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37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
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import os.path as osp
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from typing import List
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from datasets import 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 LLMCompressionDataset(BaseDataset):
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@staticmethod
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def load(path: str, name: List[str] = None, samples: int = None):
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# Check if file exists in the given path
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supported_extensions = ['json', 'jsonl']
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for ext in supported_extensions:
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filename = osp.join(
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path, f'{name}.{ext}') # name refers to data subset name
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if osp.exists(filename):
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break
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else:
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raise FileNotFoundError(f'{filename} not found.')
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samples = 'test' if samples is None else f'test[:{samples}]'
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data_files = {'test': filename}
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dataset = load_dataset('json', data_files=data_files, split=samples)
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# Filter out empty samples
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dataset = dataset.filter(lambda example: len(example['content']) > 0)
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return dataset
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