مراجع:
en
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:woz_dialogue/en')
- توضیحات :
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 :
تقسیم کنید | نمونه ها |
---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- ویژگی ها :
{
"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')
- توضیحات :
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 :
تقسیم کنید | نمونه ها |
---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- ویژگی ها :
{
"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')
- توضیحات :
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 :
تقسیم کنید | نمونه ها |
---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- ویژگی ها :
{
"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"
}
}
]
}
آن را
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:woz_dialogue/it')
- توضیحات :
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 :
تقسیم کنید | نمونه ها |
---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- ویژگی ها :
{
"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')
- توضیحات :
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 :
تقسیم کنید | نمونه ها |
---|---|
'test' | 400 |
'train' | 600 |
'validation' | 200 |
- ویژگی ها :
{
"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"
}
}
]
}