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b5beb60 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 | from ...smp import *
from ...utils import can_infer
FAIL_MSG = 'Failed to obtain answer via API.'
def get_gpt4_ICE():
example_1 = """
Hint: Please answer the question requiring an integer answer and provide the final value,
e.g., 1, 2, 3, at the end.\n
Question: Which number is missing?\n
Model response: The number missing in the sequence is 14.\n
Extracted answer: 14
"""
example_2 = """
Hint: Please answer the question requiring a floating-point number with one decimal place and provide the final value,
e.g., 1.2, 1.3, 1.4, at the end.\n
Question: What is the fraction of females facing the camera?\n
Model response: The fraction of females facing the camera is 0.6,
which means that six out of ten females in the group are facing the camera.\n
Extracted answer: 0.6
"""
example_3 = """
Hint: Please answer the question requiring a floating-point number with two decimal places and provide the final value,
e.g., 1.23, 1.34, 1.45, at the end.\n
Question: How much money does Luca need to buy a sour apple candy and a butter-scotch candy? (Unit: $)\n
Model response: Luca needs $1.45 to buy a sour apple candy and a butterscotch candy.\n
Extracted answer: 1.45
"""
example_4 = """
Hint: Please answer the question requiring a Python list as an answer and provide the final list,
e.g., [1, 2, 3], [1.2, 1.3, 1.4], at the end.\n
Question: Between which two years does the line graph saw its maximum peak?\n
Model response: The line graph saw its maximum peak between 2007 and 2008.\n
Extracted answer: [2007, 2008]
"""
example_5 = """
Hint: Please answer the question and provide the correct option letter, e.g., A, B, C, D, at the end.\n
Question: What fraction of the shape is blue?\n
Choices: (A) 3/11 (B) 8/11 (C) 6/11 (D) 3/5\n
Model response: The correct answer is (B) 8/11.\n
Extracted answer: B
"""
return [example_1, example_2, example_3, example_4, example_5]
def build_mathvista_gpt4_prompt(line):
task_description = """
Please read the following example.
Then extract the answer from the model response and type it at the end of the prompt.\n
"""
question = line['question']
prediction = str(line['prediction'])
prompt = task_description
examples = get_gpt4_ICE()
for example in examples:
prompt += example + '\n'
prompt += question + '\n'
prompt += 'Model respone: ' + prediction
prompt += 'Extracted answer:'
return prompt
def list_to_dict(lst):
return {chr(65 + i): val for i, val in enumerate(lst)}
def post_check(line, prefetch=False):
res = None
ans = line['answer']
response = line['prediction'] if prefetch else line['res']
try:
if line['question_type'] == 'multi_choice':
ans = line['answer_option']
choices = list_to_dict(eval(line['choices']))
res = can_infer(response, choices)
if prefetch:
return res
else:
if line['answer_type'] == 'integer':
res = int(response)
ans = int(line['answer'])
elif line['answer_type'] == 'float':
res = float(response)
ans = float(line['answer'])
else:
res = str(res)
ans = str(ans)
except ValueError:
pass
if res == ans:
return res if prefetch else True
else:
return False
def MathVista_auxeval(model, line):
prompt = build_mathvista_gpt4_prompt(line)
log = ''
retry = 5
if post_check(line, prefetch=True):
res = post_check(line, prefetch=True)
return dict(log='Prefetch succeed', res=res)
for i in range(retry):
prediction = line['prediction']
res = model.generate(prompt, temperature=i * 0.5)
if FAIL_MSG in res:
log += f'Try {i}: output is {prediction}, failed to parse.\n'
else:
log += 'Succeed'
return dict(log=log, res=res)
log += 'All 5 retries failed.\n'
return dict(log=log, res='')
def MathVista_acc(result_file):
data = load(result_file)
tot = defaultdict(lambda: 0)
fetch = defaultdict(lambda: 0)
hit = defaultdict(lambda: 0)
lt = len(data)
skill_list = []
for i in range(lt):
item = data.iloc[i]
cate = item['task']
tot['Overall'] += 1
try:
skills = eval(item['skills'])
except SyntaxError:
skills = [item['skills']]
for skill in skills:
if skill not in skill_list:
skill_list.append(skill)
tot[skill] += 1
tot[cate] += 1
if item['log'] == 'Prefetch succeed':
fetch['Overall'] += 1
fetch[cate] += 1
for skill in skills:
fetch[skill] += 1
if post_check(item, prefetch=False):
hit['Overall'] += 1
hit[cate] += 1
for skill in skills:
hit[skill] += 1
res = defaultdict(list)
for k in tot.keys():
res['Task&Skill'].append(k)
res['tot'].append(tot[k])
res['prefetch'].append(fetch[k])
res['hit'].append(hit[k])
res['prefetch_rate'].append(fetch[k] / tot[k] * 100)
res['acc'].append(hit[k] / tot[k] * 100)
res = pd.DataFrame(res)
return res
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