参考文献:
など
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/et')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/ht')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
それ
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/it')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/id')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
くー
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/qu')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
スイス
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/sw')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/zh')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
た
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/ta')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
番目
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/th')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/tr')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
ヴィ
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/vi')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳など
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-et')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳-ht
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-ht')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳イット
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-it')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳ID
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-id')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳-SW
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-sw')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳-zh
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-zh')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳た
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-ta')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳回
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-th')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳-tr
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-tr')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}
翻訳-vi
次のコマンドを使用して、このデータセットを TFDS にロードします。
ds = tfds.load('huggingface:xcopa/translation-vi')
- 説明：
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
- ライセンス: 不明なライセンス
- バージョン: 1.1.0
- 分割:
| スプリット | 例 |
|---|---|
'test' | 500 |
'validation' | 100 |
- 特徴：
{
"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"
}
}