class_docstr: A Dataset that wraps existing ndarrays, Tensors, lists... to provide
  basic Dataset functionalities. Very similar to TensorDataset.
class_docstr_tok: ["A","Dataset","that","wraps","existing","ndarrays",",","Tensors",",","lists","...","to","provide","basic","Dataset","functionalities",".","Very","similar","to","TensorDataset","."]
code: def __getitem__(self, idx):
      return tuple(seq[idx] for seq in self._sequences)
  
imports: from abc import ABC, abstractmethod
  import bisect
  import copy
  from typing import Iterator, overload
  from typing_extensions import final
  import numpy
  from numpy import ndarray
  from torch import Tensor
  from torch.utils.data import Subset
  from .dataset_definitions import IDatasetWithTargets
  from typing import Sequence, List, Iterable, Union, Optional, TypeVar, Callable, Generic
label_desc: Use image node_id 2 for calling the SequenceDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: tuple