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Add loading and evaluation section to README

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@@ -26,13 +26,13 @@ VLM-SubtleBench is a benchmark designed to evaluate VLMs on **subtle comparative
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  ## Benchmark Summary
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- | Metric | Details |
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  |---|---|
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  | **Total QA pairs** | 12,923 |
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  | **Difference types** | 10 |
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- | **Image domains** | 6 (Natural, Industrial, Aerial, Synthetic, Medical, Game) |
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  | **Data sources** | 14 |
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- | **Captions** | 1,200 |
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  | **Splits** | test (11,688) / val (1,235) |
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  | **Task format** | Multiple-choice VQA + Image Difference Captioning |
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@@ -52,7 +52,18 @@ The image paths preserve the original MIMIC-CXR directory hierarchy, so files ca
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  ## Loading and Evaluation
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- To be added.
 
 
 
 
 
 
 
 
 
 
 
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  ## Citation
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  ## Benchmark Summary
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+ | | |
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  |---|---|
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  | **Total QA pairs** | 12,923 |
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  | **Difference types** | 10 |
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+ | **Image domains** | 6 (Natural, Industrial, Aerial, Synthetic, Medical) |
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  | **Data sources** | 14 |
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+ | **Human captions** | 1,200 |
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  | **Splits** | test (11,688) / val (1,235) |
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  | **Task format** | Multiple-choice VQA + Image Difference Captioning |
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  ## Loading and Evaluation
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+ ### Loading the Dataset
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+
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset("KRAFTON/VLM-SubtleBench")
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+ ```
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+ ### Evaluation
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+ For evaluation code and instructions, please refer to the official GitHub repository:
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+ 👉 https://github.com/krafton-ai/VLM-SubtleBench
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  ## Citation
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