Datasets › EgoSchema
EgoSchema
EgoSchema is very long-form video question-answering dataset, and benchmark to evaluate long video understanding capabilities of modern vision and language systems. Derived from Ego4D, EgoSchema consists of over 5000 human curated multiple choice question answer pairs, spanning over 250 hours of real video data, covering a very broad range of natural human activity and behavior.
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Zero-Shot Video Question Answer | EgoSchema (fullset) | BIMBA-LLaVA-Qwen2-7B Accuracy 71.14 | BIMBA: Selective-Scan Compression for Long-Range Video... | md-mohaiminul/BIMBA | 29 | Compare |
| Zero-Shot Video Question Answer | EgoSchema (subset) | Tarsier (34B) Accuracy 68.6 | Tarsier: Recipes for Training and Evaluating Large Video... | bytedance/tarsier | 14 | Compare |
| Visual Question Answering (VQA) | EgoSchema | Lyra-Pro Acc 75.8 | Lyra: An Efficient and Speech-Centric Framework for... | dvlab-research/Lyra | 1 | Compare |
Papers archive 2025-07-28
26 shown of 26 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 112. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- EgoSchema
- EgoSchema (subset)
- EgoSchema (fullset)
3 variant names, as the archive lists them.
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