code: def conll_ner2json(input_data, **kwargs):
      
      delimit_docs = "-DOCSTART- -X- O O"
      output_docs = []
      for doc in input_data.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
docs: Convert files in the CoNLL-2003 NER format into JSON format for use with
      train cli.