conv_ai_3

참고자료:

• 암호
• 포옹하는 얼굴

conv_ai_3

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

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

• 설명 :

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.

• 라이센스 : 알려진 라이센스 없음
• 버전 : 1.0.0
• 분할 :

• 특징 :

{
    "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"
    }
}