منابع:
en
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:woz_dialogue/en')
- شرح :
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.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیمات :
| شکاف | مثال ها |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- امکانات :
{
"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
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:woz_dialogue/de')
- شرح :
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.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیمات :
| شکاف | مثال ها |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- امکانات :
{
"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
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:woz_dialogue/de_en')
- شرح :
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.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیمات :
| شکاف | مثال ها |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- امکانات :
{
"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"
}
}
]
}
آی تی
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:woz_dialogue/it')
- شرح :
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.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیمات :
| شکاف | مثال ها |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- امکانات :
{
"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
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:woz_dialogue/it_en')
- شرح :
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.
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.0.0
- تقسیمات :
| شکاف | مثال ها |
|---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- امکانات :
{
"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"
}
}
]
}