def load_data_single_split()

in datasets.py [0:0]


    def load_data_single_split(self, split: str, seed: int = None) -> List[InputExample]:
        """
        Load data for a single split (train, dev, or test).
        """
        examples = []
        file_path = os.path.join(self.data_dir(), f'{split}.json')

        with open(file_path, 'r') as f:
            data = json.load(f)
            logging.info(f"Loaded {len(data)} sentences for split {split} of {self.name}")

            for i, x in enumerate(data):
                entities = []
                relations = []

                for y in x['spo_details']:
                    entity1_start, entity1_end, entity1_type, relation_type, \
                        entity2_start, entity2_end, entity2_type = y

                    entity1 = Entity(type=self.entity_types[entity1_type], start=entity1_start, end=entity1_end)
                    entity2 = Entity(type=self.entity_types[entity2_type], start=entity2_start, end=entity2_end)

                    try:
                        i1 = entities.index(entity1)
                    except ValueError:
                        # add entity to the list
                        i1 = len(entities)
                        entities.append(entity1)

                    try:
                        i2 = entities.index(entity2)
                    except ValueError:
                        # add entity to the list
                        i2 = len(entities)
                        entities.append(entity2)

                    relation = Relation(
                        type=self.relation_types[relation_type], head=entities[i1], tail=entities[i2],
                    )

                    relations.append(relation)

                tokens = x['tokens']

                example = InputExample(
                    id=f'{split}-{i}',
                    tokens=tokens,
                    entities=entities,
                    relations=relations,
                )

                examples.append(example)

        return examples