TFDS اکنون از فرمت Croissant 🥐 پشتیبانی می کند! برای دانستن بیشتر مستندات را بخوانید.

این صفحه به‌وسیله ‏Cloud Translation API‏ ترجمه شده است.

xnli، xnli

مراجع:

ar

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/ar')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

bg

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/bg')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

de

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/de')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

el

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/el')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

en

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/en')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

es

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/es')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

fr

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/fr')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

سلام

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/hi')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

ru

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/ru')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

sw

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/sw')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

هفتم

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/th')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

tr

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/tr')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

ur

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/ur')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

vi

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/vi')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

zh

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/zh')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیم ها :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

all_languages

برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:

ds = tfds.load('huggingface:xnli/all_languages')

توضیحات :

XNLI is a subset of a few thousand examples from MNLI which has been translated
into a 14 different languages (some low-ish resource). As with MNLI, the goal is
to predict textual entailment (does sentence A imply/contradict/neither sentence
B) and is a classification task (given two sentences, predict one of three
labels).

مجوز : مجوز شناخته شده ای وجود ندارد
نسخه : 1.1.0
تقسیمات :

تقسیم کنید	نمونه ها
`'test'`	5010
`'train'`	392702
`'validation'`	2490

ویژگی ها :

{
    "premise": {
        "languages": [
            "ar",
            "bg",
            "de",
            "el",
            "en",
            "es",
            "fr",
            "hi",
            "ru",
            "sw",
            "th",
            "tr",
            "ur",
            "vi",
            "zh"
        ],
        "id": null,
        "_type": "Translation"
    },
    "hypothesis": {
        "languages": [
            "ar",
            "bg",
            "de",
            "el",
            "en",
            "es",
            "fr",
            "hi",
            "ru",
            "sw",
            "th",
            "tr",
            "ur",
            "vi",
            "zh"
        ],
        "num_languages": 15,
        "id": null,
        "_type": "TranslationVariableLanguages"
    },
    "label": {
        "num_classes": 3,
        "names": [
            "entailment",
            "neutral",
            "contradiction"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}