File size: 2,008 Bytes
9c5c4cc b52e6b9 9c5c4cc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 |
---
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},
}
``` |