---
license: apache-2.0
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 75626482624
    num_examples: 32000
  - name: test
    num_bytes: 6858464768
    num_examples: 3200
  download_size: 73104160837
  dataset_size: 82484947392
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
<div align="center">

<!-- Logo -->
<img src="YOUR_LOGO_URL_OR_RELATIVE_PATH" alt="MIST" width="180" />

<h1 style="margin-bottom: 6px;">MIST</h1>
<p style="margin-top: 0; color: #666;">
Multi-Domain Synthetic Dataset for Rural Driving
</p>

<!-- Links row -->
<p>
  <a href="https://huggingface.co/datasets/jongwonryu/MIST_dataset">🤗 Hugging Face</a>
  &nbsp;|&nbsp;
  <a href="PAPER_URL">📄 Paper</a>
  &nbsp;|&nbsp;
  <a href="CODE_URL">💻 Code</a>
  &nbsp;|&nbsp;
  <a href="PROJECT_URL">🌐 Project</a>
</p>

<!-- Button-like links -->
<p>
  <a
    href="https://slowroads.io"
    style="display:inline-block;padding:8px 12px;border:1px solid #ddd;border-radius:10px;text-decoration:none;"
  >🛣️ Simulator (slowroads.io)</a>

  &nbsp;

  <a
    href="GITHUB_URL"
    style="display:inline-block;padding:8px 12px;border:1px solid #ddd;border-radius:10px;text-decoration:none;"
  >GitHub</a>
</p>

</div>

<hr/>

## Model / Dataset Introduction

MIST is a large-scale multi-domain synthetic dataset designed for rural driving scenarios.
It provides explicitly structured domain factors—**season**, **time of day**, and **weather**—forming **32 balanced domain configurations**.

### Dataset Generation
MIST was generated using **Slowroads** (https://slowroads.io), a procedural rural road driving simulator.
Images are rendered from a **bumper-view** camera at **1365 × 911** resolution.

## 📌 Dataset Status & Upload Plan

This repository is being **uploaded incrementally**.

**Current upload**
- Image–text pair dataset (**train/test**) for image-to-image (I2I) translation

**In progress**
- Corresponding **segmentation masks** are currently being uploaded

**Upcoming**
- The full dataset (all splits + remaining annotations) will be released in subsequent updates

> Note: The dataset is not yet complete. This README will be updated as additional components become available.