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from datasets import Dataset, load_dataset |
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from opencompass.registry import LOAD_DATASET, TEXT_POSTPROCESSORS |
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from ..base import BaseDataset |
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@TEXT_POSTPROCESSORS.register_module('gsm100_dataset') |
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def gsm100_dataset_postprocess(text: str) -> str: |
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return text.replace(',', '') |
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@TEXT_POSTPROCESSORS.register_module('gsm100') |
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def gsm100_postprocess(text: str) -> str: |
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segs = text.split('The answer is') |
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if len(segs) < 2: |
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return '' |
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text = segs[1] |
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text = text.split(' ') |
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flag = False |
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ret = '' |
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for i in range(len(text)): |
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s = text[i] |
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for i in range(len(s)): |
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if s[i].isdigit(): |
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flag = True |
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ret = s |
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break |
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if flag: |
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break |
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ret1 = '' |
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for i in range(len(ret)): |
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if ret[i].isdigit(): |
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ret1 += ret[i] |
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return ret1 |
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@LOAD_DATASET.register_module() |
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class LEvalGSM100Dataset(BaseDataset): |
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@staticmethod |
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def load(**kwargs): |
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dataset = load_dataset(**kwargs) |
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split = 'test' |
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raw_data = [] |
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for i in range(len(dataset[split])): |
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instructions = dataset[split]['instructions'][i] |
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outputs = dataset[split]['outputs'][i] |
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context = dataset[split]['input'][i] |
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for question, answer in zip(instructions, outputs): |
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raw_data.append({ |
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'question': question, |
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'context': context, |
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'answer': answer |
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}) |
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dataset[split] = Dataset.from_list(raw_data) |
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return dataset |
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