CRSLab
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CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Fix #47 --- - Add model freezing for KBRD - Freeze KBRD recommendation module while training the conversation module - Able to freeze in DP mode and standard mode
Hi, thanks for sharing such a great project. I have run a benchmark for the ReDial dataset using KGSF. However, I got worse results compared to the original paper This...
When doing the `ind2txt`, we will get the `string`:  Then if we calculate the `n-gram`, it will get the **character** granularity of unique `n-gram`:  Example:  Correct: ...
Hi, thanks for sharing such a good toolbox. In the original implementation of KBRD, the author freezes the parameters in the KG and recommender layers while training the conversation module....
when i run this " !sh script/redial/train/redial_rec_train.sh" on anaconda i got this error. same error is coming when executing on goole colab. please help anyone frozen importlib._bootstrap>:219: RuntimeWarning: scipy._lib.messagestream.MessageStream size...
when i run this script " !sh script/redial/train/redial_rec_train.sh" of c2crs, following error comes. please help usr/local/lib/python3.7/dist-packages/fuzzywuzzy/fuzz.py:11: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning warnings.warn('Using slow pure-python...
Traceback (most recent call last): File "run_crslab.py", line 47, in run_crslab(config, args.save_data, args.restore_data, args.save_system, args.restore_system, args.interact, File "/home/**/project/crs/CRSLab/crslab/quick_start/quick_start.py", line 73, in run_crslab CRS.fit() File "/home/**/project/crs/CRSLab/crslab/system/kgsf.py", line 186, in fit self.train_recommender()...
Here's an example when using `'redial dataset'` We do the padding function to make the dialogue in the same length, so that we can deal with batches. - Dataloader process:...
Dear authors, I have a use case of using a bit modified version of the INSPIRED dataset (having the same format as the original) that I want to use for...
in my opinion，I think maybe there is some problem in CRSLab/crslab/config/config.py 37 # gpu os.environ['CUDA_VISIBLE_DEVICES'] = gpu self.opt['gpu'] = [i for i in range(len(gpu.split(',')))] if gpu=-1，self.opt['gpu'] will be [0]
