Hi!
I am trying to build and run a pipeline. I pass my dataset as parameter of pipeline:

pipe.add_parameter(name='dataset_df',
                       description='Initial dataset .parquet file',
                       default=dataset_df,
                       param_type="pd.DataFrame")

Then I refer to this param, try to use it in my first step of pipeline that bases on another previously generated task (which was generated on an empty dataset):

pipe.add_step(
            name=f'{step_one_name}_{n_predict}',
            base_task_id=base_task.task_id,
            execution_queue=pipeline_steps_execution_queue,
            cache_executed_step=cache,
            parameter_override={"General/dataset_df": "${pipeline.dataset_df}",
                                "General/n_predict": n_predict,
                                "General/period_size": "${pipeline.period_size}",
                                "General/preprocessing_kwargs_params": "${pipeline.preprocessing_kwargs_params}"})

But I receive an error that states that my dataset is empty, although it is not. I guess, ClearML doesn't use my dataset in the task, does not override

Could you please give any ideas how to pass my dataset into the task properly?