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Platform For AI:GetDatasetJob

Last Updated:Oct 17, 2025

Retrieves a dataset job.

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RAM authorization

The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:

  • Action: The actions can be used in the Action element of RAM permission policy statements to grant permissions to perform the operation.

  • API: The API that you can call to perform the action.

  • Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.

  • Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.

    • For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the Resource element of the policy.

    • For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the Resource element of the policy.

  • Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.

  • Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.

Action

Access level

Resource type

Condition key

Dependent action

paidataset:GetDatasetJob

get

*All Resource

*

None None

Request syntax

GET /api/v1/datasets/{DatasetId}/datasetjobs/{DatasetJobId} HTTP/1.1

Path Parameters

Parameter

Type

Required

Description

Example

DatasetId

string

Yes

The dataset ID. For more information about how to obtain a dataset ID, see ListDatasets.

d-rbvg5*****jhc9ks92

DatasetJobId

string

Yes

The dataset job ID.

dsjob-9jx1xxxxxxuj9e

Request parameters

Parameter

Type

Required

Description

Example

DatasetVersion

string

No

The name of the dataset version.

v1

WorkspaceId

string

No

The workspace ID. For more information about how to obtain a workspace ID, see ListWorkspaces.

478**

Response elements

Element

Type

Description

Example

object

The response struct.

RequestId

string

The request ID.

64B50C1D-D4C2-560C-86A3-A6ED****16D

JobAction

string

The task operation.

Valid values:

  • SemanticIndex :

    The semantic index task.

  • IntelligentTag :

    The intelligent tagging task.

  • FileMetaExport :

    The metadata exporting task.

SemanticIndex

JobMode

string

The task pattern.

Valid values:

  • Full :

    The full pattern.

Full

CreateTime

string

The time when the task was started.

2024-11-15T07:06:42Z

FinishTime

string

The time when the task was finished.

2024-07-16T02:03:23Z

JobSpec

string

The task details.

{\"modelId\":\"xxx\"}

Status

string

The task status.

Valid values:

  • Succeeded :

    The task was successful.

  • Failed :

    The task failed.

  • Running :

    The task is running.

  • Pending :

    The task is pending.

  • PartialFailed :

    The task partially failed.

  • Deleting :

    The task is being deleted.

  • ManuallyStop :

    The task was manually stopped.

Running

Description

string

The task description.

这是一个任务描述。

Logs

array

The list of task logs.

string

A line in the task logs.

2025-02-17 09:58:10.143 INFO: Job completed successfully.

TotalFileCount

integer

The total number of files for the task.

1000

CompletedFileCount

integer

The total number of completed files.

990

FailedFileCount

integer

The total number of failed files.

10

Examples

Success response

JSON format

{
  "RequestId": "64B50C1D-D4C2-560C-86A3-A6ED****16D",
  "JobAction": "SemanticIndex",
  "JobMode": "Full",
  "CreateTime": "2024-11-15T07:06:42Z",
  "FinishTime": "2024-07-16T02:03:23Z",
  "JobSpec": "{\\\"modelId\\\":\\\"xxx\\\"}",
  "Status": "Running",
  "Description": "这是一个任务描述。",
  "Logs": [
    "2025-02-17 09:58:10.143 INFO: Job completed successfully."
  ],
  "TotalFileCount": 1000,
  "CompletedFileCount": 990,
  "FailedFileCount": 10
}

Error codes

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.