Références :
fr
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:woz_dialogue/en')
- Description :
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.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Caractéristiques :
{
"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"
}
}
]
}
de
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:woz_dialogue/de')
- Description :
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.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Caractéristiques :
{
"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"
}
}
]
}
de_en
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:woz_dialogue/de_en')
- Description :
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.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Caractéristiques :
{
"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"
}
}
]
}
il
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:woz_dialogue/it')
- Description :
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.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Caractéristiques :
{
"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_fr
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:woz_dialogue/it_en')
- Description :
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.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- Caractéristiques :
{
"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"
}
}
]
}