Column `mean_exposure` doesn't exist."

Hey, I i came across this issue in robyn and it's not going away:

> ## Run all trials and iterations. Use ?robyn_run to check parameter definition
> OutputModels <- robyn_run(
+ InputCollect = InputCollect, # feed in all model specification
+ cores = NULL, # NULL defaults to (max available - 1)
+ iterations = 10000, # 2000 recommended for the dummy dataset with no calibration
+ trials = 8, # 5 recommended for the dummy dataset
+ ts_validation = TRUE, # 3-way-split time series for NRMSE validation.
+ add_penalty_factor = FALSE # Experimental feature. Use with caution.
+ )
Input data has 42 weeks in total: 2023-08-14 to 2024-05-27
Initial model is built on rolling window of 42 week: 2023-08-14 to 2024-05-27
Time-series validation with train_size range of 50%-80% of the data...
Using geometric adstocking with 14 hyperparameters (14 to iterate + 0 fixed) on 15 cores
>>> Starting 8 trials with 10000 iterations each using TwoPointsDE nevergrad algorithm...
Running trial 1 of 8
| | 0%Timing stopped at: 0.73 0.11 0.86
Error in { : task 1 failed - "Can't select columns that don't exist.
✖ Column `mean_exposure` doesn't exist."

I'd really appreciate if anyone can help me out with this one.