TFDS এখন Croissant 🥐 ফরম্যাট সমর্থন করে! আরও জানতে ডকুমেন্টেশন পড়ুন।

এই পৃষ্ঠাটি Cloud Translation API অনুবাদ করেছে।

xnli

তথ্যসূত্র:

ar

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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"
    }
}

ডি

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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"
    }
}

হাই

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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"
    }
}

ম

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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"
    }
}

উর

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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"
    }
}

সব_ভাষা

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

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

বর্ণনা :

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).

লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
সংস্করণ : 1.1.0
বিভাজন :

বিভক্ত	উদাহরণ
`'test'`	5010
`'train'`	392702
`'validation'`	2490

বৈশিষ্ট্য :

{
    "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"
    }
}