Datasets:
| 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") | |