text: import os
  from pathlib import Path
  
  import pandas as pd
  
  from mt import DATASETS_PATH, DATASET_RAW_NAME
  from mt import utils
  
  
  # Get all folders in the root path
  datasets = [os.path.join(DATASETS_PATH, name) for name in os.listdir(DATASETS_PATH) if os.path.isdir(os.path.join(DATASETS_PATH, name))]
  for dataset in datasets:
      domain, (src, trg) = utils.get_dataset_ids(dataset)
      fname_base = f"{domain}_{src}-{trg}"
      print(f"Processing dataset ({fname_base})...")
  
      # Create path
      savepath = os.path.join(dataset, "splits")
      Path(savepath).mkdir(parents=True, exist_ok=True)
  
      # Load datasets
      print(f"Reading files... ({fname_base})")
      df_train = pd.read_csv(os.path.join(dataset, DATASET_RAW_NAME, "train_" + fname_base + ".csv"))
      df_val = pd.read_csv(os.path.join(dataset, DATASET_RAW_NAME, "val_" + fname_base + ".csv"))
      df_test = pd.read_csv(os.path.join(dataset, DATASET_RAW_NAME, "test_" + fname_base + ".csv"))
      
      # Create splits (csv to txt)
      utils.csv2txt(df_train[src], os.path.join(savepath, f"train.{src}"))
      utils.csv2txt(df_train[trg], os.path.join(savepath, f"train.{trg}"))
      utils.csv2txt(df_val[src], os.path.join(savepath, f"val.{src}"))
      utils.csv2txt(df_val[trg], os.path.join(savepath, f"val.{trg}"))
      utils.csv2txt(df_test[src], os.path.join(savepath, f"test.{src}"))
      utils.csv2txt(df_test[trg], os.path.join(savepath, f"test.{trg}"))
  