kd_konv

Referensi:

dialog_perjalanan

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:kd_conv/travel_dialogues')
  • Keterangan :
KdConv is a Chinese multi-domain Knowledge-driven Conversionsation dataset, grounding the topics in multi-turn conversations to knowledge graphs. KdConv contains 4.5K conversations from three domains (film, music, and travel), and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related topics and natural transition between multiple topics, while the corpus can also used for exploration of transfer learning and domain adaptation.
  • Lisensi : Lisensi Apache 2.0
  • Versi : 0.0.0
  • Perpecahan :
Membelah Contoh
'test' 150
'train' 1200
'validation' 150
  • Fitur :
{
    "messages": {
        "feature": {
            "message": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "attrs": {
                "feature": {
                    "attrname": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "attrvalue": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "name": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    }
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

basis_pengetahuan_perjalanan

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:kd_conv/travel_knowledge_base')
  • Keterangan :
KdConv is a Chinese multi-domain Knowledge-driven Conversionsation dataset, grounding the topics in multi-turn conversations to knowledge graphs. KdConv contains 4.5K conversations from three domains (film, music, and travel), and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related topics and natural transition between multiple topics, while the corpus can also used for exploration of transfer learning and domain adaptation.
  • Lisensi : Lisensi Apache 2.0
  • Versi : 0.0.0
  • Perpecahan :
Membelah Contoh
'train' 1154
  • Fitur :
{
    "head_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "kb_triplets": {
        "feature": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

musik_dialog

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:kd_conv/music_dialogues')
  • Keterangan :
KdConv is a Chinese multi-domain Knowledge-driven Conversionsation dataset, grounding the topics in multi-turn conversations to knowledge graphs. KdConv contains 4.5K conversations from three domains (film, music, and travel), and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related topics and natural transition between multiple topics, while the corpus can also used for exploration of transfer learning and domain adaptation.
  • Lisensi : Lisensi Apache 2.0
  • Versi : 0.0.0
  • Perpecahan :
Membelah Contoh
'test' 150
'train' 1200
'validation' 150
  • Fitur :
{
    "messages": {
        "feature": {
            "message": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "attrs": {
                "feature": {
                    "attrname": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "attrvalue": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "name": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    }
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

basis_pengetahuan_musik

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:kd_conv/music_knowledge_base')
  • Keterangan :
KdConv is a Chinese multi-domain Knowledge-driven Conversionsation dataset, grounding the topics in multi-turn conversations to knowledge graphs. KdConv contains 4.5K conversations from three domains (film, music, and travel), and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related topics and natural transition between multiple topics, while the corpus can also used for exploration of transfer learning and domain adaptation.
  • Lisensi : Lisensi Apache 2.0
  • Versi : 0.0.0
  • Perpecahan :
Membelah Contoh
'train' 4441
  • Fitur :
{
    "head_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "kb_triplets": {
        "feature": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

film_dialog

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:kd_conv/film_dialogues')
  • Keterangan :
KdConv is a Chinese multi-domain Knowledge-driven Conversionsation dataset, grounding the topics in multi-turn conversations to knowledge graphs. KdConv contains 4.5K conversations from three domains (film, music, and travel), and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related topics and natural transition between multiple topics, while the corpus can also used for exploration of transfer learning and domain adaptation.
  • Lisensi : Lisensi Apache 2.0
  • Versi : 0.0.0
  • Perpecahan :
Membelah Contoh
'test' 150
'train' 1200
'validation' 150
  • Fitur :
{
    "messages": {
        "feature": {
            "message": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "attrs": {
                "feature": {
                    "attrname": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "attrvalue": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "name": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    }
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

film_pengetahuan_basis

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:kd_conv/film_knowledge_base')
  • Keterangan :
KdConv is a Chinese multi-domain Knowledge-driven Conversionsation dataset, grounding the topics in multi-turn conversations to knowledge graphs. KdConv contains 4.5K conversations from three domains (film, music, and travel), and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related topics and natural transition between multiple topics, while the corpus can also used for exploration of transfer learning and domain adaptation.
  • Lisensi : Lisensi Apache 2.0
  • Versi : 0.0.0
  • Perpecahan :
Membelah Contoh
'train' 8090
  • Fitur :
{
    "head_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "kb_triplets": {
        "feature": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

semua_dialog

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:kd_conv/all_dialogues')
  • Keterangan :
KdConv is a Chinese multi-domain Knowledge-driven Conversionsation dataset, grounding the topics in multi-turn conversations to knowledge graphs. KdConv contains 4.5K conversations from three domains (film, music, and travel), and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related topics and natural transition between multiple topics, while the corpus can also used for exploration of transfer learning and domain adaptation.
  • Lisensi : Lisensi Apache 2.0
  • Versi : 0.0.0
  • Perpecahan :
Membelah Contoh
'test' 450
'train' 3600
'validation' 450
  • Fitur :
{
    "messages": {
        "feature": {
            "message": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "attrs": {
                "feature": {
                    "attrname": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "attrvalue": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "name": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    }
                },
                "length": -1,
                "id": null,
                "_type": "Sequence"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

semua_pengetahuan_basis

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

ds = tfds.load('huggingface:kd_conv/all_knowledge_base')
  • Keterangan :
KdConv is a Chinese multi-domain Knowledge-driven Conversionsation dataset, grounding the topics in multi-turn conversations to knowledge graphs. KdConv contains 4.5K conversations from three domains (film, music, and travel), and 86K utterances with an average turn number of 19.0. These conversations contain in-depth discussions on related topics and natural transition between multiple topics, while the corpus can also used for exploration of transfer learning and domain adaptation.
  • Lisensi : Lisensi Apache 2.0
  • Versi : 0.0.0
  • Perpecahan :
Membelah Contoh
'train' 13685
  • Fitur :
{
    "head_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "kb_triplets": {
        "feature": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}