Referências:
et
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/et')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/ht')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
isto
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/it')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
Eu iria
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/id')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
q
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/qu')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
sw
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/sw')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
zh
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/zh')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
ta
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/ta')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
º
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/th')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tr
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/tr')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
vi
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/vi')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tradução-et
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-et')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tradução-ht
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-ht')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tradução
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-it')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
id de tradução
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-id')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tradução-sw
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-sw')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tradução-zh
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-zh')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tradução-ta
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-ta')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tradução-th
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-th')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tradução-tr
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-tr')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}
tradução-vi
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:xcopa/translation-vi')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 500 |
'validation' | 100 |
- Características :
{
"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"
}
}