Instructions for running meta-learning experiments

Run pip install -e . to install this package
Run pip install -r requirements.txt
Go to our shared google drive folder to download vocab files. The name of vocab files indicates the corresponding dataset. vocab_7ds_5w.txt means that this is a meta vocab that contains the top 50000 frequent words of all the 7 supported datasets. You can just download this file for meta experiments
Go to pointer_generator/utils/config.py and update all the configs at the bottom of the file under ###New configs###. dataset_cache_dir and vocab_cache_dir are places to store datasets and vocab. meta_vocab_file is the name of the vocab file that you're using (downloaded from google drive). The meta_vocab_file is assumed to locate under vocab_cache_dir. Update meta_vocab_size if you use a vocab with size larger than 50000, like vocab_7ds_7w.txt.
Run meta_train.py, meta_test.py, and meta_eval.py

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