name": "my-dataset-name",
        "DatasetType": "Interactions",
        "DatasetGroupArn": "arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name",
        "SchemaArn": "arn:aws:personalize:us-west-2:123456789012:schema/schema-name",
        "DatasetImportJob": {
          "JobName": "my-import-job-name",
          "DataSource": {
            "DataLocation": "s3://bucket-name/file-name.csv"
          },
          "RoleArn": "arn:aws:iam::123456789012:role/personalize-role"
        }
      }
    }
  }
}

YAML

AWSTemplateFormatVersion: 2010-09-09
Resources:
  MyDataset:
    Type: 'AWS::Personalize::Dataset'
    Properties:
      Name: my-dataset-name
      DatasetType: Interactions
      DatasetGroupArn: 'arn:aws:personalize:us-west-2:123456789012:dataset-group/dataset-group-name'
      SchemaArn: 'arn:aws:personalize:us-west-2:123456789012:schema/schema-name'
      DatasetImportJob:
        JobName: my-import-job-name
        DataSource:
          DataLocation: 's3://bucket-name/file-name.csv'
        RoleArn: 'arn:aws:iam::123456789012:role/personalize-role'