doc2dial

তথ্যসূত্র:

• কোড
• আলিঙ্গন মুখ

dialogue_domain

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:doc2dial/dialogue_domain')

• বর্ণনা :

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.

• লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
• সংস্করণ : 1.0.1
• বিভাজন :

বিভক্ত	উদাহরণ
'train'	3474
'validation'	661

• বৈশিষ্ট্য :

{
    "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"
            }
        }
    ]
}

নথি_ডোমেন

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:doc2dial/document_domain')

• বর্ণনা :

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.

• লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
• সংস্করণ : 1.0.1
• বিভাজন :

বিভক্ত	উদাহরণ
'train'	3416

• বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:doc2dial/doc2dial_rc')

• বর্ণনা :

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.

• লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
• সংস্করণ : 1.0.1
• বিভাজন :

বিভক্ত	উদাহরণ
'train'	20431
'validation'	3972

• বৈশিষ্ট্য :

{
    "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"
    }
}