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generate_configs.py
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generate_configs.py
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import json
import os.path
# ['biology','earth_science','economics','psychology','robotics','stackoverflow','sustainable_living','leetcode','pony','aops','theoremqa']
for model in ['sf','qwen','e5']:
if not os.path.isdir(f"configs/{model}"):
os.makedirs(f"configs/{model}")
for task in ['biology','earth_science','economics','psychology','robotics','stackoverflow','sustainable_living']:
instructions = {
'instructions': {
'query': 'Instruct: Given a {task} post, retrieve relevant passages that help answer the post\nQuery: '
},
'instructions_long': {
'query': 'Instruct: Given a {task} post, retrieve relevant documents that help answer the post\nQuery: '
},
}
with open(f"configs/{model}/{task}.json",'w') as f:
json.dump(instructions,f,indent=2)
instructions = {
'instructions': {
'query': 'Instruct: Given a {task} question, retrieve relevant passages that help answer the question\nQuery: '
},
'instructions_long': {
'query': 'Instruct: Given a {task} question, retrieve relevant documents that help answer the question\nQuery: '
},
}
with open(f"configs/{model}/pony.json", 'w') as f:
json.dump(instructions, f, indent=2)
instructions = {
'instructions': {
'query': 'Instruct: Given a coding problem, retrieve relevant examples that help answer the problem\nQuery: '
},
}
with open(f"configs/{model}/leetcode.json", 'w') as f:
json.dump(instructions, f, indent=2)
for task in ['aops','theoremqa']:
instructions = {
'instructions': {
'query': 'Instruct: Given a Math problem, retrieve relevant examples that help answer the problem\nQuery: '
},
}
with open(f"configs/{model}/{task}.json",'w') as f:
json.dump(instructions,f,indent=2)
for model in ['grit']:
if not os.path.isdir(f"configs/{model}"):
os.makedirs(f"configs/{model}")
for task in ['biology','earth_science','economics','psychology','robotics','stackoverflow','sustainable_living']:
instructions = {
'instructions': {
'query': '<|user|>\nGiven a {task} post, retrieve relevant passages that help answer the post\n<|embed|>\n',
'document': "<|embed|>\n"
},
'instructions_long': {
'query': '<|user|>\nGiven a {task} post, retrieve relevant documents that help answer the post\n<|embed|>\n',
'document': "<|embed|>\n"
},
}
with open(f"configs/{model}/{task}.json",'w') as f:
json.dump(instructions,f,indent=2)
instructions = {
'instructions': {
'query': '<|user|>\nGiven a {task} question, retrieve relevant passages that help answer the question\n<|embed|>\n',
'document': "<|embed|>\n"
},
'instructions_long': {
'query': '<|user|>\nGiven a {task} question, retrieve relevant documents that help answer the question\n<|embed|>\n',
'document': "<|embed|>\n"
},
}
with open(f"configs/{model}/pony.json", 'w') as f:
json.dump(instructions, f, indent=2)
instructions = {
'instructions': {
'query': '<|user|>\nGiven a coding problem, retrieve relevant examples that help answer the problem\n<|embed|>\n',
'document': "<|embed|>\n"
},
}
with open(f"configs/{model}/leetcode.json", 'w') as f:
json.dump(instructions, f, indent=2)
for task in ['aops','theoremqa']:
instructions = {
'instructions': {
'query': '<|user|>\nGiven a Math problem, retrieve relevant examples that help answer the problem\n<|embed|>\n',
'document': "<|embed|>\n"
},
}
with open(f"configs/{model}/{task}.json",'w') as f:
json.dump(instructions,f,indent=2)
for model in ['inst-l','inst-xl']:
if not os.path.isdir(f"configs/{model}"):
os.makedirs(f"configs/{model}")
for task in ['biology','earth_science','economics','psychology','robotics','stackoverflow','sustainable_living']:
instructions = {
'instructions': {
'query': "Represent the {task} post for retrieving relevant paragraphs: ",
'document': "Represent the {task} paragraph for retrieval: "
},
'instructions_long': {
'query': "Represent the {task} post for retrieving relevant documents: ",
'document': "Represent the {task} document for retrieval: "
},
}
with open(f"configs/{model}/{task}.json",'w') as f:
json.dump(instructions,f,indent=2)
instructions = {
'instructions': {
'query': "Represent the Pony question for retrieving relevant paragraphs: ",
'document': "Represent the Pony paragraph for retrieval: "
},
'instructions_long': {
'query': "Represent the Pony question for retrieving relevant documents: ",
'document': "Represent the Pony document for retrieval: "
},
}
with open(f"configs/{model}/pony.json", 'w') as f:
json.dump(instructions, f, indent=2)
instructions = {
'instructions': {
'query': "Represent the Coding problem for retrieving relevant examples: ",
'document': "Represent the Coding example for retrieval: "
},
}
with open(f"configs/{model}/leetcode.json", 'w') as f:
json.dump(instructions, f, indent=2)
for task in ['aops','theoremqa']:
instructions = {
'instructions': {
'query': "Represent the Math problem for retrieving relevant examples: ",
'document': "Represent the Math example for retrieval: "
},
}
with open(f"configs/{model}/{task}.json",'w') as f:
json.dump(instructions,f,indent=2)
for model in ['bge']:
if not os.path.isdir(f"configs/{model}"):
os.makedirs(f"configs/{model}")
for task in ['biology','earth_science','economics','psychology','robotics','stackoverflow','sustainable_living']:
instructions = {
'instructions': {
'query': "Represent this {task} post for searching relevant passages: ",
},
'instructions_long': {
'query': "Represent this {task} post for searching relevant documents: ",
},
}
with open(f"configs/{model}/{task}.json",'w') as f:
json.dump(instructions,f,indent=2)
instructions = {
'instructions': {
'query': "Represent this Pony question for searching relevant passages: ",
},
'instructions_long': {
'query': "Represent this Pony question for searching relevant documents: ",
},
}
with open(f"configs/{model}/pony.json", 'w') as f:
json.dump(instructions, f, indent=2)
instructions = {
'instructions': {
'query': "Represent this Coding problem for searching relevant examples: ",
},
}
with open(f"configs/{model}/leetcode.json", 'w') as f:
json.dump(instructions, f, indent=2)
for task in ['aops','theoremqa']:
instructions = {
'instructions': {
'query': "Represent this Math problem for searching relevant examples: ",
},
}
with open(f"configs/{model}/{task}.json",'w') as f:
json.dump(instructions,f,indent=2)
for model in ['bm25','sbert','openai','cohere','voyage','google']:
if not os.path.isdir(f"configs/{model}"):
os.makedirs(f"configs/{model}")
for task in ['biology','earth_science','economics','psychology','robotics','stackoverflow','sustainable_living','leetcode','pony','aops','theoremqa']:
instructions = {
'instructions': {},
'instructions_long': {},
}
with open(f"configs/{model}/{task}.json",'w') as f:
json.dump(instructions,f,indent=2)