class_docstr: Load from the Open Graph Benchmark (OGB).
class_docstr_tok: ["Load","from","the","Open","Graph","Benchmark","(","OGB",")","."]
docstr: Compose the mapped triples tensor for the given dataset and split.
docstr_tok: ["Compose","the","mapped","triples","tensor","for","the","given","dataset","and","split","."]
code: def _compose_mapped_triples(
      self,
      data_dict: PreprocessedTrainDictType | PreprocessedEvalDictType,
  ) -> numpy.ndarray:
      """Compose the mapped triples tensor for the given dataset and split."""
      raise NotImplementedError
  
imports: from __future__ import annotations
  import abc
  import logging
  import pathlib
  import typing
  from typing import ClassVar, Generic, Literal, Optional, Sequence, TypedDict, TypeVar, Union, cast, overload
  import click
  import numpy
  import pandas
  import torch
  from docdata import parse_docdata
  from more_click import verbose_option
  from .base import LazyDataset
  from ..triples import TriplesFactory
  from ..typing import EntityMapping, RelationMapping
label_desc: Use image node_id 9 for calling the OGBLoader obj's underlying member method code with example usage: obj._compose_mapped_triples(data_dict) without return types