ccaligned_multilingual

Références:

documents-zz_TR

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:ccaligned_multilingual/documents-zz_TR')
  • Descriptif :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
  • Licence : Aucune licence connue
  • Version : 1.0.0
  • Fractionnements :
Diviser Exemples
'train' 41
  • Caractéristiques :
{
    "Domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Source_URL": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Target_URL": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "en_XX",
            "zz_TR"
        ],
        "id": null,
        "_type": "Translation"
    }
}

phrases-zz_TR

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:ccaligned_multilingual/sentences-zz_TR')
  • Descriptif :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
  • Licence : Aucune licence connue
  • Version : 1.0.0
  • Fractionnements :
Diviser Exemples
'train' 34
  • Caractéristiques :
{
    "translation": {
        "languages": [
            "en_XX",
            "zz_TR"
        ],
        "id": null,
        "_type": "Translation"
    },
    "LASER_similarity": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}

documents-tz_MA

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:ccaligned_multilingual/documents-tz_MA')
  • Descriptif :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
  • Licence : Aucune licence connue
  • Version : 1.0.0
  • Fractionnements :
Diviser Exemples
'train' 4
  • Caractéristiques :
{
    "Domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Source_URL": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Target_URL": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "en_XX",
            "tz_MA"
        ],
        "id": null,
        "_type": "Translation"
    }
}

phrases-tz_MA

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:ccaligned_multilingual/sentences-tz_MA')
  • Descriptif :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
  • Licence : Aucune licence connue
  • Version : 1.0.0
  • Fractionnements :
Diviser Exemples
'train' 33
  • Caractéristiques :
{
    "translation": {
        "languages": [
            "en_XX",
            "tz_MA"
        ],
        "id": null,
        "_type": "Translation"
    },
    "LASER_similarity": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}

documents-ak_GH

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:ccaligned_multilingual/documents-ak_GH')
  • Descriptif :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
  • Licence : Aucune licence connue
  • Version : 1.0.0
  • Fractionnements :
Diviser Exemples
'train' 249
  • Caractéristiques :
{
    "Domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Source_URL": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Target_URL": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "translation": {
        "languages": [
            "en_XX",
            "ak_GH"
        ],
        "id": null,
        "_type": "Translation"
    }
}

phrases-ak_GH

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:ccaligned_multilingual/sentences-ak_GH')
  • Descriptif :
CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).
  • Licence : Aucune licence connue
  • Version : 1.0.0
  • Fractionnements :
Diviser Exemples
'train' 478
  • Caractéristiques :
{
    "translation": {
        "languages": [
            "en_XX",
            "ak_GH"
        ],
        "id": null,
        "_type": "Translation"
    },
    "LASER_similarity": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}