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,
)