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Function get_human_eval

evalplus/data/humaneval.py:69–96  ·  view source on GitHub ↗

Get HumanEval from OpenAI's github repo and return as a list of parsed dicts. Returns: List[Dict[str, str]]: List of dicts with keys "prompt", "test", "entry_point" Notes: "task_id" is the identifier string for the task. "prompt" is the prompt to be used for the tas

()

Source from the content-addressed store, hash-verified

67
68
69def get_human_eval() -> Dict[str, Dict]:
70 """Get HumanEval from OpenAI's github repo and return as a list of parsed dicts.
71
72 Returns:
73 List[Dict[str, str]]: List of dicts with keys "prompt", "test", "entry_point"
74
75 Notes:
76 "task_id" is the identifier string for the task.
77 "prompt" is the prompt to be used for the task (function signature with docstrings).
78 "test" is test-cases wrapped in a `check` function.
79 "entry_point" is the name of the function.
80 """
81 # Check if human eval file exists in CACHE_DIR
82 human_eval_path = os.path.join(CACHE_DIR, "HumanEval.jsonl")
83 make_cache(
84 "https://github.com/openai/human-eval/raw/master/data/HumanEval.jsonl.gz",
85 human_eval_path,
86 )
87
88 human_eval = open(human_eval_path, "r").read().split("\n")
89 human_eval = [json.loads(line) for line in human_eval if line]
90
91 # Handle 115_max_fill.py to make its docstring well-formed
92 human_eval[115]["prompt"] = "import math\n" + human_eval[115]["prompt"].replace(
93 "import math\n", ""
94 )
95
96 return {task["task_id"]: task for task in human_eval}

Callers 2

init_plus.pyFile · 0.90

Calls 2

make_cacheFunction · 0.90
readMethod · 0.80

Tested by

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