import datasets
#Each dataset/.csv file is separately pushed to Huggingface under a different directory. 

original_dataset = datasets.load_dataset(
    "csv",
    data_files = f'data/Ahneman_ORD_Data.csv',
    keep_in_memory = True,
    sep = ",")

sanitized_dataset = datasets.load_dataset(
    "csv",
    data_files = f'data/Sanitized_Ahneman_ORD_Data.csv',
    keep_in_memory = True,
    sep = ",")

prepared_dataset = datasets.load_dataset(
    "csv",
    data_files = f'data/Prepared_Data.csv',
    keep_in_memory = True,
    sep = ",")


print("Pushing to cmmauro/ORD_Ahneman_2018")
sanitized_dataset.push_to_hub(
    repo_id = "cmmauro/ORD_Ahneman_2018",
    data_dir="Sanitized Dataset")

print("Pushing to cmmauro/ORD_Ahneman_2018")
original_dataset.push_to_hub(
    repo_id = "cmmauro/ORD_Ahneman_2018",
    data_dir = "Original Dataset")

print("Pushing to cmmauro/ORD_Ahneman_2018")
prepared_dataset.push_to_hub(
    repo_id = "cmmauro/ORD_Ahneman_2018",
    data_dir = "Prepared Dataset for ML")