Referensi:
Gunakan perintah berikut untuk memuat dataset ini di TFDS:
ds = tfds.load('huggingface:tmu_gfm_dataset')
- Deskripsi :
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).
- Lisensi : Tidak ada lisensi yang diketahui
- Versi : 1.1.0
- Perpecahan :
| Membelah | Contoh |
|---|---|
'train' | 4221 |
- Fitur :
{
"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"
}
}