class_docstr: SAT (Scholastic Aptitude Test) Analogy Questions is a dataset comprising 374 multiple-choice analogy questions.
code: def manual_download_instructions(self):
      return (
          "To use SAT Analogy Questions you have to download it manually. Please "
          "email Peter Turney to request the data (https://www.apperceptual.com). "
          "Once you receive a download link for the dataset, supply the local path "
          "as the `data_dir` arg: "
          "`datasets.load_dataset('sat_analogies', data_dir='path/to/folder/folder_name')`"
      )
  
file_path: lm-evaluation-harness/lm_eval/datasets/sat_analogies/sat_analogies.py
imports: import os
  import datasets
label_desc: Use image node_id 1 for calling the SatAnalogies obj's underlying member method code with example usage: obj.manual_download_instructions() and returns: str