# HG changeset patch
# User Frederic Bastien <bastienf@iro.umontreal.ca>
# Date 1209494406 14400
# Node ID ea7d8bc38b34f51702c6586327cd31b53370bb40
# Parent  7086cfcd8ed6964595c84d288b0e6e3c6a7ae2bc
fix comment

diff -r 7086cfcd8ed6 -r ea7d8bc38b34 dataset.py
--- a/dataset.py	Tue Apr 29 12:39:09 2008 -0400
+++ b/dataset.py	Tue Apr 29 14:40:06 2008 -0400
@@ -31,7 +31,7 @@
     * for example in dataset([field1, field2,field3, ...]):
     * for val1,val2,val3 in dataset([field1, field2,field3]):
     * for minibatch in dataset.minibatches([field1, field2, ...],minibatch_size=N):
-    * for mini1,mini2,mini3 in dataset.minibatches([field1, field2, ...],minibatch_size=N):
+    * for mini1,mini2,mini3 in dataset.minibatches([field1, field2, field3], minibatch_size=N):
     * for example in dataset:
         print example['x']
     * for x,y,z in dataset:
@@ -47,8 +47,8 @@
     To iterate over fields, one can do
     * for field in dataset.fields():
          for field_value in field: # iterate over the values associated to that field for all the dataset examples
-    * for fields in dataset(field1,field2,...).fields() to select a subset of fields
-    * for fields in dataset.fields(field1,field2,...) to select a subset of fields
+    * for field in dataset(field1,field2,...).fields() to select a subset of fields
+    * for field in dataset.fields(field1,field2,...) to select a subset of fields
     and each of these fields is iterable over the examples:
     * for field_examples in dataset.fields():
         for example_value in field_examples: