Hi GrittyHawk31 , you can use Dataset.get(). If you're using a file you can call Dataset.get_local_copy() to download it.
You can check https://clear.ml/docs/latest/docs/clearml_data/data_management_examples/data_man_python#data-ingestion documentation out or an https://github.com/allegroai/clearml/blob/master/examples/datasets/data_ingestion.py that uses it

Hi, AnxiousSeal95 suppose we have uploaded a csv file, and want to get the csv file to do some pre processing tasks, then is there a way to get that csv file to that script to do further tasks on the dataset like we normally do?

What is the format of data we get from using dataset.get() AnxiousSeal95 , I just wanted to visualize the columns of that csv file and plot some details. Can I do that directly from the output from Dataset.get() ?

Hi,
You may want to consider to do the visualizing while creating the Datasets - see https://github.com/thepycoder/asteroid_example/blob/main/get_data.py#L34 logging the head() of the dataframe

Hi GrittyHawk31 , maybe I'm missing something, but what stops you from using Dataset.get() in the preprocessing script? Is there a limitation on it?