tmu_gfm_ชุดข้อมูล

ข้อมูลอ้างอิง:

ใช้คำสั่งต่อไปนี้เพื่อโหลดชุดข้อมูลนี้ใน TFDS:

ds = tfds.load('huggingface:tmu_gfm_dataset')
  • คำอธิบาย :
A dataset for GEC metrics with manual evaluations of grammaticality, fluency, and meaning preservation for system outputs. More detail about the creation of the dataset can be found in Yoshimura et al. (2020).
  • ใบอนุญาต : ไม่ทราบใบอนุญาต
  • เวอร์ชัน : 1.1.0
  • แยก :
แยก ตัวอย่าง
'train' 4221
  • คุณสมบัติ :
{
    "source": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "output": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "grammer": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "fluency": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "meaning": {
        "feature": {
            "dtype": "int32",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "system": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "ave_g": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "ave_f": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "ave_m": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}