def make_german_eat_test_curriculum( num_samples: Optional[int], noise_objects: Optional[int], language_generator: LanguageGenerator[HighLevelSemanticsSituation, LinearizedDependencyTree], ) -> Phase1InstanceGroup: object_to_eat = standard_object("object_0", required_properties=[EDIBLE]) eater = standard_object( "eater_0", THING, required_properties=[ANIMATE], banned_properties=[IS_SPEAKER, IS_ADDRESSEE], ) background = make_noise_objects(noise_objects) return phase1_instances( "german-eating", chain(*[ sampled( make_eat_template(eater, object_to_eat, background), max_to_sample=num_samples if num_samples else 5, ontology=GAILA_PHASE_1_ONTOLOGY, chooser=PHASE1_CHOOSER_FACTORY(), ) ]), language_generator=language_generator, )
def test_eat_simple(language_mode, learner): object_to_eat = standard_object("object_0", required_properties=[EDIBLE]) eater = standard_object( "eater_0", THING, required_properties=[ANIMATE], banned_properties=[IS_SPEAKER, IS_ADDRESSEE], ) run_verb_test( learner(language_mode), make_eat_template(eater, object_to_eat), language_generator=phase1_language_generator(language_mode), )
def make_animal_eat_curriculum( num_samples: Optional[int], noise_objects: Optional[int], language_generator: LanguageGenerator[HighLevelSemanticsSituation, LinearizedDependencyTree], ) -> Phase1InstanceGroup: object_to_eat = standard_object("object_0", required_properties=[EDIBLE]) animal = standard_object("eater_0", NONHUMAN_ANIMAL) background = make_noise_objects(noise_objects) return phase1_instances( "Animal-Eat-Curriculum", # Fressen sampled( make_eat_template(animal, object_to_eat, background), max_to_sample=num_samples if num_samples else 5, ontology=GAILA_PHASE_1_ONTOLOGY, chooser=PHASE1_CHOOSER_FACTORY(), ), language_generator=language_generator, )
def make_human_eat_curriculum( num_samples: Optional[int], noise_objects: Optional[int], language_generator: LanguageGenerator[HighLevelSemanticsSituation, LinearizedDependencyTree], ) -> Phase1InstanceGroup: object_to_eat = standard_object("object_0", required_properties=[EDIBLE]) human = standard_object("eater_0", PERSON, banned_properties=[IS_SPEAKER, IS_ADDRESSEE]) background = make_noise_objects(noise_objects) return phase1_instances( "Human-Eat-Curriculum", # Essen sampled( make_eat_template(human, object_to_eat, background), max_to_sample=num_samples if num_samples else 5, ontology=GAILA_PHASE_1_ONTOLOGY, chooser=PHASE1_CHOOSER_FACTORY(), block_multiple_of_the_same_type=True, ), language_generator=language_generator, )