References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:cosmos_qa')
- Description:
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
- License: No known license
- Version: 0.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
6963 |
'train' |
25262 |
'validation' |
2985 |
- Features:
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"answer0": {
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