ไลฟ์ก้า

ข้อมูลอ้างอิง:

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:liveqa')
  • คำอธิบาย :
This is LiveQA, a Chinese dataset constructed from play-by-play live broadcast.
It contains 117k multiple-choice questions written by human commentators for over 1,670 NBA games,
which are collected from the Chinese Hupu website.
  • ใบอนุญาต : ไม่ทราบใบอนุญาต
  • เวอร์ชัน : 1.0.0
  • แยก :
แยก ตัวอย่าง
'train' 1670
  • คุณสมบัติ :
{
    "id": {
        "dtype": "int64",
        "id": null,
        "_type": "Value"
    },
    "passages": {
        "feature": {
            "is_question": {
                "dtype": "bool",
                "id": null,
                "_type": "Value"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "candidate1": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "candidate2": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}
,

ข้อมูลอ้างอิง:

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:liveqa')
  • คำอธิบาย :
This is LiveQA, a Chinese dataset constructed from play-by-play live broadcast.
It contains 117k multiple-choice questions written by human commentators for over 1,670 NBA games,
which are collected from the Chinese Hupu website.
  • ใบอนุญาต : ไม่ทราบใบอนุญาต
  • เวอร์ชัน : 1.0.0
  • แยก :
แยก ตัวอย่าง
'train' 1670
  • คุณสมบัติ :
{
    "id": {
        "dtype": "int64",
        "id": null,
        "_type": "Value"
    },
    "passages": {
        "feature": {
            "is_question": {
                "dtype": "bool",
                "id": null,
                "_type": "Value"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "candidate1": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "candidate2": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}