Datasets:

RunsenXu
/

MMSI-Bench

@@ -1,80 +0,0 @@
-# MMSI-Bench
-This repo contains evaluation code for the paper "[MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence]"
-[**🌐 Homepage**](https://runsenxu.com/projects/MMSI_Bench/) | [**🤗 Dataset**](https://huggingface.co/datasets/RunsenXu/MMSI-Bench) | [**📑 Paper**] | [**💻 Code**](https://github.com/OpenRobotLab/MMSI_Bench/tree/main) | [**📖 arXiv**] |
-## 🔔News
-  **🔥[2025-05-31]: MMSI-Bench has been supported in the [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) repository.**
- **🔥[2025-05-30]: We released the ArXiv paper.**
- ## Load Dataset
-```
-from datasets import load_dataset
-vsi_bench = load_dataset("RunsenXu/MMSI-Bench")
-print(dataset)
-```
-## Evaluation
-Please refer to the [evaluation guidelines](https://github.com/open-compass/VLMEvalKit/blob/main/docs/en/Quickstart.md) of [VLMEvalKit](https://github.com/open-compass/VLMEvalKit)
-<!-- <img src="assets/radar_v1.png" width="400" /> -->
-## 🏆 MMSI-Bench Leaderboard
-| Model                        | Avg. (%) | Type         |
-|------------------------------|:--------:|:-------------|
-| 🥇 **Human Level**           | 97.2     | Baseline     |
-| 🥈 o3                        | 41.0     | Proprietary  |
-| 🥉 GPT-4.5                   | 40.3     | Proprietary  |
-| Gemini-2.5-Pro--Thinking     | 37.0     | Proprietary  |
-| Gemini-2.5-Pro               | 36.9     | Proprietary  |
-| Doubao-1.5-pro               | 33.0     | Proprietary  |
-| Qwen2.5-VL-72B               | 30.7     | Open-source  |
-| NVILA-15B                    | 30.5     | Open-source  |
-| GPT-4.1                      | 30.9     | Proprietary  |
-| GPT-4o                       | 30.3     | Proprietary  |
-| Claude-3.7-Sonnet--Thinking  | 30.2     | Proprietary  |
-| Seed1.5-VL                   | 29.7     | Proprietary  |
-| DeepSeek-VL2-Small           | 28.6     | Open-source  |
-| InternVL2.5-8B               | 28.7     | Open-source  |
-| InternVL3-78B                | 28.5     | Open-source  |
-| InternVL2.5-78B              | 28.5     | Open-source  |
-| LLaVA-OneVision-72B          | 28.4     | Open-source  |
-| InternVL2.5-2B               | 29.0     | Open-source  |
-| InternVL2.5-26B              | 28.0     | Open-source  |
-| NVILA-8B                     | 28.1     | Open-source  |
-| DeepSeek-VL2                 | 27.1     | Open-source  |
-| InternVL3-1B                 | 27.0     | Open-source  |
-| InternVL3-9B                 | 26.7     | Open-source  |
-| Qwen2.5-VL-3B                | 26.5     | Open-source  |
-| InternVL2.5-1B               | 26.1     | Open-source  |
-| InternVL2.5-4B               | 26.3     | Open-source  |
-| InternVL3-8B                 | 25.7     | Open-source  |
-| Qwen2.5-VL-7B                | 25.9     | Open-source  |
-| InternVL3-2B                 | 25.3     | Open-source  |
-| Llama-3.2-11B-Vision         | 25.4     | Open-source  |
-| 🃏 **Random Guessing**        | 25.0     | Baseline     |
-| LLaVA-OneVision-7B           | 24.5     | Open-source  |
-| DeepSeek-VL2-Tiny            | 24.0     | Open-source  |
-| Blind GPT-4o                 | 22.7     | Baseline     |
-## Acknowledgment
-MMSI-Bench makes use of data from existing image datasets: [ScanNet](http://www.scan-net.org/), [nuScenes](https://www.nuscenes.org/), [Matterport3D](https://niessner.github.io/Matterport/), [Ego4D](https://ego4d-data.org/), [AgiBot-World](https://agibot-world.cn/), [DTU](https://roboimagedata.compute.dtu.dk/?page_id=36), [DAVIS-2017](https://davischallenge.org/) ,and [Waymo](https://waymo.com/open/). We thank these teams for their open-source contributions.
-## Contact
-- Sihan Yang: sihany077@gmail.com
-- Runsen Xu:  runsxu@gmail.com
-## Citation
-**BibTeX:**
-```bibtex
-```