conv_ai

참고자료:

conv_ai

TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.

ds = tfds.load('huggingface:conv_ai/conv_ai')
  • 설명 :
ConvAI is a dataset of human-to-bot conversations labelled for quality. This data can be used to train a metric for evaluating dialogue systems. Moreover, it can be used in the development of chatbots themselves: it contains the information on the quality of utterances and entire dialogues, that can guide a dialogue system in search of better answers.
  • 라이센스 : 알려진 라이센스 없음
  • 버전 : 1.0.0
  • 분할 :
나뉘다
'train' 2778
  • 특징 :
{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "dialogId": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "users": [
        {
            "userType": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        }
    ],
    "evaluation": [
        {
            "breadth": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "userId": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "quality": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "engagement": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        }
    ],
    "thread": [
        {
            "evaluation": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "userId": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "time": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        }
    ]
}