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)