---
dataset_info:
  features:
  - name: prompt
    dtype: string
  - name: panorama
    dtype: image
  - name: front_view
    dtype: image
  splits:
  - name: view
    num_bytes: 39559466
    num_examples: 10
  - name: train
    num_bytes: 384144677331
    num_examples: 100000
  - name: validation
    num_bytes: 38102489269
    num_examples: 10000
  - name: test
    num_bytes: 37980557545
    num_examples: 10000
  download_size: 454638795228
  dataset_size: 460267283611
configs:
- config_name: default
  data_files:
  - split: view
    path: data/view-*
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: cc-by-4.0
language:
- en
size_categories:
- 100K<n<1M
---

# GenEx-DB-Panorama-World 🎞️🌍

This is the GenEx-DB panorama dataset for world initialization. 

The dataset contains 120,000 panorama images generated by [Flux-Dev-Panorama-LoRA-2](https://huggingface.co/jbilcke-hf/flux-dev-panorama-lora-2), the prompts are from ``.

Each row is pairs with its generation prompt and extracted front view image from the panorama.

The dataset has been split into train, validation, test at 100,000, 10,000, 10,000.

## 🚀 Usage

```python
from datasets import load_dataset

# Login using e.g. `huggingface-cli login` to access this dataset
ds = load_dataset("genex-world/GenEx-DB-Panorama-World", streaming=True)

# Inspect one example
for row in ds:
    print(row['prompt'])
    print(row['panorama'])
    print(row['front_view'])
    break
```


## ✨ BibTex

```
@misc{lu2025genexgeneratingexplorableworld,
      title={GenEx: Generating an Explorable World}, 
      author={Taiming Lu and Tianmin Shu and Junfei Xiao and Luoxin Ye and Jiahao Wang and Cheng Peng and Chen Wei and Daniel Khashabi and Rama Chellappa and Alan Yuille and Jieneng Chen},
      year={2025},
      eprint={2412.09624},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2412.09624}, 
}
```