Referencje:
np
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/egy')
- Opis :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
- Licencja : Brak znanej licencji
- Wersja : 0.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 350 |
- Cechy :
{
"fold": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subfold": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"segments": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"pos_tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
lew
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/lev')
- Opis :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
- Licencja : Brak znanej licencji
- Wersja : 0.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 350 |
- Cechy :
{
"fold": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subfold": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"segments": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"pos_tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
glf
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/glf')
- Opis :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
- Licencja : Brak znanej licencji
- Wersja : 0.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 350 |
- Cechy :
{
"fold": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subfold": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"segments": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"pos_tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
mgr
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/mgr')
- Opis :
The Dialectal Arabic Datasets contain four dialects of Arabic, Etyptian (EGY), Levantine (LEV), Gulf (GLF), and Maghrebi (MGR). Each dataset consists of a set of 350 manually segmented and POS tagged tweets.
- Licencja : Brak znanej licencji
- Wersja : 0.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 350 |
- Cechy :
{
"fold": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subfold": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"segments": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"pos_tags": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}