-
-
Notifications
You must be signed in to change notification settings - Fork 2.1k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Multi-Dataset Training #232
Labels
enhancement
Improving of an existing feature
Comments
alanakbik
pushed a commit
that referenced
this issue
Nov 21, 2018
alanakbik
pushed a commit
that referenced
this issue
Nov 21, 2018
alanakbik
pushed a commit
that referenced
this issue
Nov 22, 2018
alanakbik
pushed a commit
that referenced
this issue
Nov 22, 2018
alanakbik
pushed a commit
that referenced
this issue
Nov 22, 2018
alanakbik
pushed a commit
that referenced
this issue
Nov 22, 2018
alanakbik
pushed a commit
that referenced
this issue
Nov 22, 2018
alanakbik
pushed a commit
that referenced
this issue
Nov 22, 2018
alanakbik
pushed a commit
that referenced
this issue
Nov 22, 2018
aychang95
added a commit
to aychang95/flair
that referenced
this issue
Jul 3, 2019
…ments and data_fetcher.py docs accordingly to the Corpus update that addressed flairNLPGH-232
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Some tasks have multiple datasets available over which we might want to train at the same time.
For instance, there are currently 6 English treebanks listed on the UD web page over which we might want to train a PoS tagger for English. Or we might want to train a multilingual PoS tagger for several languages, in which case we would want to simultaneously train over UD corpora for English, German etc.
Task: Add data and training methods to allow for training of models over multiple datasets.
The text was updated successfully, but these errors were encountered: