http://personalize.{region}.amazonaws.com/#X-Amz-Target=AmazonPersonalize.CreateDataset<p>Creates an empty dataset and adds it to the specified dataset group. Use <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetImportJob.html">CreateDatasetImportJob</a> to import your training data to a dataset.</p> <p>There are three types of datasets:</p> <ul> <li> <p>Interactions</p> </li> <li> <p>Items</p> </li> <li> <p>Users</p> </li> </ul> <p>Each dataset type has an associated schema with required field types. Only the <code>Interactions</code> dataset is required in order to train a model (also referred to as creating a solution).</p> <p>A dataset can be in one of the following states:</p> <ul> <li> <p>CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED</p> </li> <li> <p>DELETE PENDING > DELETE IN_PROGRESS</p> </li> </ul> <p>To get the status of the dataset, call <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataset.html">DescribeDataset</a>.</p> <p class="title"> <b>Related APIs</b> </p> <ul> <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetGroup.html">CreateDatasetGroup</a> </p> </li> <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_ListDatasets.html">ListDatasets</a> </p> </li> <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataset.html">DescribeDataset</a> </p> </li> <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DeleteDataset.html">DeleteDataset</a> </p> </li> </ul>
{
"success": true,
"data": {
"id": "abc123",
"created_at": "2025-01-01T00:00:00Z"
}
}{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters"
}
}1curl --request POST \2 --url 'http://personalize.{region}.amazonaws.com/#X-Amz-Target=AmazonPersonalize.CreateDataset' \3 --header 'accept: application/json' \4 --header 'content-type: application/json'1{2 "success": true,3 "data": {4 "id": "abc123",5 "created_at": "2025-01-01T00:00:00Z"6 }7}http://personalize.{region}.amazonaws.com/#X-Amz-Target=AmazonPersonalize.CreateDataset<p>Creates an empty dataset and adds it to the specified dataset group. Use <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetImportJob.html">CreateDatasetImportJob</a> to import your training data to a dataset.</p> <p>There are three types of datasets:</p> <ul> <li> <p>Interactions</p> </li> <li> <p>Items</p> </li> <li> <p>Users</p> </li> </ul> <p>Each dataset type has an associated schema with required field types. Only the <code>Interactions</code> dataset is required in order to train a model (also referred to as creating a solution).</p> <p>A dataset can be in one of the following states:</p> <ul> <li> <p>CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED</p> </li> <li> <p>DELETE PENDING > DELETE IN_PROGRESS</p> </li> </ul> <p>To get the status of the dataset, call <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataset.html">DescribeDataset</a>.</p> <p class="title"> <b>Related APIs</b> </p> <ul> <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetGroup.html">CreateDatasetGroup</a> </p> </li> <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_ListDatasets.html">ListDatasets</a> </p> </li> <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataset.html">DescribeDataset</a> </p> </li> <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DeleteDataset.html">DeleteDataset</a> </p> </li> </ul>
{
"success": true,
"data": {
"id": "abc123",
"created_at": "2025-01-01T00:00:00Z"
}
}{
"success": false,
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid request parameters"
}
}1curl --request POST \2 --url 'http://personalize.{region}.amazonaws.com/#X-Amz-Target=AmazonPersonalize.CreateDataset' \3 --header 'accept: application/json' \4 --header 'content-type: application/json'1{2 "success": true,3 "data": {4 "id": "abc123",5 "created_at": "2025-01-01T00:00:00Z"6 }7}