Hey @ydayer,

I'm rearranging world, dev, and eval in this dataset.

Have you noticed that the metadata is inconsistent? For instance, if you do:

>>> dataframe[dataframe.id_num==286810]

       id_num  picture_num         dob         doa race gender  age                    photo
37850  286810            1  04/04/1986  05/11/2006    B      M   20  Album2/286810_01M20.JPG
37851  286810            2  04/04/1986  08/16/2006    A      M   20  Album2/286810_02M20.JPG
37849  286810            0  04/04/1986  01/24/2006    H      M   19  Album2/286810_00M19.JPG

>>> dataframe[dataframe.id_num==295087]

id_num  picture_num         dob         doa race gender  age                    photo
39551  295087            0  05/18/1960  10/23/2006    A      M   46  Album2/295087_00M46.JPG
39552  295087            1  05/18/1960  10/25/2006    H      M   46  Album2/295087_01M46.JPG

dataframe[dataframe.id_num==328749]                                                                                                                                                     
       id_num  picture_num         dob         doa race gender  age                    photo
50810  328749            0  07/28/1971  05/12/2006    W      M   34  Album2/328749_00M34.JPG
50811  328749            1  07/28/1971  05/19/2007    A      M   35  Album2/328749_01M35.JPG

There are several more examples