DATA SET DESCRIPTION 
The Avila data set has been extracted from 800 images of the the "Avila Bible", a giant Latin copy of the whole Bible produced during the XII century between Italy and Spain.  
The palaeographic analysis of the  manuscript has  individuated the presence of 12 copyists. The pages written by each copyist are not equally numerous. 
Each pattern contains 10 features and corresponds to a group of 4 consecutive rows.

The prediction task consists in associating each pattern to one of the 12 copyists (labeled as: A, B, C, D, E, F, G, H, I, W, X, Y).
The data have has been normalized, by using the Z-normalization method, and divided in two data sets: a training set containing 10430 samples, and a test set  containing the 10437 samples.

Class distribution (training set)
A: 4286
B: 5  
C: 103 
D: 352 
E: 1095 
F: 1961 
G: 446 
H: 519
I: 831
W: 44
X: 522 
Y: 266

ATTRIBUTE DESCRIPTION

ID      Name    
F1       intercolumnar distance 
F2       upper margin 
F3       lower margin 
F4       exploitation 
F5       row number 
F6       modular ratio 
F7       interlinear spacing 
F8       weight 
F9       peak number 
F10     modular ratio/ interlinear spacing
Class: A, B, C, D, E, F, G, H, I, W, X, Y


CITATIONS
If you want to refer to the Avila data set in a publication, please cite the following paper:

C. De Stefano, M. Maniaci, F. Fontanella, A. Scotto di Freca,
Reliable writer identification in medieval manuscripts through page layout features: The "Avila" Bible case, Engineering Applications of Artificial Intelligence, Volume 72, 2018, pp. 99-110.