@@ -18,5 +18,7 @@ Run the following two commands inside the ``data/`` directory::
 
 As the filenames indicate, the first step will download the data and the second
 one will preprocess it. Preprocessing can take several hours, but it is
-feasible to run it on a modern laptop.
+feasible to run it on a modern laptop. Once the second step is finished, you
+may remove the input file if you want to save disk space
+(``data/enwiki-latest-pages-articles.xml.bz2``).
 
@@ -5,4 +5,4 @@ wiki_en_output_bow.mm
 wiki_en_output_bow.mm.index
 wiki_en_output_tfidf.mm
 wiki_en_output_tfidf.mm.index
-wiki_en_output_wordids.txt
+wiki_en_output_wordids.txt.bz2
@@ -13,7 +13,7 @@
     format='%(asctime)s : %(levelname)s : %(message)s',
     level=logging.INFO)
 id2word = gensim.corpora.Dictionary.load_from_text(
-    'data/wiki_en_output_wordids.txt')
+    'data/wiki_en_output_wordids.txt.bz2')
 mm = gensim.corpora.MmCorpus('data/wiki_en_output_tfidf.mm')
 model = gensim.models.ldamodel.LdaModel(
     corpus=mm,
@@ -30,7 +30,7 @@
 
 counts = np.zeros(100)
 for doc_top in topics:
-    for ti, _ in doc_toc:
+    for ti, _ in doc_top:
         counts[ti] += 1
 
 for doc_top in topics: