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Fixed extra spaces in annotated text #1

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Fixed extra spaces in annotated text #1

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34 changes: 21 additions & 13 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,21 +24,29 @@ def convert_dataturks_to_spacy(dataturks_JSON_FilePath):
data = json.loads(line)
text = data['content']
entities = []
for annotation in data['annotation']:
#only a single point in text annotation.
point = annotation['points'][0]
labels = annotation['label']
# handle both list of labels or a single label.
if not isinstance(labels, list):
labels = [labels]

for label in labels:
#dataturks indices are both inclusive [start, end] but spacy is not [start, end)
entities.append((point['start'], point['end'] + 1 ,label))

data_annotations = data['annotation']
if data_annotations is not None:
for annotation in data_annotations:
#only a single point in text annotation.
point = annotation['points'][0]
labels = annotation['label']
# handle both list of labels or a single label.
if not isinstance(labels, list):
labels = [labels]

for label in labels:
point_start = point['start']
point_end = point['end']
point_text = point['text']

lstrip_diff = len(point_text) - len(point_text.lstrip())
rstrip_diff = len(point_text) - len(point_text.rstrip())
if lstrip_diff != 0:
point_start = point_start + lstrip_diff
if rstrip_diff != 0:
point_end = point_end - rstrip_diff
entities.append((point_start, point_end + 1 , label))
training_data.append((text, {"entities" : entities}))

return training_data
except Exception as e:
logging.exception("Unable to process " + dataturks_JSON_FilePath + "\n" + "error = " + str(e))
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