cdsc

তথ্যসূত্র:

• কোড
• আলিঙ্গন মুখ

cdsc-e

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:cdsc/cdsc-e')

• বর্ণনা :

Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wróblewska and Krasnowska-Kieraś (2017) for a detailed description of the resource.

• লাইসেন্স : CC BY-NC-SA 4.0
• সংস্করণ : 1.1.0
• বিভাজন :

বিভক্ত	উদাহরণ
'test'	1000
'train'	8000
'validation'	1000

• বৈশিষ্ট্য :

{
    "pair_ID": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "sentence_A": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence_B": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "entailment_judgment": {
        "num_classes": 3,
        "names": [
            "NEUTRAL",
            "CONTRADICTION",
            "ENTAILMENT"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

cdsc-r

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:cdsc/cdsc-r')

• বর্ণনা :

Polish CDSCorpus consists of 10K Polish sentence pairs which are human-annotated for semantic relatedness and entailment. The dataset may be used for the evaluation of compositional distributional semantics models of Polish. The dataset was presented at ACL 2017. Please refer to the Wróblewska and Krasnowska-Kieraś (2017) for a detailed description of the resource.

• লাইসেন্স : CC BY-NC-SA 4.0
• সংস্করণ : 1.1.0
• বিভাজন :

বিভক্ত	উদাহরণ
'test'	1000
'train'	8000
'validation'	1000

• বৈশিষ্ট্য :

{
    "pair_ID": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "sentence_A": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence_B": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "relatedness_score": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}