Generating Trivia question-answer pair
For this project, one can use a pre-trained BART/T5 model.
Model
Pre-trained BART, T5 models can be found on the model hub.
Datasets
One can use the TriviQA dataset for this task.
Available training scripts
As this will be a Seq2Seq model, the run_summarization_flax.py script can be used for training.
(Optional) Desired project outcome
The desired outcome is to train a model capable of generating trivia questions and answers given a text paragraph.