class_docstr: Semantic Textual Similarity Benchmark (STS-B).
  
  Unlike the other GLUE tasks, this is formulated as a regression problem.
  
  See https://www.tensorflow.org/datasets/catalog/glue#gluestsb.
class_docstr_tok: ["Semantic","Textual","Similarity","Benchmark","(","STS-B",")",".","Unlike","the","other","GLUE","tasks",",","this","is","formulated","as","a","regression","problem",".","See","https",":","\/\/www.tensorflow.org\/datasets\/catalog\/glue","#","gluestsb","."]
code: def spec(self):
      return {
          "sentence1": lit_types.TextSegment(),
          "sentence2": lit_types.TextSegment(),
          "label": lit_types.Scalar(min_val=0, max_val=5),
      }
  
imports: from typing import Optional
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  from lit_nlp.lib import file_cache
  from lit_nlp.lib import utils
  import pandas
  import tensorflow_datasets
label_desc: Use image node_id 5 for calling the STSBData obj's underlying member method code with example usage: obj.spec() and returns: dict