Consider the following move and commentary dataset for a chess game –

1,e4,e5,Both players have moved their pawns to oppose each other 2,Nf3,d6,White has moved his Knight while Black moved a pawn one square 3,d4,Bg4,White moved a pawn two squares while Black moved his Bishop 4 squares. 

Full example here – https://www.family-games-treasurehouse.com/sample_chess_game.html

If I can create such a dataset, what is the state of the art I can use to train a commentary generation model? GPT-2 might be a starting point but it gives me no control over entities, actions.

Curious if us humans have any ideas to go about this.