diff --git a/tests/python/test_taggers.py b/tests/python/test_taggers.py
new file mode 100644
index 00000000..f2ad7add
--- /dev/null
+++ b/tests/python/test_taggers.py
@@ -0,0 +1,86 @@
+"""
+
+Unit tests for taggers/*.py
+
+@kylel
+
+"""
+
+from unittest import TestCase
+
+from dolma.core.data_types import DocResult, Document, Span
+from dolma.taggers import GopherTagger
+
+
+class TestGopherTagger(TestCase):
+    def test_predict_short(self):
+        tagger = GopherTagger()
+        doc = Document(source="", version="", id="", text="This is a test.")
+        doc_result = tagger.predict(doc=doc)
+        d = doc_result.to_json()
+        self.assertEqual(len(d["spans"]), 13)
+        self.assertEqual(d["spans"][0], {"start": 0, "end": 15, "type": "fraction_of_characters_in_most_common_2grams", "score": 0.5, "mention": "This is a test."})
+        self.assertEqual(d["spans"][1], {"start": 0, "end": 15, "type": "fraction_of_characters_in_most_common_3grams", "score": 0.5833333333333334, "mention": "This is a test."})
+        self.assertEqual(d["spans"][2], {"start": 0, "end": 15, "type": "fraction_of_characters_in_most_common_4grams", "score": 1.0, "mention": "This is a test."})
+        self.assertEqual(d["spans"][3], {"start": 0, "end": 15, "type": "character_count", "score": 15.0, "mention": "This is a test."})
+        self.assertEqual(d["spans"][4], {"start": 0, "end": 15, "type": "word_count", "score": 4.0, "mention": "This is a test."})
+        self.assertEqual(d["spans"][5], {"start": 0, "end": 15, "type": "median_word_length", "score": 3.0, "mention": "This is a test."})
+        self.assertEqual(d["spans"][6], {"start": 0, "end": 15, "type": "symbol_to_word_ratio", "score": 0.0, "mention": "This is a test."})
+        self.assertEqual(d["spans"][7], {"start": 0, "end": 15, "type": "fraction_of_words_with_alpha_character", "score": 1.0, "mention": "This is a test."})
+        self.assertEqual(d["spans"][8], {"start": 0, "end": 15, "type": "required_word_count", "score": 0.0, "mention": "This is a test."})    
+        self.assertEqual(d["spans"][9], {"start": 0, "end": 15, "type": "fraction_of_lines_starting_with_bullet_point", "score": 0.0, "mention": "This is a test."})
+        self.assertEqual(d["spans"][10], {"start": 0, "end": 15, "type": "fraction_of_lines_ending_with_ellipsis", "score": 0.0, "mention": "This is a test."})  
+        self.assertEqual(d["spans"][11], {"start": 0, "end": 15, "type": "fraction_of_duplicate_lines", "score": 0.0, "mention": "This is a test."})   
+        self.assertEqual(d["spans"][12], {"start": 0, "end": 15, "type": "fraction_of_characters_in_duplicate_lines", "score": 0.0, "mention": "This is a test."})  
+    
+    def test_predict_multiline(self):
+        tagger = GopherTagger()
+        text = "This is a sentence. \n  \n This is another sentence.\n\n  This is a third sentence."
+        doc = Document(source="", version="", id="", text=text)
+        doc_result = tagger.predict(doc=doc)
+        d = doc_result.to_json()
+        self.assertEqual(len(d['spans']), 19)
+        self.assertEqual(d['spans'][0], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_most_common_2grams', 'score': 0.3050847457627119, 'mention': text})
+        self.assertEqual(d['spans'][1], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_most_common_3grams', 'score': 0.23728813559322035, 'mention': text})
+        self.assertEqual(d['spans'][2], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_most_common_4grams', 'score': 0.2711864406779661, 'mention': text})
+        self.assertEqual(d['spans'][3], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_5grams', 'score': 0.0, 'mention': text})
+        self.assertEqual(d['spans'][4], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_6grams', 'score': 0.0, 'mention': text})
+        self.assertEqual(d['spans'][5], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_7grams', 'score': 0.0, 'mention': text})
+        self.assertEqual(d['spans'][6], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_8grams', 'score': 0.0, 'mention': text})
+        self.assertEqual(d['spans'][7], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_9grams', 'score': 0.0, 'mention': text})
+        self.assertEqual(d['spans'][8], {'start': 0, 'end': 79, 'type': 'fraction_of_characters_in_duplicate_10grams', 'score': 0.0, 'mention': text})
+        self.assertEqual(d["spans"][9], {"start": 0, "end": 15, "type": "character_count", "score": 79.0, "mention": text})
+        self.assertEqual(d["spans"][10], {"start": 0, "end": 15, "type": "word_count", "score": 13.0, "mention": text})
+        self.assertEqual(d["spans"][11], {"start": 0, "end": 15, "type": "median_word_length", "score": 4.0, "mention": text})
+        self.assertEqual(d["spans"][12], {"start": 0, "end": 15, "type": "symbol_to_word_ratio", "score": 0.0, "mention": text})
+        self.assertEqual(d["spans"][13], {"start": 0, "end": 15, "type": "fraction_of_words_with_alpha_character", "score": 1.0, "mention": text})
+        self.assertEqual(d["spans"][14], {"start": 0, "end": 15, "type": "required_word_count", "score": 0.0, "mention": text})    
+        self.assertEqual(d["spans"][15], {"start": 0, "end": 15, "type": "fraction_of_lines_starting_with_bullet_point", "score": 0.0, "mention": text})
+        self.assertEqual(d["spans"][16], {"start": 0, "end": 15, "type": "fraction_of_lines_ending_with_ellipsis", "score": 0.0, "mention": text})  
+        self.assertEqual(d["spans"][17], {"start": 0, "end": 15, "type": "fraction_of_duplicate_lines", "score": 0.0, "mention": text})   
+        self.assertEqual(d["spans"][18], {"start": 0, "end": 15, "type": "fraction_of_characters_in_duplicate_lines", "score": 0.0, "mention": text})  
+
+    def test_word_count_is_whitespace_sep(self):
+        tagger = GopherTagger()
+        text = "T h i s \n    \n\n\n    isoneword !!!"
+        doc = Document(source="", version="", id="", text=text)
+        doc_result = tagger.predict(doc=doc)
+        d = doc_result.to_json()
+        self.assertEqual(d['spans'][6]['type'], 'word_count')
+        self.assertEqual(d['spans'][6]['score'], 6.0)
+
+    def test_required_word_count(self):
+        tagger = GopherTagger()
+        text = "The.and.that"
+        doc = Document(source="", version="", id="", text=text)
+        doc_result = tagger.predict(doc=doc)
+        d = doc_result.to_json()
+        self.assertEqual(d['spans'][5]['type'], 'required_word_count')
+        self.assertEqual(d['spans'][5]['score'], 0.0)
+
+        text = "The and that"
+        doc = Document(source="", version="", id="", text=text)
+        doc_result = tagger.predict(doc=doc)
+        d = doc_result.to_json()
+        self.assertEqual(d['spans'][7]['type'], 'required_word_count')
+        self.assertEqual(d['spans'][7]['score'], 2.0)
diff --git a/tests/python/test_utils.py b/tests/python/test_utils.py
index 540963b3..05fd8c39 100644
--- a/tests/python/test_utils.py
+++ b/tests/python/test_utils.py
@@ -68,9 +68,6 @@ def test_split_sentences(self):
         self.assertEqual(text[sentences[0].start : sentences[0].end], sentences[0].text)
         self.assertEqual(sentences[1].text, "This is another sentence.")
         self.assertEqual(text[sentences[1].start : sentences[1].end], sentences[1].text)
-
-        sentences2 = split_sentences(text=text, remove_empty=False)
-        self.assertListEqual([s.text for s in sentences], [s.text for s in sentences2])
         
     def test_split_sentences_empty(self):
         text = ""