conv_ai_3

อ้างอิง:

• รหัส
• กอดหน้า

conv_ai_3

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:conv_ai_3/conv_ai_3')

• คำอธิบาย :

The Conv AI 3 challenge is organized as part of the Search-oriented Conversational AI (SCAI) EMNLP workshop in 2020. The main aim of the conversational systems is to return an appropriate answer in response to the user requests. However, some user requests might be ambiguous. In Information Retrieval (IR) settings such a situation is handled mainly through the diversification of search result page. It is however much more challenging in dialogue settings. Hence, we aim to study the following situation for dialogue settings: 
- a user is asking an ambiguous question (where ambiguous question is a question to which one can return > 1 possible answers)
- the system must identify that the question is ambiguous, and, instead of trying to answer it directly, ask a good clarifying question.

• ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
• เวอร์ชัน : 1.0.0
• แยก :

• คุณสมบัติ :

{
    "topic_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "initial_request": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "topic_desc": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "clarification_need": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "facet_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "facet_desc": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}