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from dataclasses import dataclass, field
from typing import List, Dict, Iterator, Mapping
import json
from dataclasses import dataclass, field
from typing import List, Dict, Iterator, Union
@dataclass
class ProntoQAProblem:
question: str
query: str
chain_of_thought: List[str]
answer: str
@dataclass
class ProntoQAExample:
in_context_examples: Mapping[str, ProntoQAProblem]
test_example: ProntoQAProblem = field(default=None)
"""
ProntoQAProblem(question='Every cat is a feline. Mammals are vertebrates. Bilaterians are animals. Vertebrates are chordates. Carnivores are mammals. Mammals are not cold-blooded. Each chordate is a bilaterian. Every feline is a carnivore. Snakes are cold-blooded. Animals are not unicellular. Every carnivore is not herbivorous. Fae is a cat.', query='True or false: Fae is not cold-blooded.', chain_of_thought=['Fae is a cat.', 'Every cat is a feline.', 'Fae is a feline.', 'Every feline is a carnivore.', 'Fae is a carnivore.', 'Carnivores are mammals.', 'Fae is a mammal.', 'Mammals are not cold-blooded.', 'Fae is not cold-blooded.'], answer='True')"""
@dataclass
class ProntoQADataset:
examples: Dict[str, ProntoQAExample] = field(default_factory=dict)
# "example1": ..., "example2": ..., ...
@classmethod
def from_file(cls, file_path: str) -> 'ProntoQADataset':
instance = cls()
with open(file_path, 'r') as f:
raw_data = json.load(f)
for example_key, example_value in raw_data.items():
all_examples = {
k: ProntoQAProblem(
question=e["question"],
query=e["query"],
chain_of_thought=e["chain_of_thought"],
answer=e["answer"]
) for k, e in example_value.items()
}
test_example = all_examples.pop('test_example', None)
in_context_examples = []
instance.examples[example_key] = ProntoQAExample(in_context_examples, test_example)
return instance
def __iter__(self) -> Iterator[Union[ProntoQAProblem, ProntoQAExample]]:
return iter(self.examples.values())
# Sample usage
if __name__ == "__main__":
pronto_qa_dataset = ProntoQADataset.from_file('/Users/xiyan/Downloads/345hop_random_true.json')
for example in pronto_qa_dataset:
print(example) |