diff --git a/ngrams/term_frequencies.py b/ngrams/term_frequencies.py
index 38de903..f941d1a 100755
--- a/ngrams/term_frequencies.py
+++ b/ngrams/term_frequencies.py
@@ -62,7 +62,8 @@ def my_tokenizer(text, mwe_pass, mwe_tokenize, stopWords, ngram_output):
         for sentence in sentences:
             if random() <= 0.1:
                 grams = list(chain(*map(lambda i : ngrams(sentence,i),range(4))))
-                with open(f'/gscratch/comdata/output/reddit_ngrams/comment_ngrams_10p_sample/{ngram_output}','a') as gram_file:
+                Path(ngram_output).mkdir(parents=True, exist_ok=True)
+                with open(ngram_output','a') as gram_file:
                     for ng in grams:
                         gram_file.write(' '.join(ng) + '\n')
             for token in sentence:
@@ -193,7 +194,7 @@ def weekly_tf(partition,
 
     # we follow the approach described in datta, phelan, adar 2017
 
-    outrows = tf_func(subreddit_weeks, mwe_pass, mwe_tokenize, stopWords, ngram_output)
+    outrows = tf_func(subreddit_weeks, mwe_pass, mwe_tokenize, stopWords, Path(output_10p_sample_path) / ngram_output)
 
     outchunksize = 100000