code: def test_docs(self):
      # TODO: because all lambda texts are not translated yet, only take 1k translated texts
      # return self.dataset['test']
      texts = [
          item["text"]
          for item in self.dataset["test"]
          if item["text"] != ""
      ][:1000]
      # remove last 。
      texts = [text[:-1] if text[-1] == "。" else text for text in texts]
      return texts
  
imports: import inspect
  from .lambada import LambadaOpenAI
  from lm_eval.base import rf
  import lm_eval.datasets.lambada_ja.lambada_ja
  from lm_eval.metrics import mean, perplexity
label_desc: Use image node_id 1 for calling the LambadaOpenAIMultilingualJapanese obj's underlying member method code with example usage: obj.test_docs() and returns: texts