doc2dial

อ้างอิง:

Dialogue_domain

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:doc2dial/dialogue_domain')
  • คำอธิบาย :
Doc2dial is dataset of goal-oriented dialogues that are grounded in the associated documents. It includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains. Compared to the prior document-grounded dialogue datasets this dataset covers a variety of dialogue scenes in information-seeking conversations.
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 1.0.1
  • แยก :
แยก ตัวอย่าง
'train' 3474
'validation' 661
  • คุณสมบัติ :
{
    "dial_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "doc_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "turns": [
        {
            "turn_id": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "role": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "da": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "references": [
                {
                    "sp_id": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "label": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    }
                }
            ],
            "utterance": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        }
    ]
}

document_domain

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:doc2dial/document_domain')
  • คำอธิบาย :
Doc2dial is dataset of goal-oriented dialogues that are grounded in the associated documents. It includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains. Compared to the prior document-grounded dialogue datasets this dataset covers a variety of dialogue scenes in information-seeking conversations.
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 1.0.1
  • แยก :
แยก ตัวอย่าง
'train' 3416
  • คุณสมบัติ :
{
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "doc_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "doc_text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "spans": [
        {
            "id_sp": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "tag": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "start_sp": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "end_sp": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "text_sp": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "title": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "parent_titles": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "id_sec": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "start_sec": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "text_sec": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "end_sec": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        }
    ],
    "doc_html_ts": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "doc_html_raw": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

doc2dial_rc

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:doc2dial/doc2dial_rc')
  • คำอธิบาย :
Doc2dial is dataset of goal-oriented dialogues that are grounded in the associated documents. It includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains. Compared to the prior document-grounded dialogue datasets this dataset covers a variety of dialogue scenes in information-seeking conversations.
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 1.0.1
  • แยก :
แยก ตัวอย่าง
'train' 20431
'validation' 3972
  • คุณสมบัติ :
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_start": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}
-

อ้างอิง:

Dialogue_domain

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:doc2dial/dialogue_domain')
  • คำอธิบาย :
Doc2dial is dataset of goal-oriented dialogues that are grounded in the associated documents. It includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains. Compared to the prior document-grounded dialogue datasets this dataset covers a variety of dialogue scenes in information-seeking conversations.
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 1.0.1
  • แยก :
แยก ตัวอย่าง
'train' 3474
'validation' 661
  • คุณสมบัติ :
{
    "dial_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "doc_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "turns": [
        {
            "turn_id": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "role": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "da": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "references": [
                {
                    "sp_id": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "label": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    }
                }
            ],
            "utterance": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        }
    ]
}

document_domain

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:doc2dial/document_domain')
  • คำอธิบาย :
Doc2dial is dataset of goal-oriented dialogues that are grounded in the associated documents. It includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains. Compared to the prior document-grounded dialogue datasets this dataset covers a variety of dialogue scenes in information-seeking conversations.
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 1.0.1
  • แยก :
แยก ตัวอย่าง
'train' 3416
  • คุณสมบัติ :
{
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "doc_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "doc_text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "spans": [
        {
            "id_sp": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "tag": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "start_sp": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "end_sp": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "text_sp": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "title": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "parent_titles": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "id_sec": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "start_sec": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "text_sec": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "end_sec": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        }
    ],
    "doc_html_ts": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "doc_html_raw": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

doc2dial_rc

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:doc2dial/doc2dial_rc')
  • คำอธิบาย :
Doc2dial is dataset of goal-oriented dialogues that are grounded in the associated documents. It includes over 4500 annotated conversations with an average of 14 turns that are grounded in over 450 documents from four domains. Compared to the prior document-grounded dialogue datasets this dataset covers a variety of dialogue scenes in information-seeking conversations.
  • ใบอนุญาต : ไม่มีใบอนุญาตที่รู้จัก
  • เวอร์ชัน : 1.0.1
  • แยก :
แยก ตัวอย่าง
'train' 20431
'validation' 3972
  • คุณสมบัติ :
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "title": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_start": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}