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* add lveval benchmark * add LVEval readme file * update LVEval readme file * Update configs/eval_bluelm_32k_lveval.py * Update configs/eval_llama2_7b_lveval.py --------- Co-authored-by: yuantao <yuantao@infini-ai.com> Co-authored-by: Mo Li <82895469+DseidLi@users.noreply.github.com>
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
from datasets import Dataset, load_dataset
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from opencompass.registry import LOAD_DATASET
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from ..base import BaseDataset
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@LOAD_DATASET.register_module()
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class LVEvalmultifieldqazhDataset(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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question = dataset[split]['input'][i]
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context = dataset[split]['context'][i]
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answers = dataset[split]['answers'][i]
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confusing_facts = dataset[split]['confusing_facts'][i]
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answer_keywords = dataset[split]['answer_keywords'][i]
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answers_with_ak = answers + [answer_keywords]
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raw_data.append({
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'input': question,
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'context': context,
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'answers': answers_with_ak,
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'confusing_facts': confusing_facts,
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'answer_keywords': answer_keywords,
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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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