diff --git a/spacy/training/example.pyx b/spacy/training/example.pyx
index abdac23ea..1524589fa 100644
--- a/spacy/training/example.pyx
+++ b/spacy/training/example.pyx
@@ -589,6 +589,7 @@ def _fix_legacy_dict_data(example_dict):
         "doc_annotation": doc_dict
     }
 
+
 def _has_field(annot, field):
     if field not in annot:
         return False
@@ -625,6 +626,7 @@ def _parse_ner_tags(biluo_or_offsets, vocab, words, spaces):
                 ent_types.append("")
     return ent_iobs, ent_types
 
+
 def _parse_links(vocab, words, spaces, links):
     reference = Doc(vocab, words=words, spaces=spaces)
     starts = {token.idx: token.i for token in reference}
diff --git a/spacy/training/gold_io.pyx b/spacy/training/gold_io.pyx
index 1e7b3681d..2fc36e41f 100644
--- a/spacy/training/gold_io.pyx
+++ b/spacy/training/gold_io.pyx
@@ -1,4 +1,3 @@
-import json
 import warnings
 
 import srsly
@@ -6,7 +5,7 @@ import srsly
 from .. import util
 from ..errors import Warnings
 from ..tokens import Doc
-from .iob_utils import offsets_to_biluo_tags, tags_to_entities
+from .iob_utils import offsets_to_biluo_tags
 
 
 def docs_to_json(docs, doc_id=0, ner_missing_tag="O"):
@@ -23,7 +22,13 @@ def docs_to_json(docs, doc_id=0, ner_missing_tag="O"):
     json_doc = {"id": doc_id, "paragraphs": []}
     for i, doc in enumerate(docs):
         raw = None if doc.has_unknown_spaces else doc.text
-        json_para = {'raw': raw, "sentences": [], "cats": [], "entities": [], "links": []}
+        json_para = {
+            'raw': raw,
+            "sentences": [],
+            "cats": [],
+            "entities": [],
+            "links": []
+        }
         for cat, val in doc.cats.items():
             json_cat = {"label": cat, "value": val}
             json_para["cats"].append(json_cat)
@@ -35,13 +40,17 @@ def docs_to_json(docs, doc_id=0, ner_missing_tag="O"):
             if ent.kb_id_:
                 link_dict = {(ent.start_char, ent.end_char): {ent.kb_id_: 1.0}}
                 json_para["links"].append(link_dict)
-        biluo_tags = offsets_to_biluo_tags(doc, json_para["entities"], missing=ner_missing_tag)
+        biluo_tags = offsets_to_biluo_tags(
+            doc, json_para["entities"], missing=ner_missing_tag
+        )
         attrs = ("TAG", "POS", "MORPH", "LEMMA", "DEP", "ENT_IOB")
         include_annotation = {attr: doc.has_annotation(attr) for attr in attrs}
         for j, sent in enumerate(doc.sents):
             json_sent = {"tokens": [], "brackets": []}
             for token in sent:
-                json_token = {"id": token.i, "orth": token.text, "space": token.whitespace_}
+                json_token = {
+                    "id": token.i, "orth": token.text, "space": token.whitespace_
+                }
                 if include_annotation["TAG"]:
                     json_token["tag"] = token.tag_
                 if include_annotation["POS"]:
@@ -125,9 +134,14 @@ def json_to_annotations(doc):
                 else:
                     sent_starts.append(-1)
             if "brackets" in sent:
-                brackets.extend((b["first"] + sent_start_i,
-                                 b["last"] + sent_start_i, b["label"])
-                                 for b in sent["brackets"])
+                brackets.extend(
+                    (
+                        b["first"] + sent_start_i,
+                        b["last"] + sent_start_i,
+                        b["label"]
+                    )
+                    for b in sent["brackets"]
+                )
 
         example["token_annotation"] = dict(
             ids=ids,
@@ -160,6 +174,7 @@ def json_to_annotations(doc):
         )
         yield example
 
+
 def json_iterate(bytes utf8_str):
     # We should've made these files jsonl...But since we didn't, parse out
     # the docs one-by-one to reduce memory usage.