Fixed README.md

README.md

@@ -12,17 +12,38 @@ The dataset includes hyperspectral images acquired with four different devices,
 
 ## Contents
 - **Hyperspectral cubes** (raw and preprocessed)  
-- **RGB images** (EOS M50 camera)
+- **RGB images** (EOS M50 camera)  
 - **Physicochemical annotations** (fermentation degree, moisture content, etc.)  
-- **Metadata files**: acquisition conditions, calibration details, sample identifiers  
+- **Calibration & metadata** (dark/flat fields, wavelength centers, camera metadata, acquisition conditions, calibration details, sample identifiers)
 
 ## Data Structure
+The dataset is organized as follows:
 ```
+data/
+├── scenes/                 # Scene-level acquisitions across devices
+├── resources/              # Calibration and metadata resources
+│ ├── dark_fields/
+│ ├── flat_fields/
+│ ├── metadata/             # cameras.json, campaign_metadata.json
+│ ├── wavelengths/          # per-device band centers
+│ └── physicochemical.csv   # physicochemical information
+├── README.md
+└── data.rar                # Full dataset as a single archive
 ```
 
-## Access
-The dataset is hosted on [Hugging Face Datasets](https://huggingface.co/datasets/ecos-nord-ginp-uis/CoCoaSpec).  
-Please cite this dataset using the reference in the **Citation** section below.  
+## How to Use
+You can load the dataset with the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+# Login using e.g. `huggingface-cli login` to access this dataset
+ds = load_dataset("ecos-nord-ginp-uis/CoCoaSpec")
+```
+
+## Code (Loading, Preprocessing, Visualization)
+Example Python scripts for loading, visualization, and preprocessing are available in the public GitHub repository:  
+https://github.com/kebincontreras/CoCoaSpec
 
 ## License
 This dataset is released under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license.
@@ -31,28 +52,18 @@ This dataset is released under the [Creative Commons Attribution 4.0 Internation
 If you use this dataset, please cite:  
 
 ```bibtex
-@misc{ecos_nord_grenoble-santander_2025,
-	author       = { Contreras, Kebin and Jouni, Mohamad and Dalla Mura, Mauro and Bacca, Jorge},
-	title        = { CoCoaSpec (Revision 7c05ea0) },
-	year         = 2025,
-	url          = { https://huggingface.co/datasets/ecos-nord-ginp-uis/CoCoaSpec },
-	doi          = { 10.57967/hf/6532 },
-	publisher    = { Hugging Face }
+@dataset{contreras2025cocoaspec,
+  author       = {Contreras, Kebin and Jouni, Mohamad and Dalla Mura, Mauro and Bacca, Jorge},
+  title        = {CoCoaSpec: Multimodal Hyperspectral Cocoa Beans with Physicochemical Annotations},
+  year         = {2025},
+  publisher    = {Hugging Face},
+  doi          = {10.57967/hf/6532},
+  url          = {https://huggingface.co/datasets/ecos-nord-ginp-uis/CoCoaSpec}
 }
 ```
 
-## How to Use
-You can load the dataset with the Hugging Face `datasets` library:
-
-```python
-from datasets import load_dataset
-
-# Login using e.g. `huggingface-cli login` to access this dataset
-ds = load_dataset("ecos-nord-ginp-uis/CoCoaSpec")
-```
-
 ## Acknowledgements
-This dataset was developed at Universidad Industrial de Santander (Colombia) in collaboration with Université Grenoble Alpes – GIPSA-Lab (France).
+This dataset was developed at Universidad Industrial de Santander (Colombia) in collaboration with Université Grenoble Alpes – GIPSA-Lab (France).  
 We thank all contributors for their efforts in acquisition, annotation, and validation.
 
 ## Contact