docstr: Get a Dataset
docstr_tok: ["Get","a","Dataset"]
code: def get_all(
      self,
      context: AuthedServiceContext,
      page_size: Optional[int] = 0,
      page_index: Optional[int] = 0,
  ) -> Union[DatasetPageView, DictTuple[str, Dataset], SyftError]:
      """Get a Dataset"""
      result = self.stash.get_all(context.credentials)
      if not result.is_ok():
          return SyftError(message=result.err())
  
      datasets = result.ok()
  
      for dataset in datasets:
          dataset.node_uid = context.node.id
  
      return _paginate_dataset_collection(
          datasets=datasets, page_size=page_size, page_index=page_index
      )
  
imports: from collections.abc import Collection
  from typing import List
  from typing import Optional
  from typing import Union
  from ...serde.serializable import serializable
  from ...store.document_store import DocumentStore
  from ...types.dicttuple import DictTuple
  from ...types.uid import UID
  from ...util.telemetry import instrument
  from ..action.action_permissions import ActionObjectPermission
  from ..action.action_permissions import ActionPermission
  from ..context import AuthedServiceContext
  from ..response import SyftError
  from ..response import SyftSuccess
  from ..service import AbstractService
  from ..service import SERVICE_TO_TYPES
  from ..service import TYPE_TO_SERVICE
  from ..service import service_method
  from ..user.user_roles import DATA_OWNER_ROLE_LEVEL
  from ..user.user_roles import DATA_SCIENTIST_ROLE_LEVEL
  from ..user.user_roles import GUEST_ROLE_LEVEL
  from ..warnings import CRUDReminder
  from ..warnings import HighSideCRUDWarning
  from .dataset import Asset
  from .dataset import CreateDataset
  from .dataset import Dataset
  from .dataset import DatasetPageView
  from .dataset_stash import DatasetStash
label_desc: Use image node_id 3 for calling the DatasetService obj's underlying member method code with example usage: obj.get_all(context, page_size, page_index) and returns: _paginate_dataset_collection, SyftError