ब्रह्मांड_qa

सन्दर्भ:

• कोड
• गले लगाना

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

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

• विवरण :

Cosmos QA is a large-scale dataset of 35.6K problems that require commonsense-based reading comprehension, formulated as multiple-choice questions. It focuses on reading between the lines over a diverse collection of people's everyday narratives, asking questions concerning on the likely causes or effects of events that require reasoning beyond the exact text spans in the context

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

• विशेषताएँ :

{
    "id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer0": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer3": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}