taskmaster2

Tài liệu tham khảo:

chuyến bay

Sử dụng lệnh sau để tải tập dữ liệu này trong TFDS:

ds = tfds.load('huggingface:taskmaster2/flights')
  • Sự miêu tả :
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.
  • Giấy phép : Không có giấy phép được biết đến
  • Phiên bản : 1.0.0
  • Chia tách :
Tách ra Ví dụ
'train' 2481
  • Đặc trưng :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
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        "_type": "Value"
    },
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                    "text": {
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    ]
}

đặt đồ ăn

Sử dụng lệnh sau để tải tập dữ liệu này trong TFDS:

ds = tfds.load('huggingface:taskmaster2/food-ordering')
  • Sự miêu tả :
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.
  • Giấy phép : Không có giấy phép được biết đến
  • Phiên bản : 1.0.0
  • Chia tách :
Tách ra Ví dụ
'train' 1050
  • Đặc trưng :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
        {
            "index": {
                "dtype": "int32",
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                "_type": "Value"
            },
            "speaker": {
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                "_type": "Value"
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            ]
        }
    ]
}

khách sạn

Sử dụng lệnh sau để tải tập dữ liệu này trong TFDS:

ds = tfds.load('huggingface:taskmaster2/hotels')
  • Sự miêu tả :
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.
  • Giấy phép : Không có giấy phép được biết đến
  • Phiên bản : 1.0.0
  • Chia tách :
Tách ra Ví dụ
'train' 2357
  • Đặc trưng :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
        {
            "index": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "speaker": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
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            ]
        }
    ]
}

phim

Sử dụng lệnh sau để tải tập dữ liệu này trong TFDS:

ds = tfds.load('huggingface:taskmaster2/movies')
  • Sự miêu tả :
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.
  • Giấy phép : Không có giấy phép được biết đến
  • Phiên bản : 1.0.0
  • Chia tách :
Tách ra Ví dụ
'train' 3056
  • Đặc trưng :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
        {
            "index": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "speaker": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
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            "text": {
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                    ]
                }
            ]
        }
    ]
}

âm nhạc

Sử dụng lệnh sau để tải tập dữ liệu này trong TFDS:

ds = tfds.load('huggingface:taskmaster2/music')
  • Sự miêu tả :
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.
  • Giấy phép : Không có giấy phép được biết đến
  • Phiên bản : 1.0.0
  • Chia tách :
Tách ra Ví dụ
'train' 1603
  • Đặc trưng :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
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            "index": {
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                }
            ]
        }
    ]
}

Sử dụng lệnh sau để tải tập dữ liệu này trong TFDS:

ds = tfds.load('huggingface:taskmaster2/restaurant-search')
  • Sự miêu tả :
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.
  • Giấy phép : Không có giấy phép được biết đến
  • Phiên bản : 1.0.0
  • Chia tách :
Tách ra Ví dụ
'train' 3276
  • Đặc trưng :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
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            ]
        }
    ]
}

các môn thể thao

Sử dụng lệnh sau để tải tập dữ liệu này trong TFDS:

ds = tfds.load('huggingface:taskmaster2/sports')
  • Sự miêu tả :
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.
  • Giấy phép : Không có giấy phép được biết đến
  • Phiên bản : 1.0.0
  • Chia tách :
Tách ra Ví dụ
'train' 3481
  • Đặc trưng :
{
    "conversation_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "instruction_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "utterances": [
        {
            "index": {
                "dtype": "int32",
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            },
            "speaker": {
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}