Index: /prdatasets/Contents.m
===================================================================
--- /prdatasets/Contents.m	(revision 82)
+++ /prdatasets/Contents.m	(revision 83)
@@ -1,60 +1,51 @@
-%PRDATASETS: PRTools5 Pattern Recognition Datasets
-% Version 2.0 6-Aug-2013
+% PRDATASETS: Pattern Recognition Datasets in PRTools format
+% Version 2.03 23-Aug-2013
 %
-%The following datasets can be loaded by commands like A = DATASET_NAME.
-%Most datasets have options to select classes or objects.
-%(m: #samples, k: #features  c:#classes)
+%Feature based labeled datasets
+%------------------------------
+%name      objects  feats  classes
+%x80          45      8       3    radial distances of characters
+%arrhythmia  420    278       2    presence or absence of cardia arrhythmia
+%auto_mpg 	 398      6       2    car/miles-per-gallon
+%malaysia    291      8      20    segment features in utility symbols
+%biomed      194      5       2    various patient indicators
+%breast      683      9       2    Wisconsion breast cancer dataset
+%cbands    12000     30      24    chromosome banding patterns
+%chromo     1143      8      24    chromosome blob features
+%diabetes    768      8       2    Pima Indians Diabetes Database
+%ecoli       272      7       3    protein localisation sites
+%glass       214      9       4    glass types from chemical components
+%heart       297     13       2    heart disease dataset
+%imox        192      8       4    radial distances of characters
+%ionosphere  351     34       2    radar data
+%iris        150      4       3    Fisher's Iris dataset
+%liver       345      6       2    liver disorder
+%satellite  6435     36       6    spectral data
+%sonar       208     60       2    rock / metal sonar features
+%soybean1    266     35      19    large Soybeans
+%soybean2    136     35       4    small Soybeans
+%spirals     194      2       2    spirals
+%twonorm    7400     20       2    Leo Breiman's two normal example.
+%ringnorm   7400     20       2    Leo Breiman's ringnorm example.
+%wine        178     13       3    wine recognition
+%mfeat_fac  2000    216      10    face features in digits dataset
+%mfeat_fou  2000     76      10    Fourier features in digits dataset
+%mfeat_kar  2000     64      10    Karhunen Loeve features in digits dataset
+%mfeat_pix  2000    240      10    pixel features in digits dataset
+%mfeat_zer  2000     53      10    Zernike moments in digits dataset
+%mfeat_mor  2000      6      10    morphological features in digits dataset
 %
-% name        m     k   c  description
+%Multi-band images (pixels are objects, bands are features)
 %----------------------------------------------------------
-%x80          45    8   3  radial distances of characters
-%arrhythmia  420  278   2  presence or absence of cardia arrhythmia
-%auto_mpg*	 398    6   2  Car/miles-per-gallon
-%malaysia    291    8  20  segment features in utility symbols
-%biomed      194    5   2
-%breast*     683    9   2  Wisconsion breast cancer dataset
-%cbands    12000   30  24  chromosome banding patterns
-%chromo     1143    8  24  chromosome blob features
-%diabetes*   768    8   2  Pima Indians Diabetes Database
-%ecoli*      272    7   3  protein localisation sites
-%glass       214    9   4  glass types from chemical components
-%heart*      297   13   2  heart disease dataset
-%imox        192    8   4  radial distances of characters
-%ionosphere* 351   34   2  
-%iris        150    4   3  Fisher's Iris dataset
-%liver*      345    6   2  liver disorder
-%satellite* 6435   36   6
-%sonar*      208   60   2  rock / metal sonar features
-%soybean1*   266   35  19  large Soybeans
-%soybean2*   136   35   4  small Soybeans
-%spirals     194    2   2  spirals
-%twonorm    7400   20   2  Leo Breiman's two normal example.
-%ringnorm   7400   20   2  Leo Breiman's ringnorm example.
-%wine*       178   13   3  wine recognition
-%mfeat-fac  2000  216  10  Face features in digits dataset
-%mfeat-fou  2000   76  10  Fourier features in digits dataset
-%mfeat-kar  2000   64  10  Karhunen Loeve features in digits dataset
-%mfeat-pix  2000  240  10  Pixel features in digits dataset
-%mfeat-zer  2000   53  10  Zernike moments in digits dataset
-%mfeat-mor  2000    6  10  Morphological features in digits dataset
+%name      pixels  bands  classes
+%emim      128*128    8      1  A seto of 5 8-band EM images
+%lena      256*256    3      1  full-color image
+%texturel  5*128*128  7      5  texture features for 5 different texture images
+%texturet  256*256    7      5  composite texture image
 %
-%   Multi-band images (pixels are objects, bands are features)
-%
-%emim31   128*128   8   1  8-band EM image
-%emim32   128*128   8   1  8-band EM image
-%emim33   128*128   8   1  8-band EM image
-%emim34   128*128   8   1  8-band EM image
-%emim37   256*256   8   1  8-band EM image
-%lena     256*256   3   1  full-color image
-%texturel 5*128*128 7   5  texture features for 5 different texture images
-%texturet 256*256   7   5  composite texture image
-%
-%    Image datasets (pixels are features, images are objects)
-%
-%kimia     216   64*64 18  resampled (64*64) Kimia dataset of silhouettes
-%nist32   5000   32*32 10  Resampled Nist digits
-%nist16   2000   16*16 10  Normalized Nist digits
-
-% Copyright: R.P.W. Duin, r.p.w.duin@prtools.org
-% Faculty EWI, Delft University of Technology
-% P.O. Box 5038, 2600 GA Delft, The Netherlands
+%Image datasets (pixels are features, images are objects)
+%--------------------------------------------------------
+%name   images  pixels  classes
+%kimia     216   64*64    18  resampled Kimia dataset of silhouettes
+%nist32   5000   32*32    10  Resampled Nist digits
+%nist16   2000   16*16    10  Normalized Nist digits
Index: /prdatasets/mfeat.m
===================================================================
--- /prdatasets/mfeat.m	(revision 82)
+++ /prdatasets/mfeat.m	(revision 83)
@@ -20,5 +20,7 @@
 % LNCS, vol. 1857, Springer, Berlin, 2000, 16-29.
 %
-% See also DATASETS, PRDATASETS, 
+% SEE ALSO 
+% DATASETS, PRDATASETS, MFEAT_FAC, MFEAT_FOU, MFEAT_KAR, MFEAT_MOR, 
+% MFEAT_PIX, MFEAT_ZER
 
 % Copyright: R.P.W. Duin, r.p.w.duin@prtools.org
