config_sentence_transformers.json

{
    "__version__": {
      "sentence_transformers": "2.7.0",
      "transformers": "4.37.2",
      "pytorch": "2.0.1+cu121"
    },
    "prompts": {
      "fiqa": "Instruction: Given a financial question, retrieve user replies that best answer the question. Query: ", 
      "dbpedia": "Instruction: Given a query, retrieve relevant entity descriptions from DBPedia. Query: ", 
      "CmedqaRetrieval": "Instruction: 为这个医疗问题检索相关回答。 Query: ", 
      "nfcorpus": "Instruction: Given a question, retrieve relevant documents that best answer the question. Query: ", 
      "touche2020": "Instruction: Given a question, retrieve detailed and persuasive arguments that answer the question. Query: ", 
      "CovidRetrieval": "Instruction: 为这个问题检索相关政策回答。 Query: ", 
      "scifact": "Instruction: Given a scientific claim, retrieve documents that support or refute the claim. Query: ", 
      "scidocs": "Instruction: Given a scientific paper title, retrieve paper abstracts that are cited by the given paper. Query: ", 
      "nq": "Instruction: Given a question, retrieve Wikipedia passages that answer the question. Query: ", 
      "T2Retrieval": "Instruction: 为这个问题检索相关段落。 Query: ", 
      "VideoRetrieval": "Instruction: 为这个电影标题检索相关段落。 Query: ",
      "DuRetrieval": "Instruction: 为这个问题检索相关百度知道回答。 Query: ", 
      "MMarcoRetrieval": "Instruction: 为这个查询检索相关段落。 Query: ", 
      "hotpotqa": "Instruction: Given a multi-hop question, retrieve documents that can help answer the question. Query: ",
      "quora": "Instruction: Given a question, retrieve questions that are semantically equivalent to the given question. Query: ",
      "climate-fever": "Instruction: Given a claim about climate change, retrieve documents that support or refute the claim. Query: ",
      "arguana": "Instruction: Given a claim, find documents that refute the claim. Query: ", 
      "fever": "Instruction: Given a claim, retrieve documents that support or refute the claim. Query: ", 
      "trec-covid": "Instruction: Given a query on COVID-19, retrieve documents that answer the query. Query: ", 
      "msmarco": "Instruction: Given a web search query, retrieve relevant passages that answer the query. Query: ", 
      "EcomRetrieval": "Instruction: 为这个查询检索相关商品标题。 Query: ", 
      "MedicalRetrieval": "Instruction: 为这个医学问题检索相关回答。 Query: ",
      "CAQstack":"Instruction: Given a question, retrieve detailed question descriptions from Stackexchange that are duplicates to the given question. Query: "
    },
    "default_prompt_name": null
  }