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README.md
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## Dataset Summary
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This dataset is a **filtered subset of MuirBench**, containing only samples with **exactly 2
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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
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- Modality: Image + Text
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- Task type: Multi-image visual reasoning / VQA-style QA
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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
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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
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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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| 45 |
|
| 46 |
+
This dataset is a **filtered subset of MuirBench**, containing only samples with **exactly 2 input images per question**.
|
| 47 |
|
| 48 |
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**
|
| 51 |
+
- Filter criterion: `len(image_list) ∈ {2}`
|
| 52 |
- Modality: Image + Text
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| 53 |
- Task type: Multi-image visual reasoning / VQA-style QA
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| 54 |
|
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| 62 |
|----------------|-------------------|-------------|
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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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| 65 |
+
| `count` | int | Number of images (`2`) |
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| 66 |
| `choices`* | list (optional) | Multiple-choice options (if applicable) |
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| 67 |
| `answer`* | string/int | Ground-truth answer |
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| 68 |
| `task`* | string | Task category |
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| 92 |
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| 93 |
1. Loading the original MuirBench dataset
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| 94 |
2. Counting the number of images per sample (`len(image_list)`)
|
| 95 |
+
3. Filtering samples where the image count is exactly 2
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| 96 |
4. Releasing the filtered subset as a standalone dataset for research convenience
|
| 97 |
|
| 98 |
No annotations were modified.
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