{
  "language": "en",
  "path_for_UniEval": {
    "summarization": "path to unieval-sum",
    "dialogue": "path to unieval-dialog",
    "data2text": "path to unieval-sum"
  },
  "category": {
    "brainstorming": {
      "GPT": [
        "language organization",
        "relevance",
        "creativity",
        "practicality",
        "reasonableness"
      ],
      "Metrics": [
        "Distinct"
      ],
      "UniEval": [
        "summarization-fluency",
        "data2text-naturalness",
        "data2text-informativeness"
      ]
    },
    "chat": {
      "GPT": [
        "language organization",
        "naturalness",
        "engagingness",
        "fidelity"
      ],
      "Metrics": [
        "Distinct"
      ],
      "UniEval": [
        "summarization-fluency",
        "dialogue-naturalness",
        "dialogue-coherence",
        "dialogue-understandability",
        "data2text-naturalness",
        "data2text-informativeness"
      ]
    },
    "classification": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
        "Precision",
        "Recall",
        "F1 score",
        "CHRF"
      ],
      "UniEval": [
        "summarization-fluency",
        "data2text-naturalness",
        "data2text-informativeness"
      ]
    },
    "closed_qa": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
        "BLEU",
        "ROUGE",
        "BERTScore",
        "CHRF"
      ],
      "UniEval": [
        "summarization-fluency",
        "data2text-naturalness",
        "data2text-informativeness"
      ]
    },
    "extraction": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
        "Precision",
        "Recall",
        "F1 score",
        "CHRF"
      ],
      "UniEval": [
        "summarization-fluency",
        "data2text-naturalness",
        "data2text-informativeness"
      ]
    },
    "generation": {
      "GPT": [
        "language organization",
        "relevance",
        "diversity"
      ],
      "Metrics": [
        "BLEU",
        "ROUGE",
        "BERTScore"
      ],
      "UniEval": [
        "summarization-fluency",
        "data2text-naturalness",
        "data2text-informativeness"
      ]
    },
    "logical_reasoning": {
      "GPT": [
        "correctness",
        "relevance",
        "reasonableness"
      ],
      "Metrics": [
        "BLEU",
        "ROUGE",
        "BERTScore",
        "CHRF"
      ],
      "UniEval": [
      ]
    },
    "open_qa": {
      "GPT": [
        "language organization",
        "relevance",
        "correctness"
      ],
      "Metrics": [
        "Distinct"
      ],
      "UniEval": [
        "summarization-fluency",
        "data2text-naturalness",
        "data2text-informativeness"
      ]
    },
    "rewriting": {
      "GPT": [
        "language organization",
        "relevance",
        "correctness"
      ],
      "Metrics": [
        "BLEU",
        "ROUGE",
        "BERTScore"
      ],
      "UniEval": [
        "summarization-fluency",
        "data2text-naturalness",
        "data2text-informativeness"
      ]
    },
    "roleplay": {
      "GPT": [
        "language organization",
        "relevance",
        "fidelity",
        "creativity"
      ],
      "Metrics": [
        "Distinct"
      ],
      "UniEval": [
        "summarization-fluency",
        "data2text-naturalness",
        "data2text-informativeness"
      ]
    },
    "summarization": {
      "GPT": [
        "language organization",
        "relevance",
        "correctness",
        "conciseness"
      ],
      "Metrics": [
        "BLEU",
        "ROUGE",
        "BERTScore",
        "CHRF"
      ],
      "UniEval": [
      ]
    },
    "Finance": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
      ],
      "UniEval": [
      ]
    },
    "Law": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
      ],
      "UniEval": [
      ]
    },
    "Education": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
      ],
      "UniEval": [
      ]
    },
    "Medical": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
      ],
      "UniEval": [
      ]
    },
    "STEM": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
      ],
      "UniEval": [
      ]
    },
    "SocialScience": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
      ],
      "UniEval": [
      ]
    },
    "Humanity": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
      ],
      "UniEval": [
      ]
    },
    "Other": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
      ],
      "UniEval": [
      ]
    },
    "ethics": {
      "GPT": [
        "relevance",
        "correctness"
      ],
      "Metrics": [
      ],
      "UniEval": [
      ]
    }
  }
}