README.md

---
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 |