| from ...smp import * |
| from .multiple_choice import extract_answer_from_item |
| import numpy as np |
| import re |
|
|
| FAIL_MSG = 'Failed to obtain answer via API.' |
|
|
| DURATIONS = [15, 60, 600, 3600] |
| TASK_CATEGORIES = [ |
| "S2E", "S2O", "S2A", |
| "E2O", "O2E", "T2E", |
| "T2O", "T2A", "E3E", |
| "O3O", "SSS", "SOS", |
| "SAA", "T3E", "T3O", |
| "TOS", "TAA" |
| ] |
|
|
|
|
| def get_dimension_rating(data_path): |
| data = load(data_path) |
| print(data.iloc[0]) |
|
|
| duration_rating = {k: {} for k in DURATIONS} |
| for duration in DURATIONS + ['overall']: |
| duration_rating[duration] = { |
| 'overall': '', |
| 'question_category': {k: [] for k in TASK_CATEGORIES} |
| } |
|
|
| for i in range(len(data)): |
|
|
| task_ctg = data.iloc[i]['question_category'] |
|
|
| duration = data.iloc[i]['duration_group'] |
| duration_rating[duration]['question_category'][task_ctg].append(data.iloc[i]['score']) |
|
|
| duration_rating['overall']['question_category'][task_ctg].append(data.iloc[i]['score']) |
|
|
| for duration in DURATIONS + ['overall']: |
| overall_res_dur = f'{np.mean([x for x in sum(duration_rating[duration]["question_category"].values(), []) if x >= 0]):.3f}' |
| duration_rating[duration]['overall'] = overall_res_dur |
| for task_ctg in TASK_CATEGORIES: |
| task_res_dur = f'{np.mean([x for x in duration_rating[duration]["question_category"][task_ctg] if x >= 0]):.3f}' |
| duration_rating[duration]['question_category'][task_ctg] = task_res_dur |
|
|
| return duration_rating |
|
|
|
|
| def extract_option(model, input_item, dataset_name): |
| options = input_item['question'].split('\n')[1:] |
| for id, option in enumerate(options): |
| option_id = chr(ord('A') + id) + '.' |
| if option.find(option_id) >= 0: |
| input_item[chr(ord('A') + id)] = option[option.find(option_id) + len(option_id):].strip('. \n') |
| return extract_answer_from_item(model, input_item, dataset_name)['opt'] |
|
|
|
|
| def extract_characters_regex(s): |
| s = s.strip() |
| answer_prefixes = [ |
| 'The best answer is', |
| 'The correct answer is', |
| 'The answer is', |
| 'The answer', |
| 'The best option is' |
| 'The correct option is', |
| 'Best answer:' |
| 'Best option:', |
| 'Answer:', |
| 'Option:', |
| ] |
| for answer_prefix in answer_prefixes: |
| s = s.replace(answer_prefix, '') |
|
|
| if len(s.split()) > 10 and not re.search('[ABCDE]', s): |
| return '' |
| matches = re.search(r'[ABCDE]', s) |
| if matches is None: |
| return '' |
| return matches[0] |
|
|
