REST Resource: projects.locations.datasets

Resource: Dataset

A workspace for solving a single, particular machine learning (ML) problem. A workspace contains examples that may be annotated.

JSON representation
{
  "name": string,
  "displayName": string,
  "description": string,
  "exampleCount": number,
  "createTime": string,
  "etag": string,

  // Union field dataset_metadata can be only one of the following:
  "textClassificationDatasetMetadata": {
    object(TextClassificationDatasetMetadata)
  },
  "textExtractionDatasetMetadata": {
    object(TextExtractionDatasetMetadata)
  },
  "textSentimentDatasetMetadata": {
    object(TextSentimentDatasetMetadata)
  }
  // End of list of possible types for union field dataset_metadata.
}
Fields
name

string

Output only. The resource name of the dataset. Form: projects/{project_id}/locations/{locationId}/datasets/{datasetId}

displayName

string

Required. The name of the dataset to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9.

description

string

User-provided description of the dataset. The description can be up to 25000 characters long.

exampleCount

number

Output only. The number of examples in the dataset.

createTime

string (Timestamp format)

Output only. Timestamp when this dataset was created.

A timestamp in RFC3339 UTC "Zulu" format, accurate to nanoseconds. Example: "2014-10-02T15:01:23.045123456Z".

etag

string

Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

Union field dataset_metadata. Required. The dataset metadata that is specific to the problem type. dataset_metadata can be only one of the following:
textClassificationDatasetMetadata

object(TextClassificationDatasetMetadata)

Metadata for a dataset used for text classification.

textExtractionDatasetMetadata

object(TextExtractionDatasetMetadata)

Metadata for a dataset used for text extraction.

textSentimentDatasetMetadata

object(TextSentimentDatasetMetadata)

Metadata for a dataset used for text sentiment.

TextClassificationDatasetMetadata

Dataset metadata for classification.

JSON representation
{
  "classificationType": enum(ClassificationType)
}
Fields
classificationType

enum(ClassificationType)

Required. Type of the classification problem.

ClassificationType

Type of the classification problem.

Enums
CLASSIFICATION_TYPE_UNSPECIFIED An un-set value of this enum.
MULTICLASS At most one label is allowed per example.
MULTILABEL Multiple labels are allowed for one example.

TextExtractionDatasetMetadata

Dataset metadata that is specific to text extraction

TextSentimentDatasetMetadata

Dataset metadata for text sentiment.

JSON representation
{
  "sentimentMax": number
}
Fields
sentimentMax

number

Required. A sentiment is expressed as an integer ordinal, where higher value means a more positive sentiment. The range of sentiments that will be used is between 0 and sentimentMax (inclusive on both ends), and all the values in the range must be represented in the dataset before a model can be created. sentimentMax value must be between 1 and 10 (inclusive).

Methods

create

Creates a dataset.

delete

Deletes a dataset and all of its contents.

exportData

Exports dataset's data to the provided output location.

get

Gets a dataset.

getIamPolicy

Gets the access control policy for a resource.

importData

Imports data into a dataset.

list

Lists datasets in a project.

patch

Updates a dataset.

setIamPolicy

Sets the access control policy on the specified resource.
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