doc2dial

הפניות:

דיאלוג_דומיין

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:doc2dial/dialogue_domain')
  • תיאור :
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.
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.1
  • פיצולים :
לְפַצֵל דוגמאות
'train' 3474
'validation' 661
  • תכונות :
{
    "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

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:doc2dial/document_domain')
  • תיאור :
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.
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.1
  • פיצולים :
לְפַצֵל דוגמאות
'train' 3416
  • תכונות :
{
    "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

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:doc2dial/doc2dial_rc')
  • תיאור :
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.
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.1
  • פיצולים :
לְפַצֵל דוגמאות
'train' 20431
'validation' 3972
  • תכונות :
{
    "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"
    }
}