क्वार्ट्ज

सन्दर्भ:

• कोड
• गले लगाना

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

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

• विवरण :

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.

• लाइसेंस : कोई ज्ञात लाइसेंस नहीं
• संस्करण : 0.1.0
• विभाजन :

विभाजित करना	उदाहरण
'test'	784
'train'	2696
'validation'	384

• विशेषताएँ :

{
    "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"
        }
    }
}