To map cross-validation and holdout folds to original data you should in the Leaderboard, select any model and click Predict > Make Predictions. There select all data to make predictions on. After computing predictions and downloading the file, you will find their rowID - which will reference to rowID in the original file provided for training. Along with predictions, you may ask for up to 5 optional features that might help you understand partition stats. If 5 features are not enough - you may concatenate the prediction file with partition information to the original file.
2) If you want to get how DataRobot partitioned automatically for you, then you should use my previous answer. Prediction and model, in that case, don't matter. Partition for all models is the same, and that is just one point of access for partition split and predictions on training.