KangsanKim71/MA-EgoQA
MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents Project Page | Paper | GitHub MA-EgoQA (Multi-Agent Egocentric Video Question Answering) is a benchmark designed to evaluate models on their ability to understand multiple long-horizon egocentric video streams simultaneously collected from embodied agents. Built on the EgoLife dataset, it features 266 hours of multi-agent video where 6 people lived together for 7 days. The benchmark includes 1.7k… See the full description on the dataset page: https://huggingface.co/datasets/KangsanKim71/MA-EgoQA.
| Author / organization | KangsanKim71 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 259 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 10 March 2026 |
| Last updated at source | 12 March 2026 |
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