konv_ai_3

Referensi:

• Kode
• wajah berpelukan

konv_ai_3

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

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

• Keterangan :

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.

• Lisensi : Tidak ada lisensi yang diketahui
• Versi : 1.0.0
• Perpecahan :

• Fitur :

{
    "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"
    }
}