APIDatasets

Deploy Dataset

Deploy Dataset to Environment.

Set the deployed version for the specified Environment.

Path parameters

idstringRequired

Unique identifier for Dataset.

environment_idstringRequired

Unique identifier for the Environment to deploy the Version to.

Headers

X-API-KEYstringRequired

Query parameters

version_idstringRequired

Unique identifier for the specific version of the Dataset.

Response

Successful Response

pathstring

Path of the Dataset, including the name, which is used as a unique identifier.

idstring

Unique identifier for the Dataset. Starts with ds_.

namestring

Name of the Dataset, which is used as a unique identifier.

version_idstring

Unique identifier for the specific Dataset Version. If no query params provided, the default deployed Dataset Version is returned. Starts with dsv_.

created_atdatetime
updated_atdatetime
statusenum

The status of the Dataset Version.

Allowed values:
last_used_atdatetime
datapoints_countinteger

The number of Datapoints in this Dataset version.

directory_idstringOptional

ID of the directory that the file is in on Humanloop.

descriptionstringOptional

Description of the Dataset.

readmestringOptional

Long description of the file.

tagslist of stringsOptional

List of tags associated with the file.

type"dataset"OptionalDefaults to dataset
environmentslist of objectsOptional

The list of environments the Dataset Version is deployed to.

created_byanyOptional

The user who created the Dataset.

committed_byanyOptional

The user who committed the Dataset Version.

committed_atdatetimeOptional

The date and time the Dataset Version was committed.

commit_messagestringOptional

Message describing the changes made. If provided, a committed version of the Dataset is created. Otherwise, an uncommitted version is created.

datapointslist of objectsOptional

The list of Datapoints in this Dataset version. Only provided if explicitly requested.

attributesmap from strings to anyOptional

Additional fields to describe the Dataset. Helpful to separate Dataset versions from each other with details on how they were created or used.

Errors