ডেনিশ_রাজনৈতিক_মন্তব্য

তথ্যসূত্র:

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:danish_political_comments')
  • বর্ণনা :
The dataset consists of 9008 sentences that are labelled with fine-grained polarity in the range from -2 to 2 (negative to postive). The quality of the fine-grained is not cross validated and is therefore subject to uncertainties; however, the simple polarity has been cross validated and therefore is considered to be more correct.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.9.1
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 9008
  • বৈশিষ্ট্য :
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "num_classes": 5,
        "names": [
            "2",
            "1",
            "0",
            "-1",
            "-2"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}
,

তথ্যসূত্র:

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:danish_political_comments')
  • বর্ণনা :
The dataset consists of 9008 sentences that are labelled with fine-grained polarity in the range from -2 to 2 (negative to postive). The quality of the fine-grained is not cross validated and is therefore subject to uncertainties; however, the simple polarity has been cross validated and therefore is considered to be more correct.
  • লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
  • সংস্করণ : 0.9.1
  • বিভাজন :
বিভক্ত উদাহরণ
'train' 9008
  • বৈশিষ্ট্য :
{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "target": {
        "num_classes": 5,
        "names": [
            "2",
            "1",
            "0",
            "-1",
            "-2"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}