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In this article:

  • class yandex_cloud_ml_sdk._datasets.status.DatasetStatus
  • class yandex_cloud_ml_sdk._datasets.dataset.ValidationErrorInfo
  • class yandex_cloud_ml_sdk._datasets.schema.DatasetUploadSchema
  1. Yandex Cloud ML SDK
  2. SDK reference
  3. Types
  4. Datasets

Datasets

Written by
Yandex Cloud
Updated at November 7, 2025
  • class yandex_cloud_ml_sdk._datasets.status.DatasetStatus
  • class yandex_cloud_ml_sdk._datasets.dataset.ValidationErrorInfo
  • class yandex_cloud_ml_sdk._datasets.schema.DatasetUploadSchema

class yandexcloudmlsdk.datasets.status.DatasetStatusclass yandex_cloud_ml_sdk._datasets.status.DatasetStatus

Enumeration representing the status of a dataset.

The statuses correspond to the different states a dataset can be in during its lifecycle.

UNKNOWN = -1

the status of the dataset is unknown; this is typically used as a fallback when the status cannot be determined

STATUS_UNSPECIFIED = 0

the status has not been specified; this is often used as a default value when creating or initializing a dataset

DRAFT = 1

the dataset is in a draft state; this means it is still being created or modified

VALIDATING = 2

the dataset is currently undergoing validation

READY = 3

the dataset is ready for use; it has passed all necessary validations and can be utilized in operations

INVALID = 4

the dataset is considered invalid; this may occur if it fails validation

DELETING = 5

the dataset is in the process of being deleted

__new__(value)

class yandexcloudmlsdk.datasets.dataset.ValidationErrorInfoclass yandex_cloud_ml_sdk._datasets.dataset.ValidationErrorInfo

This class represents information about a validation error.

error: str

the error message

description: str

a description of the error

rows: tuple[int]... ,

a tuple of row numbers associated with the error

class yandexcloudmlsdk.datasets.schema.DatasetUploadSchemaclass yandex_cloud_ml_sdk._datasets.schema.DatasetUploadSchema

This class represents the schema for uploading datasets.

task_type: str

the type of task associated with the dataset

upload_format: str

the format in which the dataset is uploaded

raw_schema: str

the raw schema definition in string format

property json: JsonSchemaType

Get the JSON representation of the raw schema.

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