참고자료:
여행_대화
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:kd_conv/travel_dialogues')
- 설명 :
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.
- 라이센스 : 아파치 라이센스 2.0
- 버전 : 0.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 150 |
'train' | 1200 |
'validation' | 150 |
- 특징 :
{
"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"
}
}
여행_지식_베이스
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:kd_conv/travel_knowledge_base')
- 설명 :
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.
- 라이센스 : 아파치 라이센스 2.0
- 버전 : 0.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 1154 |
- 특징 :
{
"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"
}
}
음악_대화
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:kd_conv/music_dialogues')
- 설명 :
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.
- 라이센스 : 아파치 라이센스 2.0
- 버전 : 0.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 150 |
'train' | 1200 |
'validation' | 150 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:kd_conv/music_knowledge_base')
- 설명 :
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.
- 라이센스 : 아파치 라이센스 2.0
- 버전 : 0.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 4441 |
- 특징 :
{
"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"
}
}
영화_대화
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:kd_conv/film_dialogues')
- 설명 :
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.
- 라이센스 : 아파치 라이센스 2.0
- 버전 : 0.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 150 |
'train' | 1200 |
'validation' | 150 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:kd_conv/film_knowledge_base')
- 설명 :
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.
- 라이센스 : 아파치 라이센스 2.0
- 버전 : 0.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 8090 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:kd_conv/all_dialogues')
- 설명 :
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.
- 라이센스 : 아파치 라이센스 2.0
- 버전 : 0.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 450 |
'train' | 3600 |
'validation' | 450 |
- 특징 :
{
"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
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:kd_conv/all_knowledge_base')
- 설명 :
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.
- 라이센스 : 아파치 라이센스 2.0
- 버전 : 0.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'train' | 13685 |
- 특징 :
{
"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"
}
}