مراجع:
وآخرون
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/et')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language et
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ht
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/ht')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language ht
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
هو - هي
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/it')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language it
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
بطاقة تعريف
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/id')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language id
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
تشو
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/qu')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language qu
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
جنوب غرب
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/sw')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language sw
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ز
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/zh')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language zh
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
تا
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/ta')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language ta
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ذ
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/th')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language th
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
آر
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/tr')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language tr
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
سادسا
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/vi')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa language vi
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
الترجمة وآخرون
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-et')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language et
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ترجمة ht
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-ht')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language ht
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ترجمة ذلك
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-it')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language it
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
معرف الترجمة
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-id')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language id
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ترجمة-sw
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-sw')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language sw
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ترجمة ز
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-zh')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language zh
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ترجمة تا
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-ta')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language ta
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ترجمة ال
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-th')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language th
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
ترجمة آر
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-tr')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language tr
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}
الترجمة السادسة
استخدم الأمر التالي لتحميل مجموعة البيانات هذه في TFDS:
ds = tfds.load('huggingface:xcopa/translation-vi')
- وصف :
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across
languages. The dataset is the translation and reannotation of the English COPA (Roemmele et al. 2011) and covers 11 languages from 11 families and several areas around
the globe. The dataset is challenging as it requires both the command of world knowledge and the ability to generalise to new languages. All the details about the
creation of XCOPA and the implementation of the baselines are available in the paper.
Xcopa English translation for language vi
- الترخيص : لا يوجد ترخيص معروف
- الإصدار : 1.1.0
- الإنشقاقات :
| ينقسم | أمثلة |
|---|---|
'test' | 500 |
'validation' | 100 |
- سمات :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choice2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"changed": {
"dtype": "bool",
"id": null,
"_type": "Value"
}
}