class_docstr: A language pair dataset with multiple source sentences for
  each target sentence.
class_docstr_tok: ["A","language","pair","dataset","with","multiple","source","sentences","for","each","target","sentence","."]
code: def __getitem__(self, i):
      source = [src_sent.long() for src_sent in self.src[i]]
      res = {"id": i, "source": source}
      if self.tgt:
          res["target"] = self.tgt[i].long()
  
      return res
  
file_path: translate/pytorch_translate/research/multisource/multisource_data.py
imports: import numpy
  import torch
  from fairseq import data
label_desc: Use image node_id 1 for calling the MultisourceLanguagePairDataset obj's underlying member method code with example usage: obj.__getitem__(i) and returns: res