مراجع:
مصر
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/egy')
- الوصف :
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.
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 0.0.0
- الانقسامات :
| انشق، مزق | أمثلة |
|---|---|
'train' | 350 |
- الميزات :
{
"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"
}
}
ليف
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/lev')
- الوصف :
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.
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 0.0.0
- الانقسامات :
| انشق، مزق | أمثلة |
|---|---|
'train' | 350 |
- الميزات :
{
"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"
}
}
جلف
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/glf')
- الوصف :
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.
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 0.0.0
- الانقسامات :
| انشق، مزق | أمثلة |
|---|---|
'train' | 350 |
- الميزات :
{
"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"
}
}
المونسنيور
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/mgr')
- الوصف :
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.
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 0.0.0
- الانقسامات :
| انشق، مزق | أمثلة |
|---|---|
'train' | 350 |
- الميزات :
{
"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"
}
}
مراجع:
مصر
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/egy')
- الوصف :
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.
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 0.0.0
- الانقسامات :
| انشق، مزق | أمثلة |
|---|---|
'train' | 350 |
- الميزات :
{
"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"
}
}
ليف
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/lev')
- الوصف :
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.
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 0.0.0
- الانقسامات :
| انشق، مزق | أمثلة |
|---|---|
'train' | 350 |
- الميزات :
{
"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"
}
}
جلف
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/glf')
- الوصف :
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.
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 0.0.0
- الانقسامات :
| انشق، مزق | أمثلة |
|---|---|
'train' | 350 |
- الميزات :
{
"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"
}
}
المونسنيور
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:arabic_pos_dialect/mgr')
- الوصف :
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.
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 0.0.0
- الانقسامات :
| انشق، مزق | أمثلة |
|---|---|
'train' | 350 |
- الميزات :
{
"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"
}
}