class_docstr: @inproceedings{hu2015lcsts,
  title={LCSTS: A Large Scale Chinese Short Text Summarization Dataset},
  author={Hu, Baotian and Chen, Qingcai and Zhu, Fangze},
  booktitle={Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  pages={1967--1972},
  year={2015}
  }
class_docstr_tok: ["@","inproceedings","{","hu2015lcsts",",","title=","{","LCSTS",":","A","Large","Scale","Chinese","Short","Text","Summarization","Dataset","}",",","author=","{","Hu",",","Baotian","and","Chen",",","Qingcai","and","Zhu",",","Fangze","}",",","booktitle=","{","Proceedings","of","the","2015","Conference","on","Empirical","Methods","in","Natural","Language","Processing","}",",","pages=","{","1967","--","1972","}",",","year=","{","2015","}","}"]
code: def get_examples(self, data_dir, split):
      path = os.path.join(data_dir, f"{split}.jsonl")
  
      with open(path, encoding="utf8") as f:
          for line in f:
              example_json = json.loads(line)
              example = InputExample(
                  meta={
                      "text": example_json["text"],
                  },
                  tgt_text=example_json["summary"],
              )
              examples.append(example)
  
file_path: OpenPrompt/openprompt/data_utils/ZH/summarization.py
imports: from .processor import *
label_desc: Use image node_id 2 for calling the LCSTS obj's underlying member method code with example usage: obj.get_examples(data_dir, split) without return types