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1. add eval_func for sela and compatibility to others

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2. llm extract score (use all code block and execution results)
3. add argument for custom dataset dir
4. dataset custom requirement support
This commit is contained in:
Yizhou Chi 2024-10-12 17:16:51 +08:00
parent eda9322361
commit 3a57060e25
11 changed files with 202 additions and 38 deletions
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14
expo/insights/instruction_generator.py
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@ -37,12 +37,18 @@ class InstructionGenerator:
def __init__(self, state, use_fixed_insights, from_scratch):
self.state = state
self.file_path = state["exp_pool_path"]
self.dataset_info_path = f"{self.data_config['datasets_dir']}/{state['task']}/dataset_info.json"
with open(self.dataset_info_path, "r") as file:
self.dataset_info = json.load(file)
if state["custom_dataset_dir"]:
self.dataset_info = "xxx"
else:
dataset_info_path = f"{self.data_config['datasets_dir']}/{state['task']}/dataset_info.json"
with open(dataset_info_path, "r") as file:
self.dataset_info = json.load(file)
self.use_fixed_insights = use_fixed_insights
self.proposer = SolutionDesigner()
self.from_scratch = from_scratch
if self.file_path is None:
self.from_scratch = True
else:
self.from_scratch = from_scratch
async def initialize(self):
if self.from_scratch: