Salvatore Raieli
Salvatore Raieli
Thank you for your reply, I have used beautifulsoup: ``` def text_recovery(url): # Make a request to the URL response = requests.get(str(url)) # Parse the HTML content of the page...
There is a maybe a way to interact with the database? like information is a sort SQL or GrapSQL db of wiki?
I understand, thank you for your help
I would try with p.wikitest! However, I still have to find a way when the episodes (and the table) is in another page. The problem with the wiki pages is...
yes, it is a pity, since there is so much interesting information in wiki for model training or doing apps. thank you very much for your help!
thank you very much, my name is Salvatore Raieli
Thank you, I have seen the updated version and I would suggest some new research that could be interesting to mention: Mistral 7B has been released with the technical article....
your work is actually amazing and thank you for keeping updated that incredible survey.
I solved it like this: !sudo pip install git+https://github.com/SalvatoreRa/ecco
I have tested with the mapping, but the results are the same. The dataset is already in the good format: `amnesty_qa = load_dataset("explodinggradients/amnesty_qa", "english_v2")`