ब्रह्मांड_qa

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

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

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    "context": {
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    "question": {
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    },
    "answer0": {
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}