Dataset · Hugging Face
allenai/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
| Author / organization | allenai |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 11.4K (as reported by Hugging Face) |
| Likes | 34 |
| Created | 2 March 2022 |
| Last updated at source | 18 January 2024 |
Popularity, last 3 days
11,445 now (-46 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- littlemex/prismyra-decision-qwen3.6-35b-a3b-nvfp4-36lModel · used to train
- jaredpalmer/kev-27bModel · used to train
- yoavipo/nativ-he-decisionModel · used to train
- littlemex/prismyra-decision-qwen3.6-35b-a3b-fp8-36lModel · used to train
- mradermacher/kev-27b-GGUFModel · used to train
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