From a6352403982da4211cb83a80ae8bdee2fc861a7b Mon Sep 17 00:00:00 2001
From: Matthew Honnibal <honnibal+gh@gmail.com>
Date: Mon, 9 Oct 2017 22:03:26 -0500
Subject: [PATCH] Add conll_ner2json converter

---
 spacy/cli/converters/conll_ner2json.py | 50 ++++++++++++++++++++++++++
 1 file changed, 50 insertions(+)
 create mode 100644 spacy/cli/converters/conll_ner2json.py

diff --git a/spacy/cli/converters/conll_ner2json.py b/spacy/cli/converters/conll_ner2json.py
new file mode 100644
index 000000000..e3bd82e7e
--- /dev/null
+++ b/spacy/cli/converters/conll_ner2json.py
@@ -0,0 +1,50 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+from ...compat import json_dumps, path2str
+from ...util import prints
+from ...gold import iob_to_biluo
+
+
+def conll_ner2json(input_path, output_path, n_sents=10, use_morphology=False):
+    """
+    Convert files in the CoNLL-2003 NER format into JSON format for use with train cli.
+    """
+    docs = read_conll_ner(input_path)
+
+    output_filename = input_path.parts[-1].replace(".conll", "") + ".json"
+    output_filename = input_path.parts[-1].replace(".conll", "") + ".json"
+    output_file = output_path / output_filename
+    with output_file.open('w', encoding='utf-8') as f:
+        f.write(json_dumps(docs))
+    prints("Created %d documents" % len(docs),
+           title="Generated output file %s" % path2str(output_file))
+
+
+def read_conll_ner(input_path):
+    text = input_path.open('r', encoding='utf-8').read()
+    i = 0
+    delimit_docs = '-DOCSTART- -X- O O'
+    output_docs = []
+    for doc in text.strip().split(delimit_docs):
+        doc = doc.strip()
+        if not doc:
+            continue
+        output_doc = []
+        for sent in doc.split('\n\n'):
+            sent = sent.strip()
+            if not sent:
+                continue
+            lines = [line.strip() for line in sent.split('\n') if line.strip()]
+            words, tags, chunks, iob_ents = zip(*[line.split() for line in lines])
+            biluo_ents = iob_to_biluo(iob_ents)
+            output_doc.append({'tokens': [
+                {'orth': w, 'tag': tag, 'ner': ent} for (w, tag, ent) in
+                zip(words, tags, biluo_ents)
+            ]})
+        output_docs.append({
+            'id': len(output_docs),
+            'paragraphs': [{'sentences': output_doc}]
+        })
+        output_doc = []
+    return output_docs