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