class_docstr: Class to store examples to be run by HF or GPT3 models
class_docstr_tok: ["Class","to","store","examples","to","be","run","by","HF","or","GPT3","models"]
code: def classification_from_df(cls, df: pd.DataFrame) -> Dataset:
      examples = []
      for _, row in df.iterrows():
          # important to convert the string 'classes' back into a list
          classes_list = ast.literal_eval(str(row["classes"]))
          if any(cls[0] != " " for cls in classes_list):
              print(
                  f"WARNING: some class label from {classes_list} does not have a leading space"
              )
          example = ClassificationExample(
              prompt=row["prompt"],
              classes=classes_list,
              answer_index=row["answer_index"],
          )
          examples.append(example)
      return Dataset(examples)
  
imports: from __future__ import annotations
  from abc import ABC
  import ast
  from dataclasses import dataclass
  from typing import Iterator
  from typing_extensions import Literal
  import pandas
label_desc: Use image node_id 4 for calling the Dataset obj's underlying member method code with example usage: obj.classification_from_df(cls, df) and returns: Dataset