Baseline for Formosa Grand Challenge 2020

1. Requirements
   • python 3
   • pytorch
   • https://github.com/huggingface/transformers
2. Install
   • Clone this repository
   • Download FGC dataset unzip and place under a sub-directory named json
   • Download DRCD corpus and place under json
3. Preprocess dataset
   • Run python FGC_merge_to_DRCD_json.py to merge FGC training data into DRCD
   • Run python FGC_mocks_to_DRCD_json.py to create development set data using FGC mock tests
   • Run python FGC_final_to_DRCD.py to convert official test set data to DRCD format
4. Run run_fgc_baseline.ipynb (can be run in Google Colab)
   • On a single Titan X GPU with 12G of memory, we can use the hyperparameters listed in here
   • Multi-GPU support is in beta
5. Test set performance: correctly answer 15 out of 50 questions