preprocess/qasc.py [17:32]:
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        self.task_type = "text to text"
        self.license = "unknown"

    def get_choices_and_answer_string(self, datapoint):
        answer_index = datapoint["answerKey"]
        choices_string = ""
        for i in range(len(datapoint["choices"]["label"])):
            if datapoint["choices"]["label"][i] == answer_index:
                answer_string = datapoint["choices"]["text"][i]
            choices_string += " (" + datapoint["choices"]["label"][i] + ") " + datapoint["choices"]["text"][i]
        return choices_string, answer_string

    def map_hf_dataset_to_list(self, hf_dataset, split_name):
        lines = []
        for datapoint in hf_dataset[split_name]:
            choices_string, answer_string = self.get_choices_and_answer_string(datapoint)
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preprocess/quartz.py [18:33]:
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        self.task_type = "text to text"
        self.license = "unknown"

    def get_choices_and_answer_string(self, datapoint):
        answer_index = datapoint["answerKey"]
        choices_string = ""
        for i in range(len(datapoint["choices"]["label"])):
            if datapoint["choices"]["label"][i] == answer_index:
                answer_string = datapoint["choices"]["text"][i]
            choices_string += " (" + datapoint["choices"]["label"][i] + ") " + datapoint["choices"]["text"][i]
        return choices_string, answer_string

    def map_hf_dataset_to_list(self, hf_dataset, split_name):
        lines = []
        for datapoint in hf_dataset[split_name]:
            choices_string, answer_string = self.get_choices_and_answer_string(datapoint)
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