مدير المهام2

مراجع:

رحلات جوية

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:taskmaster2/flights')
  • وصف :
Taskmaster is dataset for goal oriented conversations. The Taskmaster-2 dataset consists of 17,289 dialogs in the seven domains which include restaurants, food ordering, movies, hotels, flights, music and sports. Unlike Taskmaster-1, which includes both written "self-dialogs" and spoken two-person dialogs, Taskmaster-2 consists entirely of spoken two-person dialogs. In addition, while Taskmaster-1 is almost exclusively task-based, Taskmaster-2 contains a good number of search- and recommendation-oriented dialogs. All dialogs in this release were created using a Wizard of Oz (WOz) methodology in which crowdsourced workers played the role of a 'user' and trained call center operators played the role of the 'assistant'. In this way, users were led to believe they were interacting with an automated system that spoke using text-to-speech (TTS) even though it was in fact a human behind the scenes. As a result, users could express themselves however they chose in the context of an automated interface.
  • الترخيص : لا يوجد ترخيص معروف
  • الإصدار : 1.0.0
  • الإنشقاقات :
ينقسم أمثلة
'train' 2481
  • سمات :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
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    },
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                    "text": {
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    ]
}

طلب الطعام

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:taskmaster2/food-ordering')
  • وصف :
Taskmaster is dataset for goal oriented conversationas. The Taskmaster-2 dataset consists of 17,289 dialogs in the seven domains which include restaurants, food ordering, movies, hotels, flights, music and sports. Unlike Taskmaster-1, which includes both written "self-dialogs" and spoken two-person dialogs, Taskmaster-2 consists entirely of spoken two-person dialogs. In addition, while Taskmaster-1 is almost exclusively task-based, Taskmaster-2 contains a good number of search- and recommendation-oriented dialogs. All dialogs in this release were created using a Wizard of Oz (WOz) methodology in which crowdsourced workers played the role of a 'user' and trained call center operators played the role of the 'assistant'. In this way, users were led to believe they were interacting with an automated system that spoke using text-to-speech (TTS) even though it was in fact a human behind the scenes. As a result, users could express themselves however they chose in the context of an automated interface.
  • الترخيص : لا يوجد ترخيص معروف
  • الإصدار : 1.0.0
  • الإنشقاقات :
ينقسم أمثلة
'train' 1050
  • سمات :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
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                "dtype": "int32",
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            },
            "speaker": {
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    ]
}

الفنادق

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:taskmaster2/hotels')
  • وصف :
Taskmaster is dataset for goal oriented conversationas. The Taskmaster-2 dataset consists of 17,289 dialogs in the seven domains which include restaurants, food ordering, movies, hotels, flights, music and sports. Unlike Taskmaster-1, which includes both written "self-dialogs" and spoken two-person dialogs, Taskmaster-2 consists entirely of spoken two-person dialogs. In addition, while Taskmaster-1 is almost exclusively task-based, Taskmaster-2 contains a good number of search- and recommendation-oriented dialogs. All dialogs in this release were created using a Wizard of Oz (WOz) methodology in which crowdsourced workers played the role of a 'user' and trained call center operators played the role of the 'assistant'. In this way, users were led to believe they were interacting with an automated system that spoke using text-to-speech (TTS) even though it was in fact a human behind the scenes. As a result, users could express themselves however they chose in the context of an automated interface.
  • الترخيص : لا يوجد ترخيص معروف
  • الإصدار : 1.0.0
  • الإنشقاقات :
ينقسم أمثلة
'train' 2357
  • سمات :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
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                "dtype": "string",
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        }
    ]
}

أفلام

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:taskmaster2/movies')
  • وصف :
Taskmaster is dataset for goal oriented conversationas. The Taskmaster-2 dataset consists of 17,289 dialogs in the seven domains which include restaurants, food ordering, movies, hotels, flights, music and sports. Unlike Taskmaster-1, which includes both written "self-dialogs" and spoken two-person dialogs, Taskmaster-2 consists entirely of spoken two-person dialogs. In addition, while Taskmaster-1 is almost exclusively task-based, Taskmaster-2 contains a good number of search- and recommendation-oriented dialogs. All dialogs in this release were created using a Wizard of Oz (WOz) methodology in which crowdsourced workers played the role of a 'user' and trained call center operators played the role of the 'assistant'. In this way, users were led to believe they were interacting with an automated system that spoke using text-to-speech (TTS) even though it was in fact a human behind the scenes. As a result, users could express themselves however they chose in the context of an automated interface.
  • الترخيص : لا يوجد ترخيص معروف
  • الإصدار : 1.0.0
  • الإنشقاقات :
ينقسم أمثلة
'train' 3056
  • سمات :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
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            "index": {
                "dtype": "int32",
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            ]
        }
    ]
}

موسيقى

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:taskmaster2/music')
  • وصف :
Taskmaster is dataset for goal oriented conversationas. The Taskmaster-2 dataset consists of 17,289 dialogs in the seven domains which include restaurants, food ordering, movies, hotels, flights, music and sports. Unlike Taskmaster-1, which includes both written "self-dialogs" and spoken two-person dialogs, Taskmaster-2 consists entirely of spoken two-person dialogs. In addition, while Taskmaster-1 is almost exclusively task-based, Taskmaster-2 contains a good number of search- and recommendation-oriented dialogs. All dialogs in this release were created using a Wizard of Oz (WOz) methodology in which crowdsourced workers played the role of a 'user' and trained call center operators played the role of the 'assistant'. In this way, users were led to believe they were interacting with an automated system that spoke using text-to-speech (TTS) even though it was in fact a human behind the scenes. As a result, users could express themselves however they chose in the context of an automated interface.
  • الترخيص : لا يوجد ترخيص معروف
  • الإصدار : 1.0.0
  • الإنشقاقات :
ينقسم أمثلة
'train' 1603
  • سمات :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
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    "utterances": [
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    ]
}

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:taskmaster2/restaurant-search')
  • وصف :
Taskmaster is dataset for goal oriented conversationas. The Taskmaster-2 dataset consists of 17,289 dialogs in the seven domains which include restaurants, food ordering, movies, hotels, flights, music and sports. Unlike Taskmaster-1, which includes both written "self-dialogs" and spoken two-person dialogs, Taskmaster-2 consists entirely of spoken two-person dialogs. In addition, while Taskmaster-1 is almost exclusively task-based, Taskmaster-2 contains a good number of search- and recommendation-oriented dialogs. All dialogs in this release were created using a Wizard of Oz (WOz) methodology in which crowdsourced workers played the role of a 'user' and trained call center operators played the role of the 'assistant'. In this way, users were led to believe they were interacting with an automated system that spoke using text-to-speech (TTS) even though it was in fact a human behind the scenes. As a result, users could express themselves however they chose in the context of an automated interface.
  • الترخيص : لا يوجد ترخيص معروف
  • الإصدار : 1.0.0
  • الإنشقاقات :
ينقسم أمثلة
'train' 3276
  • سمات :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
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        "_type": "Value"
    },
    "utterances": [
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            ]
        }
    ]
}

رياضة

استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:

ds = tfds.load('huggingface:taskmaster2/sports')
  • وصف :
Taskmaster is dataset for goal oriented conversationas. The Taskmaster-2 dataset consists of 17,289 dialogs in the seven domains which include restaurants, food ordering, movies, hotels, flights, music and sports. Unlike Taskmaster-1, which includes both written "self-dialogs" and spoken two-person dialogs, Taskmaster-2 consists entirely of spoken two-person dialogs. In addition, while Taskmaster-1 is almost exclusively task-based, Taskmaster-2 contains a good number of search- and recommendation-oriented dialogs. All dialogs in this release were created using a Wizard of Oz (WOz) methodology in which crowdsourced workers played the role of a 'user' and trained call center operators played the role of the 'assistant'. In this way, users were led to believe they were interacting with an automated system that spoke using text-to-speech (TTS) even though it was in fact a human behind the scenes. As a result, users could express themselves however they chose in the context of an automated interface.
  • الترخيص : لا يوجد ترخيص معروف
  • الإصدار : 1.0.0
  • الإنشقاقات :
ينقسم أمثلة
'train' 3481
  • سمات :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
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            "index": {
                "dtype": "int32",
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                "dtype": "string",
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}