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59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
from datasets import Dataset, DatasetDict
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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 TriviaQArcDataset(BaseDataset):
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@staticmethod
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def load(path: str):
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import json
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import os
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dataset_dict = DatasetDict()
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split = 'dev'
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dev_list = []
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web_dev = os.path.join(path, 'qa', 'verified-web-dev.json')
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with open(web_dev, 'r') as f:
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web_dev_json = json.load(f)
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for x in web_dev_json['Data']:
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cand_answers = x['Answer']['Aliases'] + x['Answer']['HumanAnswers']
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question = x['Question']
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evidence = ''
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if x['SearchResults']:
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x_path = os.path.join(path, 'evidence', 'web',
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x['SearchResults'][0]['Filename'])
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with open(x_path, 'r') as f:
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evidence = f.read(100000)
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dev_list.append({
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'answer': cand_answers,
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'question': question,
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'evidence': evidence,
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})
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wiki_dev = os.path.join(path, 'qa', 'verified-wikipedia-dev.json')
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with open(wiki_dev, 'r') as f:
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wiki_dev_json = json.load(f)
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for x in wiki_dev_json['Data']:
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cand_answers = x['Answer']['Aliases']
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question = x['Question']
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evidence = ''
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if x['EntityPages']:
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x_path = os.path.join(path, 'evidence', 'wikipedia',
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x['EntityPages'][0]['Filename'])
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with open(x_path, 'r') as f:
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evidence = f.read(100000)
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dev_list.append({
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'answer': cand_answers,
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'question': question,
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'evidence': evidence,
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})
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dataset_dict[split] = Dataset.from_list(dev_list)
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return dataset_dict
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