ccaligned_multilingual

Referencje:

dokumenty-zz_TR

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ccaligned_multilingual/documents-zz_TR')
  • Opis :
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).
  • Licencja : Brak znanej licencji
  • Wersja : 1.0.0
  • Podziały :
Podział Przykłady
'train' 41
  • Cechy :
{
    "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"
    }
}

zdania-zz_TR

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ccaligned_multilingual/sentences-zz_TR')
  • Opis :
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).
  • Licencja : Brak znanej licencji
  • Wersja : 1.0.0
  • Podziały :
Podział Przykłady
'train' 34
  • Cechy :
{
    "translation": {
        "languages": [
            "en_XX",
            "zz_TR"
        ],
        "id": null,
        "_type": "Translation"
    },
    "LASER_similarity": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}

dokumenty-tz_MA

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ccaligned_multilingual/documents-tz_MA')
  • Opis :
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).
  • Licencja : Brak znanej licencji
  • Wersja : 1.0.0
  • Podziały :
Podział Przykłady
'train' 4
  • Cechy :
{
    "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"
    }
}

zdania-tz_MA

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ccaligned_multilingual/sentences-tz_MA')
  • Opis :
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).
  • Licencja : Brak znanej licencji
  • Wersja : 1.0.0
  • Podziały :
Podział Przykłady
'train' 33
  • Cechy :
{
    "translation": {
        "languages": [
            "en_XX",
            "tz_MA"
        ],
        "id": null,
        "_type": "Translation"
    },
    "LASER_similarity": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}

dokumenty-ak_GH

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ccaligned_multilingual/documents-ak_GH')
  • Opis :
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).
  • Licencja : Brak znanej licencji
  • Wersja : 1.0.0
  • Podziały :
Podział Przykłady
'train' 249
  • Cechy :
{
    "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"
    }
}

zdania-ak_GH

Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:

ds = tfds.load('huggingface:ccaligned_multilingual/sentences-ak_GH')
  • Opis :
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).
  • Licencja : Brak znanej licencji
  • Wersja : 1.0.0
  • Podziały :
Podział Przykłady
'train' 478
  • Cechy :
{
    "translation": {
        "languages": [
            "en_XX",
            "ak_GH"
        ],
        "id": null,
        "_type": "Translation"
    },
    "LASER_similarity": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}