อ้างอิง:
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 : ไม่มีใบอนุญาตที่รู้จัก
- เวอร์ชั่น : 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"
}
}