woz_dialogue

তথ্যসূত্র:

en

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:woz_dialogue/en')
  • বর্ণনা :
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.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 1.0.0
  • বিভাজন :
বিভক্ত উদাহরণ
'test' 400
'train' 600
'validation' 200
  • বৈশিষ্ট্য :
{
    "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"
            }
        }
    ]
}

ডি

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:woz_dialogue/de')
  • বর্ণনা :
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.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 1.0.0
  • বিভাজন :
বিভক্ত উদাহরণ
'test' 400
'train' 600
'validation' 200
  • বৈশিষ্ট্য :
{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:woz_dialogue/de_en')
  • বর্ণনা :
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.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 1.0.0
  • বিভাজন :
বিভক্ত উদাহরণ
'test' 400
'train' 600
'validation' 200
  • বৈশিষ্ট্য :
{
    "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"
            }
        }
    ]
}

এটা

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:woz_dialogue/it')
  • বর্ণনা :
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.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 1.0.0
  • বিভাজন :
বিভক্ত উদাহরণ
'test' 400
'train' 600
'validation' 200
  • বৈশিষ্ট্য :
{
    "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"
            }
        }
    ]
}

এটা_en

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:woz_dialogue/it_en')
  • বর্ণনা :
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.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 1.0.0
  • বিভাজন :
বিভক্ত উদাহরণ
'test' 400
'train' 600
'validation' 200
  • বৈশিষ্ট্য :
{
    "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"
            }
        }
    ]
}