パラパット

参考文献:

エルエン

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:para_pat/el-en')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 10855
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "el",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

CS-ja

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:para_pat/cs-en')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 78977
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "cs",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

エンフ

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:para_pat/en-hu')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 42629
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "en",
            "hu"
        ],
        "id": null,
        "_type": "Translation"
    }
}

エンロ

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:para_pat/en-ro')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 48789
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "en",
            "ro"
        ],
        "id": null,
        "_type": "Translation"
    }
}

エンスク

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:para_pat/en-sk')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 23410
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "en",
            "sk"
        ],
        "id": null,
        "_type": "Translation"
    }
}

エンウク

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:para_pat/en-uk')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 89226
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "en",
            "uk"
        ],
        "id": null,
        "_type": "Translation"
    }
}

es-fr

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:para_pat/es-fr')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 32553
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "es",
            "fr"
        ],
        "id": null,
        "_type": "Translation"
    }
}

フロル

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:para_pat/fr-ru')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 10889
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "fr",
            "ru"
        ],
        "id": null,
        "_type": "Translation"
    }
}

デフランス

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:para_pat/de-fr')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 1167988
  • 特徴：
{
    "translation": {
        "languages": [
            "de",
            "fr"
        ],
        "id": null,
        "_type": "Translation"
    }
}

エンジャ

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:para_pat/en-ja')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 6170339
  • 特徴：
{
    "translation": {
        "languages": [
            "en",
            "ja"
        ],
        "id": null,
        "_type": "Translation"
    }
}

エンエス

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:para_pat/en-es')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 649396
  • 特徴：
{
    "translation": {
        "languages": [
            "en",
            "es"
        ],
        "id": null,
        "_type": "Translation"
    }
}

フランス

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:para_pat/en-fr')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 12223525
  • 特徴：
{
    "translation": {
        "languages": [
            "en",
            "fr"
        ],
        "id": null,
        "_type": "Translation"
    }
}

デ・エン

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:para_pat/de-en')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 2165054
  • 特徴：
{
    "translation": {
        "languages": [
            "de",
            "en"
        ],
        "id": null,
        "_type": "Translation"
    }
}

援交

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:para_pat/en-ko')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 2324357
  • 特徴：
{
    "translation": {
        "languages": [
            "en",
            "ko"
        ],
        "id": null,
        "_type": "Translation"
    }
}

フランス

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:para_pat/fr-ja')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 313422
  • 特徴：
{
    "translation": {
        "languages": [
            "fr",
            "ja"
        ],
        "id": null,
        "_type": "Translation"
    }
}

日本語

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:para_pat/en-zh')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 4897841
  • 特徴：
{
    "translation": {
        "languages": [
            "en",
            "zh"
        ],
        "id": null,
        "_type": "Translation"
    }
}

えんる

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:para_pat/en-ru')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 4296399
  • 特徴：
{
    "translation": {
        "languages": [
            "en",
            "ru"
        ],
        "id": null,
        "_type": "Translation"
    }
}

fr-ko

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:para_pat/fr-ko')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 120607
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "fr",
            "ko"
        ],
        "id": null,
        "_type": "Translation"
    }
}

ルーク

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:para_pat/ru-uk')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 85963
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "ru",
            "uk"
        ],
        "id": null,
        "_type": "Translation"
    }
}

en-pt

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:para_pat/en-pt')
  • 説明：
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts

This dataset contains the developed parallel corpus from the open access Google
Patents dataset in 74 language pairs, comprising more than 68 million sentences
and 800 million tokens. Sentences were automatically aligned using the Hunalign algorithm
for the largest 22 language pairs, while the others were abstract (i.e. paragraph) aligned.

We demonstrate the capabilities of our corpus by training Neural Machine Translation
(NMT) models for the main 9 language pairs, with a total of 18 models.
  • ライセンス: CC BY 4.0
  • バージョン: 1.1.0
  • 分割:
スプリット例
'train' 23121
  • 特徴：
{
    "index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "family_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "en",
            "pt"
        ],
        "id": null,
        "_type": "Translation"
    }
}