dialog-rl's People
dialog-rl's Issues
Implement pretrain/finetune strategy
Make sure datasets are read correctly and see whether non-identical sets of vocab/embeddigns/etc aren't problematic
Allow for loading pretrained model from disk for RL finetuning experiments
Modify load_dataset to allow for domain filtering
We talked about a setup that pretrains on domains D_1 ... D_{n-1} and then finetunes on domain D_n.
This requires loading the datasets separately for those domains. I've rewritten the header of load_dataset()
to reflect this. The idea is that domains
is a list of strings with domain names -- but if it's just a single string 'all', everything should pass. The function also devises a strict
flag that only allows dialogs to pass that are one domain only.
None option for slots
Cant find "emb.json" files
I am trying to run the code like this :
! python run.py --epochs 10 --lr 0.005 --reinforce --gpu 0 --train_domains ['taxi'] --finetune_domains ['train'] --eval_domains ['train'] --path "/content/dialog-rl/Preprocessing/ann/" --outfile "/content/outfile"
And I get this error:
FileNotFoundError: [Errno 2] No such file or directory: '/content/dialog-rl/Preprocessing/ann/emb.json'
there is no data folder but I thought the files are in Preprocessing folder hence the path. Could someone tell me what I am doing wrong? I tried running the preprocess_data.py file but I run into a bunch of errors there too.
precompute all representations as far as possible
Delexicalize postcodes, reservation numbers, phone numbers etc.
e.g. replace with dummy placeholder
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