metadata
language:
- en
size_categories:
- 100K<n<1M
VideoEspresso
This dataset is the multi-image version.
Leaderboard
| Model | Params | Frames | Overall | Narrative Analysis | Event Dynamic | Preparation Steps | Causal Analysis | Theme Analysis | Contextual Analysis | Influence Analysis | Role Analysis | Interaction Analysis | Behavior Analysis | Emotion Analysis | Cooking Process | Traffic Analysis | Situation Analysis |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LLaVA-Video | 72B | 64 | 66.3% | 68.4% | 66.2% | 74.5% | 62.7% | 62.3% | 71.6% | 62.5% | 63.5% | 67.7% | 63.2% | 60.0% | 75.5% | 76.7% | 74.0% |
| LLaVA-OneVision | 72B | 64 | 63.2% | 76.0% | 61.8% | 71.4% | 57.5% | 62.3% | 68.8% | 62.5% | 55.6% | 58.1% | 56.1% | 63.1% | 77.4% | 70.0% | 74.0% |
| InternVL2.5 | 38B | 16 | 59.9% | 65.8% | 54.1% | 66.3% | 57.3% | 55.7% | 63.3% | 56.9% | 54.0% | 53.2% | 63.2% | 60.0% | 73.6% | 70.0% | 72.0% |
| gemini-1.5-pro | - | 128 | 44.2% | 55.7% | 42.0% | 50.0% | 41.3% | 34.4% | 53.2% | 29.2% | 39.7% | 40.3% | 38.6% | 47.7% | 58.5% | 50.0% | 54.0% |
| Kangaroo | 8B | 64 | 44.1% | 41.8% | 43.3% | 49.0% | 42.7% | 34.4% | 44.0% | 61.1% | 52.4% | 41.9% | 33.3% | 38.5% | 52.8% | 53.3% | 38.0% |
| Qwen-Max | - | 4 | 42.7% | 44.3% | 35.7% | 45.9% | 39.7% | 44.3% | 54.1% | 43.1% | 47.6% | 35.5% | 45.6% | 41.5% | 49.1% | 46.7% | 46.0% |
| gemini-1.5-flash | - | 128 | 39.8% | 59.5% | 45.2% | 38.8% | 34.7% | 32.8% | 45.9% | 30.6% | 42.9% | 43.6% | 33.3% | 38.5% | 41.5% | 36.7% | 46.0% |
| LongVA | 7B | 128 | 39.7% | 40.5% | 33.8% | 43.9% | 35.9% | 42.6% | 42.2% | 51.4% | 47.6% | 40.3% | 35.1% | 32.3% | 39.6% | 56.7% | 48.0% |
| Qwen-VL-Chat | 7B | 24 | 36.2% | 49.4% | 28.7% | 35.7% | 32.4% | 44.3% | 39.5% | 47.2% | 31.8% | 30.7% | 40.4% | 36.9% | 34.0% | 43.3% | 44.0% |
| VideoChat2-Mistral | 7B | 16 | 32.1% | 31.7% | 28.7% | 27.6% | 34.3% | 36.1% | 27.5% | 31.9% | 31.8% | 43.6% | 28.1% | 38.5% | 20.8% | 36.7% | 30.0% |
| Chat-UniVi-v1.5 | 7B | 64 | 25.5% | 24.1% | 22.9% | 21.4% | 24.2% | 27.9% | 30.3% | 30.6% | 25.4% | 27.4% | 22.8% | 30.8% | 18.9% | 36.7% | 28.0% |
| SliME | 8B | 64 | 24.8% | 19.0% | 24.2% | 26.5% | 27.0% | 19.7% | 21.1% | 30.6% | 28.6% | 29.0% | 19.3% | 21.5% | 30.2% | 20.0% | 16.0% |
| Video-XL | 7B | 64 | 24.6% | 25.3% | 28.0% | 22.5% | 26.5% | 23.0% | 21.1% | 26.4% | 20.6% | 27.4% | 28.1% | 18.5% | 13.2% | 36.7% | 18.0% |
| Long-LLava | 7B | 64 | 13.8% | 8.9% | 16.6% | 19.4% | 13.9% | 16.4% | 12.8% | 13.9% | 14.3% | 12.9% | 1.8% | 29.2% | 7.6% | 3.3% | 8.0% |
| ShareGPT4Video | 8B | 16 | 8.0% | 8.9% | 10.8% | 12.2% | 8.0% | 11.5% | 8.3% | 6.9% | 7.9% | 8.1% | 0.0% | 7.7% | 3.8% | 3.3% | 4.0% |
Contact Us
If you have any questions or want to submit your checkpoints, feel free to reach out to us via email:
Citation:
@article{han2024videoespresso,
title={VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection},
author={Han, Songhao and Huang, Wei and Shi, Hairong and Zhuo, Le and Su, Xiu and Zhang, Shifeng and Zhou, Xu and Qi, Xiaojuan and Liao, Yue and Liu, Si},
journal={arXiv preprint arXiv:2411.14794},
year={2024}
}