# DatasetSource
<a name="API_DatasetSource"></a>

 The source that Amazon Rekognition Custom Labels uses to create a dataset. To use an Amazon Sagemaker format manifest file, specify the S3 bucket location in the `GroundTruthManifest` field. The S3 bucket must be in your AWS account. To create a copy of an existing dataset, specify the Amazon Resource Name (ARN) of an existing dataset in `DatasetArn`.

You need to specify a value for `DatasetArn` or `GroundTruthManifest`, but not both. if you supply both values, or if you don't specify any values, an InvalidParameterException exception occurs. 

For more information, see [CreateDataset](API_CreateDataset.md).

## Contents
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 ** DatasetArn **   <a name="rekognition-Type-DatasetSource-DatasetArn"></a>
 The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy.   
Type: String  
Length Constraints: Minimum length of 20. Maximum length of 2048.  
Pattern: `(^arn:[a-z\d-]+:rekognition:[a-z\d-]+:\d{12}:project\/[a-zA-Z0-9_.\-]{1,255}\/dataset\/(train|test)\/[0-9]+$)`   
Required: No

 ** GroundTruthManifest **   <a name="rekognition-Type-DatasetSource-GroundTruthManifest"></a>
The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest file.   
Type: [GroundTruthManifest](API_GroundTruthManifest.md) object  
Required: No

## See Also
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For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\$1\$1](https://docs.aws.amazon.com/goto/SdkForCpp/rekognition-2016-06-27/DatasetSource) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/rekognition-2016-06-27/DatasetSource) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/rekognition-2016-06-27/DatasetSource)