Explanation for Dataset .

[mailtosagar]

Explanation for output vector . What are they representing and how to decode them .
like : for "Fun camera, not a fun amazon experience"
output is " 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 "
what are these "0"s and "1"s are representing .

[monajalal]

So, based on this:

total = 7149
#total = 10

#tot_arr = np.arange(total)

tot_train=int(0.7*total)
tot_dev=int(0.5*(total-tot_train))
tot_test=total-tot_train-tot_dev

You should have 10 values for train labels but you have 15. Can you please provide some explanation?

$ head y_train.csv 
0,1,0,0,1,0,0,1,0,0,1,0,0,1,0
0,1,0,0,1,0,0,1,0,0,1,0,0,1,0
0,1,0,0,1,0,0,1,0,0,1,0,0,1,0
0,1,0,0,1,0,0,1,0,0,1,0,0,1,0
0,0,1,0,1,0,0,1,0,0,0,1,0,1,0
0,1,0,0,1,0,0,1,0,0,1,0,0,0,1
0,1,0,0,1,0,0,1,0,0,1,0,0,1,0
0,1,0,0,1,0,0,1,0,0,1,0,0,1,0
1,0,0,0,1,0,0,1,0,0,1,0,0,1,0
0,1,0,0,1,0,0,1,0,0,1,0,0,1,0

$ head x_train.txt 
Fun camera, not a fun amazon experience
it has many great features and very few bad ones .
Love it
however , indoor pictures of subjects more than a few feet away can be blurry or grainy .
The pictures are beautiful, and the camera is so small you can carry it anywhere.
Very nice initial impression
Will keep working with it but don't think this should have to happen
I used POGO 2x3 papers (cheaper) and the premium photo papers (expensive) and can not tell the difference between the two
It has a slight darkness to it but it has an option to brighten your picture however, the image looks distorted
Good grab and go camera

Basically what's the relation of those 0 and 1s to the x_train?