class_docstr: Task to finetune RoBERTa for Winograd Schemas.
class_docstr_tok: ["Task","to","finetune","RoBERTa","for","Winograd","Schemas","."]
code: def build_dataset_for_inference(self, sample_json):
      with tempfile.NamedTemporaryFile(buffering=0) as h:
          h.write((json.dumps(sample_json) + "\n").encode("utf-8"))
          dataset = self.load_dataset(
              "disambiguate_pronoun",
              data_path=h.name,
              return_only=True,
          )
      return dataset
  
imports: import json
  import os
  import tempfile
  import numpy
  import torch
  import torch.nn.functional
  from fairseq import utils
  from fairseq.data import Dictionary, IdDataset, ListDataset, NestedDictionaryDataset, NumelDataset, NumSamplesDataset, PadDataset, SortDataset, data_utils, encoders
  from fairseq.tasks import LegacyFairseqTask, register_task
  from .None import wsc_utils
label_desc: Use image node_id 8 for calling the WSCTask obj's underlying member method code with example usage: obj.build_dataset_for_inference(sample_json) and returns: dataset