Использованная литература:
ru
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:woz_dialogue/en')
- Описание :
Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.
- Лицензия : Нет известной лицензии.
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Функции :
{
"dialogue_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"dialogue": [
{
"turn_label": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"asr": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"system_transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"turn_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"belief_state": [
{
"slots": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"act": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"system_acts": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
]
}
де
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:woz_dialogue/de')
- Описание :
Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.
- Лицензия : Нет известной лицензии.
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Функции :
{
"dialogue_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"dialogue": [
{
"turn_label": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"asr": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"system_transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"turn_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"belief_state": [
{
"slots": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"act": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"system_acts": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
]
}
де_ен
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:woz_dialogue/de_en')
- Описание :
Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.
- Лицензия : Нет известной лицензии.
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Функции :
{
"dialogue_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"dialogue": [
{
"turn_label": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"asr": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"system_transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"turn_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"belief_state": [
{
"slots": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"act": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"system_acts": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
]
}
это
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:woz_dialogue/it')
- Описание :
Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.
- Лицензия : Нет известной лицензии.
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Функции :
{
"dialogue_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"dialogue": [
{
"turn_label": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"asr": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"system_transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"turn_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"belief_state": [
{
"slots": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"act": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"system_acts": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
]
}
it_en
Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:
ds = tfds.load('huggingface:woz_dialogue/it_en')
- Описание :
Wizard-of-Oz (WOZ) is a dataset for training task-oriented dialogue systems. The dataset is designed around the task of finding a restaurant in the Cambridge, UK area. There are three informable slots (food, pricerange,area) that users can use to constrain the search and six requestable slots (address, phone, postcode plus the three informable slots) that the user can ask a value for once a restaurant has been offered.
- Лицензия : Нет известной лицензии.
- Версия : 1.0.0
- Расколы :
| Расколоть | Примеры |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Функции :
{
"dialogue_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"dialogue": [
{
"turn_label": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"asr": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"system_transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"turn_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"belief_state": [
{
"slots": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"act": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"transcript": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"system_acts": {
"feature": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
]
}