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from datasets import load_dataset, DatasetDict |
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dataset_config = { |
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"LOADING_SCRIPT_FILES": "policies.py", |
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"CONFIG_NAME": "plain_text", |
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"DATA_DIR": "data", |
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"CACHE_DIR": "cache_policies", |
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} |
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ds = load_dataset( |
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dataset_config["LOADING_SCRIPT_FILES"], |
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dataset_config["CONFIG_NAME"], |
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data_dir=dataset_config["DATA_DIR"], |
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cache_dir=dataset_config["CACHE_DIR"] |
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) |
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train_testvalid = ds["train"].train_test_split(shuffle=True, test_size=0.1) |
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test_valid = train_testvalid["test"].train_test_split( |
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test_size=0.5) |
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ds = DatasetDict({ |
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"train": train_testvalid["train"], |
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"test": test_valid["test"], |
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"val": test_valid["train"], |
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} |
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) |
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print(ds) |
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