undefined443/JourneyDB-recaption

---
license: cc-by-nc-4.0
task_categories:
- image-to-text
- text-to-image
language:
- en
tags:
- journeydb
- midjourney
- recaption
- vision-language
- ai-generated
size_categories:
- 1M<n<10M
configs:
- config_name: default
data_files:
- split: train
path: data.parquet
---

# JourneyDB Recaption

Recaptioned version of the [JourneyDB](https://huggingface.co/datasets/JourneyDB/JourneyDB) dataset using Qwen vision-language models.

## Dataset Description

JourneyDB is a large-scale dataset of AI-generated images from Midjourney. This recaptioned version provides detailed visual descriptions generated by a vision-language model, which are more accurate than the original generation prompts for describing actual image content.

### Statistics

| Metric | Count |
| ---------- | ----------------- |
| Total rows | 3,389,605 |
| File size | ~246 MB (Parquet) |

### Columns

| Column | Type | Description |
| ----------------- | ------ | -------------------------------------- |
| `img_path` | string | Relative path to image in JourneyDB |
| `width` | int | Image width in pixels |
| `height` | int | Image height in pixels |
| `aesthetic_score` | float | Aesthetic score (may be null for some) |
| `caption` | string | Generated visual description |
| `model` | string | Model used for recaptioning |

### Recaption Models

| Model | Count |
| --------------------------------------------------------------------------------- | --------- |
| [Qwen/Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) | 2,249,747 |
| [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) | 1,139,858 |

- **Prompt style**: COCO-style short caption ("Describe this image in one simple sentence...")

### Preprocessing

Before recaptioning, the following filters were applied to the original JourneyDB dataset:

- **Resolution filter**: min(width, height) >= 512
- **Aspect ratio filter**: max(width, height) / min(width, height) <= 2.0

### Example

```python
{
"img_path": "./000/728deb7c-a5e2-463c-8f75-5f62dae521ac.jpg",
"width": 1024,
"height": 1024,
"aesthetic_score": 7.276855,
"caption": "A girl sits at a table with books, looking directly at the camera.",
"model": "Qwen/Qwen2.5-VL-7B-Instruct"
}
```

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("undefined443/JourneyDB-recaption")
```

Access the data:

```python
for sample in dataset["train"]:
img_path = sample["img_path"]
caption = sample["caption"]
width, height = sample["width"], sample["height"]
aesthetic_score = sample["aesthetic_score"]
# Use with JourneyDB images
```

## License

This dataset inherits the license from JourneyDB (CC-BY-NC-4.0).

## Related

- [JourneyDB](https://huggingface.co/datasets/JourneyDB/JourneyDB) - Original dataset
- [Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) - Vision-language model used for recaptioning
- [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) - Vision-language model used for recaptioning