| 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 |
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|
| @dataclass |
| class ProntoQAProblem: |
| question: str |
| query: str |
| chain_of_thought: List[str] |
| answer: str |
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|
| @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')""" |
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|
| @dataclass |
| class ProntoQADataset: |
| examples: Dict[str, ProntoQAExample] = field(default_factory=dict) |
| |
|
|
| @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()) |
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| |
| if __name__ == "__main__": |
| pronto_qa_dataset = ProntoQADataset.from_file('/Users/xiyan/Downloads/345hop_random_true.json') |
|
|
| for example in pronto_qa_dataset: |
| print(example) |