class_docstr: The 2014 Workshop on Statistical Machine Translation:
  https://aclanthology.org/W14-3302.pdf
  
  The scenario consists of 5 subsets, each of which is a parallel corpus between English and another language. The
  non-English languages include Czech, German, French, Hindi, and Russian.
  
  For each language pair, the validation and test set each includes around 3,000 examples, while the training set is
  usually much larger. We therefore randomly downsample the training set to speedup data processing.
  
  Task prompt structure:
  
      Translate {source_language} to {target_language}:
      {Hypothesis} = {Reference}
  
  Example from WMT14 Fr-En:
  
      Hypothesis: Assemblée générale
      Reference: General Assembly
code: def __init__(self, source_language, target_language):
      super().__init__()
      valid_languages = set(["cs", "de", "fr", "hi", "ru", "en"])
      self.source_language = source_language
      self.target_language = target_language
      if (
          self.source_language not in valid_languages
          or self.target_language not in valid_languages
      ):
          raise ValueError(
              "WMT14 only includes the following languages: cs, de, fr, hi, ru, en."
          )
      if self.source_language == self.target_language:
          raise ValueError(
              "The source language and the target language should be different."
          )
      if self.source_language != "en" and self.target_language != "en":
          raise ValueError("One of the languages should be English.")
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/scenarios/wmt_14_scenario.py
imports: from typing import List, Any
  from datasets import load_dataset
  from helm.common.hierarchical_logger import hlog
  from .scenario import Scenario, Instance, Reference, TRAIN_SPLIT, VALID_SPLIT, TEST_SPLIT, CORRECT_TAG, Input, Output
label_desc: Use image node_id 1 to create a new WMT14Scenario object from inherited base classes: Scenario with example: obj = WMT14Scenario(source_language, target_language)