ทาสก์มาสเตอร์1

ds = tfds.load('huggingface:taskmaster1/one_person_dialogs')

Taskmaster-1:Toward a Realistic and Diverse Dialog Dataset) is an evaluation set for commonsense question-answering in the sentence completion style of SWAG. As opposed to other automatically generated NLI datasets, CODAH is adversarially constructed by humans who can view feedback from a pre-trained model and use this information to design challenging commonsense questions. Our experimental results show that CODAH questions present a complementary extension to the SWAG dataset, testing additional modes of common sense.

{
    "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"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "segments": [
                {
                    "start_index": {
                        "dtype": "int32",
                        "id": null,
                        "_type": "Value"
                    },
                    "end_index": {
                        "dtype": "int32",
                        "id": null,
                        "_type": "Value"
                    },
                    "text": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "annotations": [
                        {
                            "name": {
                                "dtype": "string",
                                "id": null,
                                "_type": "Value"
                            }
                        }
                    ]
                }
            ]
        }
    ]
}

ds = tfds.load('huggingface:taskmaster1/woz_dialogs')

Taskmaster-1:Toward a Realistic and Diverse Dialog Dataset) is an evaluation set for commonsense question-answering in the sentence completion style of SWAG. As opposed to other automatically generated NLI datasets, CODAH is adversarially constructed by humans who can view feedback from a pre-trained model and use this information to design challenging commonsense questions. Our experimental results show that CODAH questions present a complementary extension to the SWAG dataset, testing additional modes of common sense.

{
    "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"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "segments": [
                {
                    "start_index": {
                        "dtype": "int32",
                        "id": null,
                        "_type": "Value"
                    },
                    "end_index": {
                        "dtype": "int32",
                        "id": null,
                        "_type": "Value"
                    },
                    "text": {
                        "dtype": "string",
                        "id": null,
                        "_type": "Value"
                    },
                    "annotations": [
                        {
                            "name": {
                                "dtype": "string",
                                "id": null,
                                "_type": "Value"
                            }
                        }
                    ]
                }
            ]
        }
    ]
}