| --- |
| license: cc-by-2.0 |
| dataset_info: |
| features: |
| - name: sample_id |
| dtype: int32 |
| - name: task_instruction |
| dtype: string |
| - name: task_instance |
| struct: |
| - name: context |
| dtype: string |
| - name: images_path |
| sequence: string |
| - name: choice_list |
| sequence: string |
| - name: combined_1_images |
| sequence: string |
| - name: response |
| dtype: string |
| splits: |
| - name: ActionLocalization_test |
| num_bytes: 291199 |
| num_examples: 200 |
| - name: ActionLocalization_adv |
| num_bytes: 291199 |
| num_examples: 200 |
| - name: ActionPrediction_test |
| num_bytes: 255687 |
| num_examples: 200 |
| - name: ActionPrediction_adv |
| num_bytes: 255687 |
| num_examples: 200 |
| - name: ActionSequence_test |
| num_bytes: 262234 |
| num_examples: 200 |
| - name: ActionSequence_adv |
| num_bytes: 262234 |
| num_examples: 200 |
| - name: ALFRED_test |
| num_bytes: 112715 |
| num_examples: 200 |
| - name: ALFRED_adv |
| num_bytes: 112715 |
| num_examples: 200 |
| - name: CharacterOrder_test |
| num_bytes: 274821 |
| num_examples: 200 |
| - name: CharacterOrder_adv |
| num_bytes: 274821 |
| num_examples: 200 |
| - name: CLEVR_Change_test |
| num_bytes: 114792 |
| num_examples: 200 |
| - name: CLEVR_Change_adv |
| num_bytes: 114792 |
| num_examples: 200 |
| - name: CounterfactualInference_test |
| num_bytes: 129074 |
| num_examples: 200 |
| - name: CounterfactualInference_adv |
| num_bytes: 129074 |
| num_examples: 200 |
| - name: DocVQA_test |
| num_bytes: 76660 |
| num_examples: 200 |
| - name: DocVQA_adv |
| num_bytes: 76660 |
| num_examples: 200 |
| - name: EgocentricNavigation_test |
| num_bytes: 559193 |
| num_examples: 200 |
| - name: EgocentricNavigation_adv |
| num_bytes: 559193 |
| num_examples: 200 |
| - name: GPR1200_test |
| num_bytes: 579624 |
| num_examples: 600 |
| - name: IEdit_test |
| num_bytes: 50907 |
| num_examples: 200 |
| - name: IEdit_adv |
| num_bytes: 50907 |
| num_examples: 200 |
| - name: ImageNeedleInAHaystack_test |
| num_bytes: 303423 |
| num_examples: 320 |
| - name: MMCoQA_test |
| num_bytes: 344623 |
| num_examples: 200 |
| - name: MMCoQA_adv |
| num_bytes: 344623 |
| num_examples: 200 |
| - name: MovingAttribute_test |
| num_bytes: 97299 |
| num_examples: 200 |
| - name: MovingAttribute_adv |
| num_bytes: 97299 |
| num_examples: 200 |
| - name: MovingDirection_test |
| num_bytes: 115832 |
| num_examples: 200 |
| - name: MovingDirection_adv |
| num_bytes: 115832 |
| num_examples: 200 |
| - name: MultiModalQA_test |
| num_bytes: 87978 |
| num_examples: 200 |
| - name: MultiModalQA_adv |
| num_bytes: 87978 |
| num_examples: 200 |
| - name: nuscenes_test |
| num_bytes: 87282 |
| num_examples: 200 |
| - name: nuscenes_adv |
| num_bytes: 87282 |
| num_examples: 200 |
| - name: ObjectExistence_test |
| num_bytes: 94139 |
| num_examples: 200 |
| - name: ObjectExistence_adv |
| num_bytes: 94139 |
| num_examples: 200 |
| - name: ObjectInteraction_test |
| num_bytes: 264032 |
| num_examples: 200 |
| - name: ObjectInteraction_adv |
| num_bytes: 264032 |
| num_examples: 200 |
| - name: ObjectShuffle_test |
| num_bytes: 289186 |
| num_examples: 200 |
| - name: ObjectShuffle_adv |
| num_bytes: 289186 |
| num_examples: 200 |
| - name: OCR_VQA_test |
| num_bytes: 80940 |
| num_examples: 200 |
| - name: OCR_VQA_adv |
| num_bytes: 80940 |
| num_examples: 200 |
| - name: SceneTransition_test |
| num_bytes: 266203 |
| num_examples: 200 |
| - name: SceneTransition_adv |
| num_bytes: 266203 |
| num_examples: 200 |
| - name: SlideVQA_test |
| num_bytes: 89462 |
| num_examples: 200 |
| - name: SlideVQA_adv |
| num_bytes: 89462 |
| num_examples: 200 |
| - name: Spot_the_Diff_test |
| num_bytes: 47823 |
| num_examples: 200 |
| - name: Spot_the_Diff_adv |
| num_bytes: 47823 |
| num_examples: 200 |
| - name: StateChange_test |
| num_bytes: 286783 |
| num_examples: 200 |
| - name: StateChange_adv |
| num_bytes: 286783 |
| num_examples: 200 |
| - name: TextNeedleInAHaystack_test |
| num_bytes: 11140730 |
| num_examples: 320 |
| - name: TQA_test |
| num_bytes: 92861 |
| num_examples: 200 |
| - name: TQA_adv |
| num_bytes: 92861 |
| num_examples: 200 |
| - name: WebQA_test |
| num_bytes: 202682 |
| num_examples: 200 |
| - name: WebQA_adv |
| num_bytes: 202682 |
| num_examples: 200 |
| - name: WikiVQA_test |
| num_bytes: 2557847 |
| num_examples: 200 |
| - name: WikiVQA_adv |
| num_bytes: 2557847 |
| num_examples: 200 |
| download_size: 12035444 |
| dataset_size: 26288285 |
| configs: |
| - config_name: default |
| data_files: |
| - split: ActionLocalization_test |
| path: preview/ActionLocalization_test-* |
| - split: ActionLocalization_adv |
| path: preview/ActionLocalization_adv-* |
| - split: ActionPrediction_test |
| path: preview/ActionPrediction_test-* |
| - split: ActionPrediction_adv |
| path: preview/ActionPrediction_adv-* |
| - split: ActionSequence_test |
| path: preview/ActionSequence_test-* |
| - split: ActionSequence_adv |
| path: preview/ActionSequence_adv-* |
| - split: ALFRED_test |
| path: preview/ALFRED_test-* |
| - split: ALFRED_adv |
| path: preview/ALFRED_adv-* |
| - split: CharacterOrder_test |
| path: preview/CharacterOrder_test-* |
| - split: CharacterOrder_adv |
| path: preview/CharacterOrder_adv-* |
| - split: CLEVR_Change_test |
| path: preview/CLEVR_Change_test-* |
| - split: CLEVR_Change_adv |
| path: preview/CLEVR_Change_adv-* |
| - split: CounterfactualInference_test |
| path: preview/CounterfactualInference_test-* |
| - split: CounterfactualInference_adv |
| path: preview/CounterfactualInference_adv-* |
| - split: DocVQA_test |
| path: preview/DocVQA_test-* |
| - split: DocVQA_adv |
| path: preview/DocVQA_adv-* |
| - split: EgocentricNavigation_test |
| path: preview/EgocentricNavigation_test-* |
| - split: EgocentricNavigation_adv |
| path: preview/EgocentricNavigation_adv-* |
| - split: GPR1200_test |
| path: preview/GPR1200_test-* |
| - split: IEdit_test |
| path: preview/IEdit_test-* |
| - split: IEdit_adv |
| path: preview/IEdit_adv-* |
| - split: ImageNeedleInAHaystack_test |
| path: preview/ImageNeedleInAHaystack_test-* |
| - split: MMCoQA_test |
| path: preview/MMCoQA_test-* |
| - split: MMCoQA_adv |
| path: preview/MMCoQA_adv-* |
| - split: MovingAttribute_test |
| path: preview/MovingAttribute_test-* |
| - split: MovingAttribute_adv |
| path: preview/MovingAttribute_adv-* |
| - split: MovingDirection_test |
| path: preview/MovingDirection_test-* |
| - split: MovingDirection_adv |
| path: preview/MovingDirection_adv-* |
| - split: MultiModalQA_test |
| path: preview/MultiModalQA_test-* |
| - split: MultiModalQA_adv |
| path: preview/MultiModalQA_adv-* |
| - split: nuscenes_test |
| path: preview/nuscenes_test-* |
| - split: nuscenes_adv |
| path: preview/nuscenes_adv-* |
| - split: ObjectExistence_test |
| path: preview/ObjectExistence_test-* |
| - split: ObjectExistence_adv |
| path: preview/ObjectExistence_adv-* |
| - split: ObjectInteraction_test |
| path: preview/ObjectInteraction_test-* |
| - split: ObjectInteraction_adv |
| path: preview/ObjectInteraction_adv-* |
| - split: ObjectShuffle_test |
| path: preview/ObjectShuffle_test-* |
| - split: ObjectShuffle_adv |
| path: preview/ObjectShuffle_adv-* |
| - split: OCR_VQA_test |
| path: preview/OCR_VQA_test-* |
| - split: OCR_VQA_adv |
| path: preview/OCR_VQA_adv-* |
| - split: SceneTransition_test |
| path: preview/SceneTransition_test-* |
| - split: SceneTransition_adv |
| path: preview/SceneTransition_adv-* |
| - split: SlideVQA_test |
| path: preview/SlideVQA_test-* |
| - split: SlideVQA_adv |
| path: preview/SlideVQA_adv-* |
| - split: Spot_the_Diff_test |
| path: preview/Spot_the_Diff_test-* |
| - split: Spot_the_Diff_adv |
| path: preview/Spot_the_Diff_adv-* |
| - split: StateChange_test |
| path: preview/StateChange_test-* |
| - split: StateChange_adv |
| path: preview/StateChange_adv-* |
| - split: TextNeedleInAHaystack_test |
| path: preview/TextNeedleInAHaystack_test-* |
| - split: TQA_test |
| path: preview/TQA_test-* |
| - split: TQA_adv |
| path: preview/TQA_adv-* |
| - split: WebQA_test |
| path: preview/WebQA_test-* |
| - split: WebQA_adv |
| path: preview/WebQA_adv-* |
| - split: WikiVQA_test |
| path: preview/WikiVQA_test-* |
| - split: WikiVQA_adv |
| path: preview/WikiVQA_adv-* |
| task_categories: |
| - visual-question-answering |
| - question-answering |
| - text-generation |
| - image-to-text |
| - video-classification |
| language: |
| - en |
| tags: |
| - Long-context |
| - MLLM |
| - VLM |
| - LLM |
| - Benchmark |
| pretty_name: MileBench |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
|
|
| # MileBench |
|
|
| ## Introduction |
|
|
| We introduce MileBench, a pioneering benchmark designed to test the **M**ult**I**modal **L**ong-cont**E**xt capabilities of MLLMs. |
| This benchmark comprises not only multimodal long contexts, but also multiple tasks requiring both comprehension and generation. |
| We establish two distinct evaluation sets, diagnostic and realistic, to systematically assess MLLMs’ long-context adaptation capacity and their ability to completetasks in long-context scenarios |
|
|
| <img src="./images/MileBench.png" width="600" alt="MileBench" align="center" /> |
|
|
| To construct our evaluation sets, we gather 6,440 multimodal long-context samples from 21 pre-existing or self-constructed datasets, |
| with an average of 15.2 images and 422.3 words each, as depicted in the figure, and we categorize them into their respective subsets. |
| <center class="half"> |
| <img src="./images/stat2.png" width="300" alt="stat2"/><img src="./images/stat1.png" width="300" alt="stat1"/> |
| </center> |
|
|
| ## How to use? |
|
|
| Please download MileBench_part*.tar.gz and unzip them using the following command. |
| |
| ```bash |
| for file in MileBench_part*.tar.gz |
| do |
| tar -xzvf "$file" |
| done |
| ``` |
| |
| Then please refer to [Code for MileBench](https://github.com/MileBench/MileBench?tab=readme-ov-file#-dataset-preparation) to evaluate. |
| |
| ## Links |
| |
| - **Homepage:** [MileBench Homepage](https://milebench.github.io/) |
| - **Repository:** [MileBench GitHub](https://github.com/MileBench/MileBench) |
| - **Paper:** [Arxiv](https://arxiv.org/abs/2404.18532) |
| - **Point of Contact:** [Dingjie Song](mailto:bbsngg@outlook.com) |
| |
| ## Citation |
| |
| If you find this project useful in your research, please consider citing: |
| ```BibTeX |
| @article{song2024milebench, |
| title={MileBench: Benchmarking MLLMs in Long Context}, |
| author={Song, Dingjie and Chen, Shunian and Chen, Guiming Hardy and Yu, Fei and Wan, Xiang and Wang, Benyou}, |
| journal={arXiv preprint arXiv:2404.18532}, |
| year={2024} |
| } |
| ``` |
