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---
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 |
|