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1.93 kB
| language: | |
| - en | |
| license: cc-by-4.0 | |
| size_categories: | |
| - 1K<n<10K | |
| task_categories: | |
| - question-answering | |
| - visual-question-answering | |
| - multiple-choice | |
| pretty_name: MRAG-Bench | |
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: string | |
| - name: aspect | |
| dtype: string | |
| - name: scenario | |
| dtype: string | |
| - name: image | |
| dtype: image | |
| - name: gt_images | |
| sequence: image | |
| - name: question | |
| dtype: string | |
| - name: A | |
| dtype: string | |
| - name: B | |
| dtype: string | |
| - name: C | |
| dtype: string | |
| - name: D | |
| dtype: string | |
| - name: answer_choice | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| - name: image_type | |
| dtype: string | |
| - name: source | |
| dtype: string | |
| - name: retrieved_images | |
| sequence: image | |
| splits: | |
| - name: test | |
| num_bytes: 4740745536 | |
| num_examples: 1353 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/test-* | |
| # ICLR 2025 Submision 9148 | |
| # MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models | |
| ## This is an anonymous repo for openreview https://openreview.net/forum?id=Usklli4gMc | |
| ## Dataset Description | |
| The dataset contains the following fields: | |
| | Field Name | Description | | |
| | :--------- | :---------- | | |
| | `id` | Unique identifier for the example | | |
| | `aspect`| Aspect type for the example | | |
| | `scenario` | The type of scenario associated with the entry | | |
| | `image`| Contains image data in byte format | | |
| | `gt_images`| A list of top 5 ground-truth images information | | |
| | `question` | Question asked about the image | | |
| | `A` | Choice A for the question | | |
| | `B` | Choice B for the question | | |
| | `C` | Choice C for the question | | |
| | `D` | Choice D for the question | | |
| |`answer_choice`| Correct choice identifier | | |
| | `answer` | Correct answer to the question | | |
| | `image_type`| Type of image object | | |
| | `source`| Source of the image | | |
| | `retrieved_images`| A list of top 5 retrieved images information by CLIP | | |