I looked through the Gender dataset and found that there are no values in the Gender.Presence column, but at the same time there are some values in Gender.n and Gender.bined4 columns:
Car Nicobarese, LID 44
Sahu, LID 343
Nimboran, LID 212
Maybrat-Karon, LID 438
I also noticed that according these dataset there are no gender in Abkhaz. These looks strange for me.
I'd propose to change Gender.n value to 0 in cases when there is a FALSE value in the Gender.Presence column.
It is also interesting to know, why there are some languages that have TRUE value in the Gender.Presence column, but no value in other columns:
Alamblak, LID 14
Sandawe, LID 347
Sango, LID 466
Kryz, LID 1816
And the last point: why there is no values in any column for Tagalog, LID 362?
I compared this dataset with the WALS 30A feature. From 125 common languages 10 have different values. Please have a look.
I looked through the Gender dataset and found that there are no values in the
Gender.Presencecolumn, but at the same time there are some values inGender.nandGender.bined4columns:I also noticed that according these dataset there are no gender in Abkhaz. These looks strange for me.
I'd propose to change
Gender.nvalue to0in cases when there is aFALSEvalue in theGender.Presencecolumn.It is also interesting to know, why there are some languages that have
TRUEvalue in theGender.Presencecolumn, but no value in other columns:And the last point: why there is no values in any column for Tagalog, LID 362?
I compared this dataset with the WALS 30A feature. From 125 common languages 10 have different values. Please have a look.