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74 lines
2 KiB
Python
74 lines
2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import pandas
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from datasets import Dataset, load_dataset
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from llama_stack.apis.dataset import * # noqa: F403
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class CustomDataset(BaseDataset[DictSample]):
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def __init__(self, config: CustomDatasetDef) -> None:
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super().__init__()
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self.config = config
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self.dataset = None
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self.index = 0
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@property
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def dataset_id(self) -> str:
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return self.config.identifier
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def __iter__(self) -> Iterator[DictSample]:
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if not self.dataset:
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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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return f"CustomDataset({self.config})"
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def __len__(self):
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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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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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self.dataset = Dataset.from_pandas(df)
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class HuggingfaceDataset(BaseDataset[DictSample]):
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def __init__(self, config: HuggingfaceDatasetDef):
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super().__init__()
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self.config = config
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self.dataset = None
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@property
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def dataset_id(self) -> str:
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return self.config.identifier
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def __iter__(self) -> Iterator[DictSample]:
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if not self.dataset:
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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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return f"HuggingfaceDataset({self.config})"
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def __len__(self):
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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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if self.dataset:
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return
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self.dataset = load_dataset(self.config.dataset_name, **self.config.kwargs)
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