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