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@@ -43,12 +43,12 @@ configs:
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  ## Dataset Summary
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- This dataset is a **filtered subset of MuirBench**, containing only samples with **exactly 2 or 3 input images per question**.
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  The goal of this subset is to support controlled experiments on **multi-image visual reasoning**, where the number of images is fixed and small, enabling clearer analysis of compositional and relational reasoning in Vision-Language Models (VLMs).
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  - Original dataset: **MuirBench**
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- - Filter criterion: `len(image_list) ∈ {2, 3}`
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  - Modality: Image + Text
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  - Task type: Multi-image visual reasoning / VQA-style QA
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@@ -62,7 +62,7 @@ Each sample contains (a subset of the original fields):
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  |----------------|-------------------|-------------|
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  | `question` | string | The input question |
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  | `image_list` | list of images | A list of 2 or 3 images (stored as bytes) |
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- | `count` | int | Number of images (`2` or `3`) |
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  | `choices`* | list (optional) | Multiple-choice options (if applicable) |
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  | `answer`* | string/int | Ground-truth answer |
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  | `task`* | string | Task category |
@@ -92,7 +92,7 @@ This dataset was created by:
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  1. Loading the original MuirBench dataset
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  2. Counting the number of images per sample (`len(image_list)`)
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- 3. Filtering samples where the image count is exactly 2 or 3
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  4. Releasing the filtered subset as a standalone dataset for research convenience
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  No annotations were modified.
 
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  ## Dataset Summary
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+ This dataset is a **filtered subset of MuirBench**, containing only samples with **exactly 2 input images per question**.
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  The goal of this subset is to support controlled experiments on **multi-image visual reasoning**, where the number of images is fixed and small, enabling clearer analysis of compositional and relational reasoning in Vision-Language Models (VLMs).
49
 
50
  - Original dataset: **MuirBench**
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+ - Filter criterion: `len(image_list) ∈ {2}`
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  - Modality: Image + Text
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  - Task type: Multi-image visual reasoning / VQA-style QA
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  |----------------|-------------------|-------------|
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  | `question` | string | The input question |
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  | `image_list` | list of images | A list of 2 or 3 images (stored as bytes) |
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+ | `count` | int | Number of images (`2`) |
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  | `choices`* | list (optional) | Multiple-choice options (if applicable) |
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  | `answer`* | string/int | Ground-truth answer |
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  | `task`* | string | Task category |
 
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  1. Loading the original MuirBench dataset
94
  2. Counting the number of images per sample (`len(image_list)`)
95
+ 3. Filtering samples where the image count is exactly 2
96
  4. Releasing the filtered subset as a standalone dataset for research convenience
97
 
98
  No annotations were modified.