# Manual Prompt-Aligned AI Image Dataset

## Description
This dataset contains manually generated AI images created from a fixed, predefined set of prompts. Each image is directly aligned to its corresponding prompt file and generated across multiple image generation models.


## Prompt Alignment
Each image is generated directly from a corresponding prompt file found in ./prompts. 

## Directory Structure
```

images/
├── dalle/
│   ├── p001.png
│   ├── p002.png
│   └── ...
├── midjourney/
│   ├── p001.png
│   └── ...
├── bing/
│   ├── p001.jpg
│   └── ...
├── stable_diffusion/
│   ├── p001.png
│   └── ...
├── ideogram/
│   ├── p001.png
│   └── ...
└── nanobanana/
    ├── p001.png
    └── ...
prompts/
├── p001.txt
└── ...
```

## Generators Used
- DALL-E
- Midjourney (In Progress)
- Bing (MAI-Image-1 Model)
- Stable Diffusion (In Progress)
- Ideogram (In Progress)
- FLUX (skipped due to required paid credits)
- Nano Banana


## Metadata Inference

Metadata is derived implicitly from file paths:

- `generator` → parent directory name under `images/`
- `prompt_id` → filename (e.g., `p042`)
- `prompt_text` → contents of `prompts/p042.txt`

Example derived record:

```python
{
  "image_path": ".../images/dalle/p042.png", # note that all images in bing folder are jpg
  "generator": "dalle",
  "prompt_id": "p042",
  "prompt_text": "...contents of prompts/p042.txt..."
}
```
## Limitations

This dataset was manually generated and is therefore limited in scale and generator coverage.