from datasets import load_dataset, DatasetDict
dataset_config = {
    "LOADING_SCRIPT_FILES": "policies.py",
    "CONFIG_NAME": "plain_text",
    "DATA_DIR": "data",
    "CACHE_DIR": "cache_policies",
}

ds = load_dataset(
    dataset_config["LOADING_SCRIPT_FILES"],
    dataset_config["CONFIG_NAME"],
    data_dir=dataset_config["DATA_DIR"],
    cache_dir=dataset_config["CACHE_DIR"]
)

# 90% train, 10% test + validation
# Split the 10% test + valid in half test, half valid
train_testvalid = ds["train"].train_test_split(shuffle=True, test_size=0.1)
test_valid = train_testvalid["test"].train_test_split(
    test_size=0.5)  # gather everything into a single DatasetDict
ds = DatasetDict({
    "train": train_testvalid["train"],
    "test": test_valid["test"],
    "val": test_valid["train"],
}
)

print(ds)