Data corrections (Gender)

[atiro]

I'm writing an article on use of Pandas for data analysis in museum collections data, and have been making great use of yours and MoMa's datasets for this, for which many thanks.

One of the things I wanted to use Pandas for was find errata in the data, comparing common fields between the datasets. After a bit of data mangling, the following differences in the artist gender were flagged up.

Gender incorrect (according to MoMa)

Artist	Tate Gender	MoMa Gender
Misch Kohn	Female	Male

Gender unknown (but known by MoMa)

Artist	Tate Gender	MoMa Gender
Shusaku Arakawa	NaN	Male
Juan Downey	NaN	Male
Jack Goldstein	NaN	Male
Lawrence Abu Hamdan	NaN	Male
Vladimir Kozlinskii	NaN	Male
Vladimir Mayakovsky	NaN	Male
Melik Ohanian	NaN	Male
R. H. Quaytman	NaN	Female
Monika Sosnowska	NaN	Female

Likewise have differences for artists birth & death dates, will lodge these as separate issues if of use.