OpenCompass/opencompass/datasets/humaneval.py

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import os.path as osp
import re
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import tempfile
from typing import List
from opencompass.openicl.icl_evaluator import BaseEvaluator
class HumanEvaluator(BaseEvaluator):
"""Evaluator for human eval."""
def __init__(self, k: List[int] = [1, 10, 100]) -> None:
try:
from human_eval.data import HUMAN_EVAL, write_jsonl
from human_eval.evaluation import evaluate_functional_correctness
self.write_jsonl = write_jsonl
self.HUMAN_EVAL = HUMAN_EVAL
self.eval = evaluate_functional_correctness
except ImportError:
raise ImportError('Please install human_eval following'
'https://github.com/openai/human-eval/tree/'
'master#installation first.')
self.k = k
super().__init__()
def score(self, predictions, references):
predictions = [{
'task_id': f'HumanEval/{i}',
'completion': predictions[i]
} for i in range(len(predictions))]
with tempfile.TemporaryDirectory() as tmp_dir:
out_dir = osp.join(tmp_dir, 'human_eval.json')
self.write_jsonl(out_dir, predictions)
score = self.eval(out_dir,
self.k,
n_workers=4,
timeout=3.0,
problem_file=self.HUMAN_EVAL)
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return {f'humaneval_{k}': score[k] * 100 for k in score}
def humaneval_postprocess(text: str) -> str:
if '```' in text:
blocks = re.findall(r'```(.*?)```', text, re.DOTALL)
if len(blocks) == 0:
text = text.split('```')[1] # fall back to default strategy
else:
text = blocks[0] # fetch the first code block
if not text.startswith('\n'): # in case starting with ```python
text = text[max(text.find('\n') + 1, 0):]
if text.strip().startswith('from') or text.strip().startswith('import'):
def_idx = text.find('def')
if def_idx != -1:
text = text[max(text.find('\n', def_idx) + 1, 0):]
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text = text.split('\n\n')[0]
if text.strip().startswith('def'):
text = '\n'.join(text.split('\n')[1:])
if not text.startswith(' '):
if text.startswith(' '):
text = ' ' + text.lstrip()
else:
text = '\n'.join([' ' + line for line in text.split('\n')])
return text
def humaneval_gpt_postprocess(text: str) -> str:
"""Better answer postprocessor for better instruction-aligned models like
GPT."""
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if '```' in text:
blocks = re.findall(r'```(.*?)```', text, re.DOTALL)
if len(blocks) == 0:
text = text.split('```')[1] # fall back to default strategy
else:
text = blocks[0] # fetch the first code block
if not text.startswith('\n'): # in case starting with ```python
text = text[max(text.find('\n') + 1, 0):]
if text.strip().startswith('from') or text.strip().startswith('import'):
def_idx = text.find('def')
if def_idx != -1:
text = text[max(text.find('\n', def_idx) + 1, 0):]
text = text.split('\n\n\n')[0]
if text.strip().startswith('def'):
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text = '\n'.join(text.split('\n')[1:])
if not text.startswith(' '):
if text.startswith(' '):
text = ' ' + text.lstrip()
else:
text = '\n'.join([' ' + line for line in text.split('\n')])
return text