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62 lines
1.5 KiB
Python
62 lines
1.5 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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from abc import ABC, abstractmethod
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from urllib.parse import parse_qs, urlparse
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import pandas
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from datasets import Dataset, load_dataset
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class BaseDataset(ABC):
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def __init__(self, name: str):
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self.dataset = None
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self.dataset_id = name
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self.type = self.__class__.__name__
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def __iter__(self):
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return iter(self.dataset)
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@abstractmethod
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def load(self):
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pass
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class CustomDataset(BaseDataset):
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def __init__(self, name, url):
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super().__init__(name)
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self.url = url
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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.url.endswith(".csv"):
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df = pandas.read_csv(self.url)
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elif self.url.endswith(".xlsx"):
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df = pandas.read_excel(self.url)
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self.dataset = Dataset.from_pandas(df)
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class HFDataset(BaseDataset):
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def __init__(self, name, url):
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super().__init__(name)
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self.url = url
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def load(self):
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if self.dataset:
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return
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parsed = urlparse(self.url)
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if parsed.scheme != "hf":
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raise ValueError(f"Unknown HF dataset: {self.url}")
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query = parse_qs(parsed.query)
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query = {k: v[0] for k, v in query.items()}
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path = parsed.netloc
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self.dataset = load_dataset(path, **query)
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