def get_score_df(self, *args) -> pd.DataFrame:
        '''
        In this case, args aren't used, since this information is taken
        directly from the corpus categories.

        Returns
        -------
        np.array, scores
        '''
        X = self._get_X() > 0
        cat_X, ncat_X = self._get_cat_and_ncat(X)
        score = self._get_llr_score(cat_X, ncat_X)
        return pd.DataFrame({
            'Term': self._get_terms(),
            'Base': cat_X.sum(axis=0).A1,
            'Counter': ncat_X.sum(axis=0).A1,
            'Score': score.statistic,
            'PValue': score.pvalue
        }).set_index('Term')

        In this case, args aren't used, since this information is taken
        directly from the corpus categories.

        Returns
        -------
        np.array, scores
        
scattertext/termscoring/loglikelihoodratio.py