class_docstr: Wrapper class for data config YAML
class_docstr_tok: ["Wrapper","class","for","data","config","YAML"]
docstr: Hyper-parameter alpha = 1/T for temperature-based resampling. (text
  input only) (alpha = 1 for no resampling)
docstr_tok: ["Hyper-parameter","alpha","=","1\/T","for","temperature-based","resampling",".","(","text","input","only",")","(","alpha","=","1","for","no","resampling",")"]
code: def sampling_text_alpha(self):
      """Hyper-parameter alpha = 1/T for temperature-based resampling. (text
      input only) (alpha = 1 for no resampling)"""
      return self.config.get("sampling_text_alpha", 1.0)
  
imports: import logging
  from pathlib import Path
  from typing import Dict, List, NamedTuple, Optional
  import torch
  from fairseq.data import ConcatDataset, Dictionary, ResamplingDataset
  from fairseq.data import data_utils
  from fairseq.data.audio.speech_to_text_dataset import S2TDataConfig, SpeechToTextDataset, SpeechToTextDatasetCreator
label_desc: Use image node_id 5 for calling the S2TJointDataConfig obj's underlying member method code with example usage: obj.sampling_text_alpha() and returns: self