config_sentence_transformers.json

{
  "__version__": {
    "sentence_transformers": "2.2.2",
    "transformers": "4.55.2",
    "pytorch": "2.8.0+cu128"
  },
  "prompts": {
    "retrieval_IN": {
      "q_text": "encode query for same document retrieval: ",
      "pos_text": "encode document for same retrieval: "
    },
    "retrieval_OUT": {
      "q_text": "encode query for different document retrieval: ",
      "pos_text": "encode document for different retrieval: "
    },
    "retrieval_MIXED": {
      "q_text": "encode query for mixed document retrieval: ",
      "pos_text": "encode document for mixed retrieval: "
    },
    "retrieval_inventor": {
      "q_text": "encode query for same inventor document retrieval: ",
      "pos_text": "encode document for same inventor retrieval: "
    },
    "title2full": {
      "title": "encode title query for document retrieval: ",
      "full_text": "encode document for retrieval: "
    },
    "problem2full": {
      "problem": "encode problem query for document retrieval: ",
      "full_text": "encode document for retrieval: "
    },
    "effect2full": {
      "effect": "encode effect query for document retrieval: ",
      "full_text": "encode document for retrieval: "
    },
    "effect2substance": {
      "effect": "encode effect query for substance retrieval: ",
      "substance": "encode substance for retrieval: "
    },
    "problem2solution": {
      "problem": "encode problem query for solution retrieval: ",
      "solution": "encode solution for retrieval: "
    },
    "para_problem": {
      "text1": "encode problem for problem paraphrase: ",
      "text2": "encode problem for problem paraphrase: "
    },
    "para_solution": {
      "text1": "encode solution for solution paraphrase: ",
      "text2": "encode solution for solution paraphrase: "
    },
    "class_text2ipc3": "encode document for ipc classification: ",
    "class_bloom": "encode document for bloom prediction classification: ",
    "class_nli_oldnew": {
      "q_text": "encode citing document for pair classification: ",
      "t_text": "encode cited document for pair classification: "
    },
    "clusters_ext_full_ipc": "encode document for same ipc clustering: ",
    "clusters_inventor": "encode document for same inventors clustering: "
  },
  "default_prompt_name": null,
  "similarity_fn_name": "cosine",
  "model_type": "SentenceTransformer"
}