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generator + scorer Api for MMLU
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14 changed files with 618 additions and 131 deletions
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@ -25,23 +25,27 @@ class CustomDataset(BaseDataset[DictSample]):
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self.load()
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return (DictSample(data=x) for x in self.dataset)
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def __str__(self):
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def __str__(self) -> str:
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return f"CustomDataset({self.config})"
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def __len__(self):
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def __len__(self) -> int:
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if not self.dataset:
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self.load()
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return len(self.dataset)
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def load(self):
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def load(self, n_samples: Optional[int] = None) -> None:
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if self.dataset:
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return
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# TODO: better support w/ data url
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if self.config.url.endswith(".csv"):
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df = pandas.read_csv(self.config.url)
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elif self.config.url.endswith(".xlsx"):
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df = pandas.read_excel(self.config.url)
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if n_samples is not None:
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df = df.sample(n=n_samples)
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self.dataset = Dataset.from_pandas(df)
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