Datasets:
Tasks:
Image Classification
Formats:
imagefolder
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K - 10K
License:
File size: 752 Bytes
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# Ghibli Real vs AI-Generated Dataset
This dataset is provided in two forms:
### 1. `default.jsonl`
- One sample per line
- Includes: `image`, `label`, `description`, `pair_id`
- Use this for standard classification or image-text training
### 2. `pairs.jsonl`
- Real and fake images paired together
- Includes: `real_image`, `fake_image`, shared `description`, `pair_id`
- Use this for contrastive learning or meta-learning (e.g., ProtoNet)
### How to load
```python
from datasets import load_dataset
# Single image classification
samples = load_dataset("pulnip/ghibli-dataset", data_files="default.jsonl", split="train")
# Paired meta-learning structure
pairs = load_dataset("pulnip/ghibli-dataset", data_files="pairs.jsonl", split="train")
``` |