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