OrderedDictionary - issues with converting to pandas dataframe

I am using the Papermill module, but having issues with converting the resulting orderedDictionary into a dataframe. I hope this is an issue relevant and suitable for the Datalore-forum.

The dictionary looks like this:

OrderedDict([('LSTM_execution_epochs2_batch64',
              Scraps([('y_pred',
                       Scrap(name='y_pred', data=               y_pred
                       Date                 
                       2020-07-03  49.142918
                       2020-07-06  49.710022
                       2020-07-07  50.376495
                       2020-07-08  51.018242
                       2020-07-09  51.566681
                       ...               ...
                       2022-09-27  74.556389
                       2022-09-28  74.427567
                       2022-09-29  73.876564
                       2022-09-30  73.245224
                       2022-10-03  72.890930
                       
                       [569 rows x 1 columns], encoder='pandas', display=None))])),
             ('LSTM_execution_epochs3_batch32',
              Scraps([('y_pred',
                       Scrap(name='y_pred', data=               y_pred
                       Date                 
                       2020-07-03  50.276623
                       2020-07-06  50.820618
                     ...

The aim is to have the first column including the Date (the index), the second column with ‘LSTM_execution_epochs2_batch64’ data, and the third column with ‘LSTM_execution_epochs3_batch32’.

In advance, thank you for the assistance.

Best wishes
Glenn