@<1523701205467926528:profile|AgitatedDove14> Perhaps somewhere inside clear ml there is an order of actions for starting that can be changed?

@<1523701205467926528:profile|AgitatedDove14> Thanks a lot. I meant running a bash script after cloning the repository and setting the environment

Thank you for your response @<1523701205467926528:profile|AgitatedDove14> . I will definitely try the solutions you described above. Could you please advise if it is possible to execute the "bash.sh" script directly before the environment setup stages for reproducing the experiment? The repository setup involves downloading resources from AWS. While creating a container that incorporates my requirements would help solve this problem, I am interested in finding a more flexible approach.

@<1523701070390366208:profile|CostlyOstrich36> Yes, sure

import pandas as pd
import yaml
import os
from omegaconf import OmegaConf
from clearml import Dataset

config_path = 'configs/structured_docs.yml'

with open(config_path) as f:
    config = yaml.full_load(f)

config = OmegaConf.create(config)
path2images = config.data.images_folder


def get_data(config, split):
    path2annotation = os.path.join(config.data.annotation_folder, f"sample_{split}.csv")
    data = pd.read_csv(path2an...