You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Given that "dev" and "valid" are used interchangeably in the machine learning world to refer to the held-out dataset which is used for early stopping, I think having a valid.csv as well as a dev.csv will lead to confusion.
Given that "invalid.csv" also exists, and the filenames should make obvious that "valid.csv" and "invalid.csv" are complementary sets, I suggest the following names:
valid.csv
invalid.csv
validated.csv
invalidated.csv
accurate.csv
inaccurate.csv
correct.csv
incorrect.csv
confirmed.csv
uncomfirmed.csv
verified.csv
unverified.csv
validated_transcripts.csv
invalidated_transcripts.csv
accurate_transcripts.csv
inaccurate_transcripts.csv
correct_transcripts.csv
incorrect_transcripts.csv
confirmed_transcripts.csv
unconfirmed_transcripts.csv
verified_transcripts.csv
unverified_transcripts.csv
The text was updated successfully, but these errors were encountered:
Given that "dev" and "valid" are used interchangeably in the machine learning world to refer to the held-out dataset which is used for early stopping, I think having a
valid.csv
as well as adev.csv
will lead to confusion.Given that "invalid.csv" also exists, and the filenames should make obvious that "valid.csv" and "invalid.csv" are complementary sets, I suggest the following names:
The text was updated successfully, but these errors were encountered: