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from datasets import load_dataset, Dataset, load_from_disk | |
import os | |
def main(): | |
os.makedirs('./promptbook', exist_ok=True) | |
promptbook = load_dataset('NYUSHPRP/ModelCofferPromptBook', split='train') | |
print(promptbook) | |
promptbook.save_to_disk('./promptbook') | |
# | |
# roster = load_dataset('NYUSHPRP/ModelCofferRoster', split='train') | |
# roster.save_to_disk('./roster') | |
def load(): | |
roster = load_from_disk('./roster') | |
print(roster) | |
def test(): | |
promptbook = load_from_disk('./promptbook') | |
print(promptbook[0]['image']) | |
# def drop_metadata_checked_column(): | |
# ModelCofferMetadata = load_dataset('NYUSHPRP/ModelCofferMetadata', split='train') | |
# ModelCofferMetadata = ModelCofferMetadata.remove_columns(['checked']) | |
# ModelCofferMetadata.push_to_hub('NYUSHPRP/ModelCofferMetadata', split='train') | |
if __name__ == '__main__': | |
main() | |