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--- |
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language: |
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- en |
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license: apache-2.0 |
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size_categories: |
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- n<1K |
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task_categories: |
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- question-answering |
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pretty_name: Mantis-Eval |
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dataset_info: |
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- config_name: mantis_eval |
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features: |
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- name: id |
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dtype: string |
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- name: question_type |
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dtype: string |
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- name: question |
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dtype: string |
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- name: images |
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sequence: image |
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- name: options |
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sequence: string |
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- name: answer |
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dtype: string |
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- name: data_source |
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dtype: string |
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- name: category |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 479770102 |
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num_examples: 217 |
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download_size: 473031413 |
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dataset_size: 479770102 |
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configs: |
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- config_name: mantis_eval |
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data_files: |
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- split: test |
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path: mantis_eval/test-* |
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--- |
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## Overview |
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This is a newly curated dataset to evaluate multimodal language models' capability to reason over multiple images. More details are shown in https://tiger-ai-lab.github.io/Mantis/. |
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### Statistics |
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This evaluation dataset contains 217 human-annotated challenging multi-image reasoning problems. |
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### Leaderboard |
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We list the current results as follows: |
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|
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| Models | Size | Mantis-Eval | |
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|:------------------|:-----|:------------| |
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| LLaVA OneVision | 72B | 77.60 | |
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| LLaVA OneVision | 7B | 64.20 | |
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| GPT-4V | - | 62.67 | |
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| Mantis-SigLIP | 8B | 59.45 | |
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| Mantis-Idefics2 | 8B | 57.14 | |
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| Mantis-CLIP | 8B | 55.76 | |
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| VILA | 8B | 51.15 | |
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| BLIP-2 | 13B | 49.77 | |
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| Idefics2 | 8B | 48.85 | |
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| InstructBLIP | 13B | 45.62 | |
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| LLaVA-V1.6 | 7B | 45.62 | |
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| CogVLM | 17B | 45.16 | |
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| LLaVA OneVision | 0.5B | 39.60 | |
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| Qwen-VL-Chat | 7B | 39.17 | |
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| Emu2-Chat | 37B | 37.79 | |
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| VideoLLaVA | 7B | 35.04 | |
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| Mantis-Flamingo | 9B | 32.72 | |
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| LLaVA-v1.5 | 7B | 31.34 | |
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| Kosmos2 | 1.6B | 30.41 | |
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| Idefics1 | 9B | 28.11 | |
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| Fuyu | 8B | 27.19 | |
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| OpenFlamingo | 9B | 12.44 | |
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| Otter-Image | 9B | 14.29 | |
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### Citation |
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If you are using this dataset, please cite our work with |
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``` |
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@inproceedings{Jiang2024MANTISIM, |
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title={MANTIS: Interleaved Multi-Image Instruction Tuning}, |
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author={Dongfu Jiang and Xuan He and Huaye Zeng and Cong Wei and Max W.F. Ku and Qian Liu and Wenhu Chen}, |
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publisher={arXiv2405.01483} |
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year={2024}, |
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} |
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``` |
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