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- import string
- import datasets
- def doc_to_text(doc: dict) -> str:
- return doc["input_final_prompts"][0]
- def process_docs(dataset: datasets.Dataset) -> datasets.Dataset:
- def _process_doc(doc: dict) -> dict:
- out_doc = {
- "problem": doc["input_question"],
- "gold": doc["input_correct_responses"][0],
- }
- return out_doc
- dataset = dataset.select_columns(["input_question", "input_correct_responses", "input_final_prompts", "is_correct","input_question_hash","input_choice_list","output_prediction_text"])
- dataset = dataset.rename_column("is_correct","previously_is_correct")
- dataset = dataset.map(_process_doc)
- return dataset.map(_process_doc)
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