কোয়ার্টজ

তথ্যসূত্র:

• কোড
• আলিঙ্গন মুখ

TFDS এ এই ডেটাসেট লোড করতে নিম্নলিখিত কমান্ডটি ব্যবহার করুন:

ds = tfds.load('huggingface:quartz')

• বর্ণনা :

QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships. Each 
question is paired with one of 405 different background sentences (sometimes short paragraphs).
The QuaRTz dataset V1 contains 3864 questions about open domain qualitative relationships. Each question is paired with 
one of 405 different background sentences (sometimes short paragraphs).

The dataset is split into train (2696), dev (384) and test (784). A background sentence will only appear in a single split.

• লাইসেন্স : কোনো পরিচিত লাইসেন্স নেই
• সংস্করণ : 0.1.0
• বিভাজন :

• বৈশিষ্ট্য :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "choices": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "label": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answerKey": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "para": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "para_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "para_anno": {
        "effect_prop": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "cause_dir_str": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "effect_dir_str": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "cause_dir_sign": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "effect_dir_sign": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "cause_prop": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        }
    },
    "question_anno": {
        "more_effect_dir": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "less_effect_dir": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "less_cause_prop": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "more_effect_prop": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "less_effect_prop": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "less_cause_dir": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        }
    }
}