Enum VertexDatasetSpec.DataType (1.60.0)

Version 1.60.0

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public enum VertexDatasetSpec.DataType extends Enum<VertexDatasetSpec.DataType> implements ProtocolMessageEnum

Type of data stored in the dataset.

Protobuf enum google.cloud.datacatalog.v1.VertexDatasetSpec.DataType

Implements

ProtocolMessageEnum

Inherited Members

Enum.<T>valueOf(Class<T>,String)

Enum.clone()

Enum.compareTo(E)

Enum.equals(Object)

Enum.finalize()

Enum.getDeclaringClass()

Enum.hashCode()

Enum.name()

Enum.ordinal()

Enum.toString()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields
Name	Description
CONVERSATION	Conversation dataset which supports conversation problems. CONVERSATION = 5;
CONVERSATION_VALUE	Conversation dataset which supports conversation problems. CONVERSATION = 5;
DATA_TYPE_UNSPECIFIED	Should not be used. DATA_TYPE_UNSPECIFIED = 0;
DATA_TYPE_UNSPECIFIED_VALUE	Should not be used. DATA_TYPE_UNSPECIFIED = 0;
DOCUMENT	Document dataset which supports DocumentAnnotation problems. DOCUMENT = 7;
DOCUMENT_VALUE	Document dataset which supports DocumentAnnotation problems. DOCUMENT = 7;
ENTERPRISE_KNOWLEDGE_GRAPH	Enterprise Knowledge Graph dataset which is used for HITL labeling integration. ENTERPRISE_KNOWLEDGE_GRAPH = 11;
ENTERPRISE_KNOWLEDGE_GRAPH_VALUE	Enterprise Knowledge Graph dataset which is used for HITL labeling integration. ENTERPRISE_KNOWLEDGE_GRAPH = 11;
IMAGE	Image dataset which supports ImageClassification, ImageObjectDetection and ImageSegmentation problems. IMAGE = 2;
IMAGE_VALUE	Image dataset which supports ImageClassification, ImageObjectDetection and ImageSegmentation problems. IMAGE = 2;
STORE_VISION	Store Vision dataset which is used for HITL integration. STORE_VISION = 10;
STORE_VISION_VALUE	Store Vision dataset which is used for HITL integration. STORE_VISION = 10;
TABLE	Structured data dataset. TABLE = 1;
TABLE_VALUE	Structured data dataset. TABLE = 1;
TEXT	Document dataset which supports TextClassification, TextExtraction and TextSentiment problems. TEXT = 3;
TEXT_PROMPT	Text prompt dataset which supports Large Language Models. TEXT_PROMPT = 12;
TEXT_PROMPT_VALUE	Text prompt dataset which supports Large Language Models. TEXT_PROMPT = 12;
TEXT_TO_SPEECH	TextToSpeech dataset which supports TextToSpeech problems. TEXT_TO_SPEECH = 8;
TEXT_TO_SPEECH_VALUE	TextToSpeech dataset which supports TextToSpeech problems. TEXT_TO_SPEECH = 8;
TEXT_VALUE	Document dataset which supports TextClassification, TextExtraction and TextSentiment problems. TEXT = 3;
TIME_SERIES	TimeSeries dataset. TIME_SERIES = 6;
TIME_SERIES_VALUE	TimeSeries dataset. TIME_SERIES = 6;
TRANSLATION	Translation dataset which supports Translation problems. TRANSLATION = 9;
TRANSLATION_VALUE	Translation dataset which supports Translation problems. TRANSLATION = 9;
UNRECOGNIZED
VIDEO	Video dataset which supports VideoClassification, VideoObjectTracking and VideoActionRecognition problems. VIDEO = 4;
VIDEO_VALUE	Video dataset which supports VideoClassification, VideoObjectTracking and VideoActionRecognition problems. VIDEO = 4;

Static Methods
Name	Description
forNumber(int value)
getDescriptor()
internalGetValueMap()
valueOf(Descriptors.EnumValueDescriptor desc)
valueOf(int value)	Deprecated. Use #forNumber(int) instead.
valueOf(String name)
values()

Methods
Name	Description
getDescriptorForType()
getNumber()
getValueDescriptor()