Referensi:
semua
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:m_lama/all')
- Keterangan :
mLAMA: a multilingual version of the LAMA benchmark (T-REx and GoogleRE) covering 53 languages.
- Lisensi : Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Internasional (CC BY-NC-SA 4.0). https://creativecommons.org/licenses/by-nc-sa/4.0/
- Versi : 1.1.0
- Perpecahan :
Membelah | Contoh |
---|---|
'test' | 843143 |
- Fitur :
{
"uuid": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lineid": {
"dtype": "uint32",
"id": null,
"_type": "Value"
},
"obj_uri": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"obj_label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sub_uri": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sub_label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"template": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"predicate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}