def create_seed_prompts()

in evolve-instruct/evolve.py [0:0]

• 14 lines of code
• 6 McCabe index (conditional complexity)

    def create_seed_prompts(self):
        """
        Turn self.seed_data into a list of strings of text self.source_text_list
        Each text string can represent as little as a word, or as much as document.
        Just has to be representative of some concept or body of text.

        :return: None
        """

        import os

        if isinstance(self.seed_data, str) and os.path.exists(self.seed_data):
            data = load_dataset("json", data_files=self.seed_data)
            self.seed_text_list = []
            for d in data['train']:
                s = ""
                if isinstance(self.column_names, str):
                    s = d[self.column_names]
                else:
                    for col in self.column_names:
                        s += d[col] + "\n"
                self.seed_text_list.append(s.strip())
            assert self.seed_text_list, "data import failed, got empty list"