Datasets:
Add loading and evaluation section to README
Browse files
README.md
CHANGED
|
@@ -26,13 +26,13 @@ VLM-SubtleBench is a benchmark designed to evaluate VLMs on **subtle comparative
|
|
| 26 |
|
| 27 |
## Benchmark Summary
|
| 28 |
|
| 29 |
-
|
|
| 30 |
|---|---|
|
| 31 |
| **Total QA pairs** | 12,923 |
|
| 32 |
| **Difference types** | 10 |
|
| 33 |
-
| **Image domains** | 6 (Natural, Industrial, Aerial, Synthetic, Medical
|
| 34 |
| **Data sources** | 14 |
|
| 35 |
-
| **
|
| 36 |
| **Splits** | test (11,688) / val (1,235) |
|
| 37 |
| **Task format** | Multiple-choice VQA + Image Difference Captioning |
|
| 38 |
|
|
@@ -52,7 +52,18 @@ The image paths preserve the original MIMIC-CXR directory hierarchy, so files ca
|
|
| 52 |
|
| 53 |
## Loading and Evaluation
|
| 54 |
|
| 55 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 56 |
|
| 57 |
## Citation
|
| 58 |
|
|
|
|
| 26 |
|
| 27 |
## Benchmark Summary
|
| 28 |
|
| 29 |
+
| | |
|
| 30 |
|---|---|
|
| 31 |
| **Total QA pairs** | 12,923 |
|
| 32 |
| **Difference types** | 10 |
|
| 33 |
+
| **Image domains** | 6 (Natural, Industrial, Aerial, Synthetic, Medical) |
|
| 34 |
| **Data sources** | 14 |
|
| 35 |
+
| **Human captions** | 1,200 |
|
| 36 |
| **Splits** | test (11,688) / val (1,235) |
|
| 37 |
| **Task format** | Multiple-choice VQA + Image Difference Captioning |
|
| 38 |
|
|
|
|
| 52 |
|
| 53 |
## Loading and Evaluation
|
| 54 |
|
| 55 |
+
### Loading the Dataset
|
| 56 |
+
|
| 57 |
+
```python
|
| 58 |
+
from datasets import load_dataset
|
| 59 |
+
|
| 60 |
+
dataset = load_dataset("KRAFTON/VLM-SubtleBench")
|
| 61 |
+
```
|
| 62 |
+
|
| 63 |
+
### Evaluation
|
| 64 |
+
|
| 65 |
+
For evaluation code and instructions, please refer to the official GitHub repository:
|
| 66 |
+
👉 https://github.com/krafton-ai/VLM-SubtleBench
|
| 67 |
|
| 68 |
## Citation
|
| 69 |
|