From bc9aa24a2b6c5262f7aac5521cad86f4484fdbf8 Mon Sep 17 00:00:00 2001
From: r83575 <r0583283575@gmail.com>
Date: Mon, 10 Nov 2025 18:02:25 +0200
Subject: [PATCH] reorganize and update dataset-related docs under docs/dataset

---
 .gitignore                                  | 1 +
 docs/{dataset.md => dataset/CropAndWeed.md} | 2 +-
 docs/{ => dataset}/dataset_preparation.md   | 7 +++++--
 3 files changed, 7 insertions(+), 3 deletions(-)
 rename docs/{dataset.md => dataset/CropAndWeed.md} (97%)
 rename docs/{ => dataset}/dataset_preparation.md (99%)

diff --git a/.gitignore b/.gitignore
index 31387fa3..0a015333 100644
--- a/.gitignore
+++ b/.gitignore
@@ -9,6 +9,7 @@ __pycache__/
 output/
 outputs/
 dataset/
+!docs/dataset/
 assets/classification_dataset
 assets/output_images/
 database/data/
diff --git a/docs/dataset.md b/docs/dataset/CropAndWeed.md
similarity index 97%
rename from docs/dataset.md
rename to docs/dataset/CropAndWeed.md
index 61cd1061..293774f3 100644
--- a/docs/dataset.md
+++ b/docs/dataset/CropAndWeed.md
@@ -1,5 +1,5 @@
+# CropAndWeed Dataset
 
-# CropAndWeed Dataset Documentation
 ## Dataset Overview
 - **Source Link**: [https://github.com/cropandweed/cropandweed-dataset](https://github.com/cropandweed/cropandweed-dataset)
 - **Paper**: [The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation](https://openaccess.thecvf.com/content/WACV2023/papers/Steininger_The_CropAndWeed_Dataset_A_Multi-Modal_Learning_Approach_for_Efficient_Crop_WACV_2023_paper.pdf) (WACV 2023)
diff --git a/docs/dataset_preparation.md b/docs/dataset/dataset_preparation.md
similarity index 99%
rename from docs/dataset_preparation.md
rename to docs/dataset/dataset_preparation.md
index 2b247ed4..f5947216 100644
--- a/docs/dataset_preparation.md
+++ b/docs/dataset/dataset_preparation.md
@@ -1,4 +1,7 @@
-# Dataset Preparation
+# CropAndWeed Dataset Preparation
+
+## Overview
+...
 
 > **Note:** Make sure to install and enable [Git LFS](https://git-lfs.com/) before extracting the dataset.
 > Run:
@@ -65,7 +68,7 @@ python dataset_preparation/decompress_dataset.py
 
 ---
 
-## Overview
+## Dataset Description
 
 The **CropAndWeed** dataset contains agricultural images with multi-level annotations for **crop and weed classification**.