Update
Browse files- Custom_SQuAD.py +2 -1
Custom_SQuAD.py
CHANGED
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@@ -106,6 +106,7 @@ class ShellcodeIA32(datasets.GeneratorBasedBuilder):
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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my_urls = _URLs[self.config.name]
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data_dir = dl_manager.download_and_extract("https://huggingface.co/datasets/Serhii/Custom_SQuAD/blob/main/Dataset.json")
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# return [
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# datasets.SplitGenerator(
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# name=datasets.Split.TRAIN,
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@@ -166,7 +167,7 @@ class ShellcodeIA32(datasets.GeneratorBasedBuilder):
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# The `key` is here for legacy reason (tfds) and is not important in itself.
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"""This function returns the examples in the raw (text) form."""
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print(f"FILEPATH ------------------ {filepath}")
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df = pd.
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train = df.sample(frac = 0.8, random_state = 0)
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test = df.drop(train.index)
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dev = test.sample(frac = 0.5, random_state = 0)
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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my_urls = _URLs[self.config.name]
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data_dir = dl_manager.download_and_extract("https://huggingface.co/datasets/Serhii/Custom_SQuAD/blob/main/Dataset.json")
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data_dir = "/home/pc/Dev/HF_Datasets/Custom_SQuAD/Dataset.json"
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# return [
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# datasets.SplitGenerator(
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# name=datasets.Split.TRAIN,
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# The `key` is here for legacy reason (tfds) and is not important in itself.
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"""This function returns the examples in the raw (text) form."""
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print(f"FILEPATH ------------------ {filepath}")
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df = pd.read_json(filepath, delimiter = '\t')
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train = df.sample(frac = 0.8, random_state = 0)
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test = df.drop(train.index)
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dev = test.sample(frac = 0.5, random_state = 0)
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