class_docstr: WMT '14 machine-translation data, via TFDS.
class_docstr_tok: ["WMT","'14","machine-translation","data",",","via","TFDS","."]
code: def spec(self) -> Spec:
      return {
          "source": lit_types.TextSegment(),
          "source_language": lit_types.CategoryLabel(),
          "target": lit_types.TextSegment(),
          "target_language": lit_types.CategoryLabel(),
      }
  
file_path: lit/lit_nlp/examples/datasets/mt.py
imports: from collections.abc import Mapping
  from typing import Any, Optional
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  from lit_nlp.lib import file_cache
  import pandas
  import six
  import tensorflow_datasets
label_desc: Use image node_id 5 for calling the WMT14Data obj's underlying member method code with example usage: obj.spec() and returns: dict