diff --git a/scikits/learn/datasets/german/data.py b/scikits/learn/datasets/german/data.py
new file mode 100644
index 0000000000000000000000000000000000000000..6af9507e84551e430c56ec746cec6d18dba502ff
--- /dev/null
+++ b/scikits/learn/datasets/german/data.py
@@ -0,0 +1,96 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+# Last Change: Mon Jul 09 06:00 PM 2007 J
+
+# The code and descriptive text is copyrighted and offered under the terms of
+# the BSD License from the authors; see below. However, the actual dataset may
+# have a different origin and intellectual property status. See the SOURCE and
+# COPYRIGHT variables for this information.
+
+# Copyright (c) 2007 David Cournapeau <cournape@gmail.com>
+#
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are
+# met:
+#
+#     * Redistributions of source code must retain the above copyright
+#       notice, this list of conditions and the following disclaimer.
+#     * Redistributions in binary form must reproduce the above copyright
+#       notice, this list of conditions and the following disclaimer in
+#       the documentation and/or other materials provided with the
+#       distribution.
+#     * Neither the author nor the names of any contributors may be used
+#       to endorse or promote products derived from this software without
+#       specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
+# TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
+# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
+# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
+# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+"""Iris dataset."""
+
+__docformat__ = 'restructuredtext'
+
+COPYRIGHT   = """This is public domain. """
+TITLE       = "German Dataset"
+SOURCE      = """
+http://www.liacc.up.pt/ML/old/statlog/datasets.html
+
+Professor Dr. Hans Hofmann 
+Institut für Statistik und Ökonometrie Universität Hamburg 
+FB Wirtschaftswissenschaften 
+Von-Melle-Park 5 
+2000 Hamburg 13
+
+Two datasets are provided. the original dataset, in the form provided by Prof.
+Hofmann, contains categorical/symbolic attributes and is in the file
+"german.dat".  For algorithms that need numerical attributes, Strathclyde
+University produced the file "german.numer". This file has been edited and
+several indicator variables added to make it suitable for algorithms which
+cannot cope with categorical variables. Several attributes that are ordered
+categorical (such as attribute 17) have been coded as integer. This was the
+form used by StatLog. 
+
+Here (scikits), only the numeric datasets are provided.
+"""
+
+DESCRSHORT  = """"""
+
+DESCRLONG   = """"""
+
+NOTE        = """
+Number of Instances: 1000. 700 for class 1 (good credit) and 300 for class 2
+(bad credit).
+
+Number of Attributes: 24.
+
+label: -1 for good credit, +1 for bad credit
+"""
+
+def load():
+    """load the german data and returns them.
+    
+    :returns:
+        data: recordarray
+            a record array of the data.
+    """
+    import numpy
+    from german import feat, label
+    descr = [('feat' + str(i), numpy.int) for i in range(1, 25)]
+    descr.append(('label', numpy.int))
+    data = numpy.empty(len(feat['feat1']), dtype = descr)
+    for i in feat.keys():
+        data[i] = numpy.array(numpy.round([float(j) for j in feat[i]]))
+    data['label'] = numpy.array([numpy.int(i) for i in label])
+    
+    return data
diff --git a/scikits/learn/datasets/german/german.py b/scikits/learn/datasets/german/german.py
new file mode 100644
index 0000000000000000000000000000000000000000..ea27f130fcc710016f5fa11e6dcf4c2539370b0c
--- /dev/null
+++ b/scikits/learn/datasets/german/german.py
@@ -0,0 +1,4086 @@
+# Autogenerated by convert.py at Mon, 09 Jul 2007 09:13:08 +0000
+
+label = ['-1', '+1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '+1', '+1',
+'+1', '-1', '+1', '-1', '+1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '-1',
+'-1', '-1', '-1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '-1', '+1', '-1',
+'+1', '-1', '-1', '-1', '-1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '-1',
+'-1', '-1', '-1', '-1', '+1', '-1', '+1', '-1', '-1', '+1', '-1', '-1', '+1',
+'+1', '-1', '-1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '-1', '+1', '-1',
+'+1', '-1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '-1', '-1', '+1', '-1',
+'+1', '-1', '-1', '+1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '-1', '-1',
+'-1', '-1', '-1', '+1', '+1', '-1', '-1', '-1', '-1', '-1', '-1', '+1', '-1',
+'-1', '+1', '-1', '+1', '-1', '+1', '-1', '-1', '-1', '+1', '-1', '-1', '+1',
+'-1', '+1', '-1', '+1', '-1', '-1', '-1', '-1', '-1', '+1', '-1', '-1', '-1',
+'-1', '-1', '+1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1',
+'-1', '+1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '+1',
+'-1', '-1', '+1', '+1', '-1', '+1', '-1', '+1', '+1', '-1', '-1', '-1', '-1',
+'+1', '+1', '+1', '-1', '+1', '-1', '+1', '-1', '+1', '-1', '+1', '+1', '+1',
+'-1', '+1', '+1', '-1', '+1', '-1', '+1', '-1', '-1', '-1', '+1', '-1', '-1',
+'-1', '-1', '-1', '-1', '-1', '-1', '+1', '+1', '-1', '-1', '-1', '-1', '-1',
+'-1', '-1', '-1', '-1', '-1', '-1', '-1', '+1', '+1', '+1', '-1', '+1', '-1',
+'-1', '-1', '-1', '+1', '+1', '+1', '-1', '-1', '+1', '-1', '+1', '-1', '-1',
+'-1', '-1', '-1', '-1', '+1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '+1',
+'-1', '-1', '-1', '-1', '-1', '-1', '-1', '+1', '-1', '-1', '+1', '-1', '-1',
+'-1', '-1', '+1', '+1', '-1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '-1',
+'-1', '-1', '-1', '-1', '-1', '+1', '-1', '+1', '-1', '-1', '-1', '+1', '-1',
+'-1', '-1', '-1', '-1', '+1', '+1', '-1', '+1', '-1', '-1', '+1', '+1', '-1',
+'-1', '-1', '-1', '+1', '-1', '+1', '-1', '-1', '-1', '-1', '+1', '+1', '-1',
+'-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '+1', '+1', '+1', '+1', '+1',
+'-1', '+1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1',
+'+1', '-1', '+1', '-1', '+1', '-1', '+1', '-1', '+1', '-1', '+1', '-1', '-1',
+'-1', '-1', '+1', '-1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '-1', '+1',
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+'-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '+1', '-1', '-1',
+'-1', '+1', '-1', '-1', '+1', '-1', '-1', '-1', '+1', '-1', '-1', '+1', '-1',
+'+1', '-1', '+1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '+1', '-1', '-1',
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+'-1', '-1', '-1', '+1', '+1', '-1', '-1', '-1', '+1', '-1', '-1', '+1', '+1',
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+'+1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '+1', '-1', '+1', '-1', '-1',
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+'-1', '+1', '+1', '-1', '-1', '+1', '-1', '-1', '-1', '-1', '+1', '-1', '-1',
+'+1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '+1', '-1', '-1', '-1', '+1',
+'-1', '-1', '+1', '+1', '-1', '+1', '-1', '+1', '-1', '+1', '-1', '+1', '-1',
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+'-1', '+1', '-1', '-1', '-1', '+1', '-1', '-1', '+1', '+1', '+1', '-1', '-1',
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+'+1', '-1', '-1', '-1', '-1', '+1', '+1', '+1', '+1', '-1', '+1', '-1', '-1',
+'-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '-1', '+1',
+'-1']
+
+feat = {'feat19': ['0.000000', '0.000000', '0.000000', '0.000000', '0.000000',
+'0.000000', '0.000000', '0.000000', '0.000000', '0.000000', '0.000000',
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+
diff --git a/scikits/learn/datasets/german/src/convert.py b/scikits/learn/datasets/german/src/convert.py
new file mode 100755
index 0000000000000000000000000000000000000000..11a71ae94bc6d256b30d87c896ecc4e6eeeedb93
--- /dev/null
+++ b/scikits/learn/datasets/german/src/convert.py
@@ -0,0 +1,31 @@
+#! /usr/bin/env python
+# Last Change: Mon Jul 09 06:00 PM 2007 J
+
+# This script generates a python file from the txt data
+import time
+import csv
+
+dataname = 'german.numer'
+f = open(dataname, 'r')
+a = csv.reader(f, delimiter = ' ')
+el = [i for i in a]
+# Remove last value corresponding to empty line in data file
+assert len(el) == 1000
+
+label = [i[0] for i in el]
+feat = {}
+for i in range(len(el[0][1:-1])):
+    feat['feat' + str(i+1)] = [j[i+1].split(':')[1] for j in el]
+
+a = open("german.py", "w")
+a.write('# Autogenerated by convert.py at %s\n\n' % 
+        time.strftime("%a, %d %b %Y %H:%M:%S +0000", time.gmtime()))
+
+def dump_var(var, varname):
+    import textwrap
+    strvar = varname + " = " + str(var)
+    a.writelines([i + '\n' for i in textwrap.wrap(strvar, 79)])
+    a.write("\n")
+
+dump_var(label, 'label')
+dump_var(feat, 'feat')
diff --git a/scikits/learn/datasets/german/src/german.numer b/scikits/learn/datasets/german/src/german.numer
new file mode 100644
index 0000000000000000000000000000000000000000..37a084a9aba183e300108355ceac4018aac517d4
--- /dev/null
+++ b/scikits/learn/datasets/german/src/german.numer
@@ -0,0 +1,1000 @@
+-1 1:1.000000 2:6.000000 3:4.000000 4:12.000000 5:5.000000 6:5.000000 7:3.000000 8:4.000000 9:1.000000 10:67.000000 11:3.000000 12:2.000000 13:1.000000 14:2.000000 15:1.000000 16:0.000000 17:0.000000 18:1.000000 19:0.000000 20:0.000000 21:1.000000 22:0.000000 23:0.000000 24:1.000000 
++1 1:2.000000 2:48.000000 3:2.000000 4:60.000000 5:1.000000 6:3.000000 7:2.000000 8:2.000000 9:1.000000 10:22.000000 11:3.000000 12:1.000000 13:1.000000 14:1.000000 15:1.000000 16:0.000000 17:0.000000 18:1.000000 19:0.000000 20:0.000000 21:1.000000 22:0.000000 23:0.000000 24:1.000000 
+-1 1:4.000000 2:12.000000 3:4.000000 4:21.000000 5:1.000000 6:4.000000 7:3.000000 8:3.000000 9:1.000000 10:49.000000 11:3.000000 12:1.000000 13:2.000000 14:1.000000 15:1.000000 16:0.000000 17:0.000000 18:1.000000 19:0.000000 20:0.000000 21:1.000000 22:0.000000 23:1.000000 24:0.000000 
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