References:
travel_dialogues
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kd_conv/travel_dialogues')
- Description:
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.
- License: Apache License 2.0
- Version: 0.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
150 |
'train' |
1200 |
'validation' |
150 |
- Features:
{
"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"
}
}
travel_knowledge_base
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kd_conv/travel_knowledge_base')
- Description:
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.
- License: Apache License 2.0
- Version: 0.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
1154 |
- Features:
{
"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"
}
}
music_dialogues
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kd_conv/music_dialogues')
- Description:
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.
- License: Apache License 2.0
- Version: 0.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
150 |
'train' |
1200 |
'validation' |
150 |
- Features:
{
"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"
}
}
music_knowledge_base
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kd_conv/music_knowledge_base')
- Description:
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.
- License: Apache License 2.0
- Version: 0.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
4441 |
- Features:
{
"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_dialogues
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kd_conv/film_dialogues')
- Description:
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.
- License: Apache License 2.0
- Version: 0.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
150 |
'train' |
1200 |
'validation' |
150 |
- Features:
{
"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_knowledge_base
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kd_conv/film_knowledge_base')
- Description:
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.
- License: Apache License 2.0
- Version: 0.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
8090 |
- Features:
{
"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"
}
}
all_dialogues
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kd_conv/all_dialogues')
- Description:
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.
- License: Apache License 2.0
- Version: 0.0.0
- Splits:
| Split | Examples |
|---|---|
'test' |
450 |
'train' |
3600 |
'validation' |
450 |
- Features:
{
"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"
}
}
all_knowledge_base
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kd_conv/all_knowledge_base')
- Description:
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.
- License: Apache License 2.0
- Version: 0.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
13685 |
- Features:
{
"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"
}
}