import pandas as pd
from datasets import load_dataset, Value

from LargeST.to_largest import generate_largest_data

repo_id = "double-blind-anonymous/go-mo-dataset"

data = load_dataset(repo_id, data_files={'train': "traffic_data_2024.csv"}, split="train")
# data = data.cast_column("entry_date", Value("timestamp[s]"))
df = data.to_pandas()
print(df.head())
print(df.shape)

generate_largest_data(df, "/mnt/raid/code/dmariaa/go-mo-dataset/code/data")