license: cc-by-4.0
CoCoaSpec Dataset: A Multimodal Hyperspectral Cocoa Beans with Physicochemical Annotations
Overview
The CoCoaSpec dataset is a multimodal hyperspectral imaging dataset of Colombian cocoa beans with detailed physicochemical annotations.
It was created to support research on non-destructive cocoa quality assessment, spectral data analysis, and multimodal data fusion.
The dataset includes hyperspectral images acquired with four different devices, along with reference physicochemical measurements and metadata.
Contents
- Hyperspectral cubes (raw and preprocessed)
- RGB images (EOS M50 camera)
- Physicochemical annotations (fermentation degree, moisture content, etc.)
- 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
└── dataset.zip # Full dataset as a single archive
How to Use
You can load the dataset with the Hugging Face datasets library:
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) license.
Citation
If you use this dataset, please cite:
Latest (no DOI, stable across updates):
@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},
url = {https://huggingface.co/datasets/ecos-nord-ginp-uis/CoCoaSpec}
note = {Please cite a versioned DOI when available; see the dataset page for the latest DOI.}
}
Versioned (preferred for reproducibility):
- Open the dataset page and check the latest DOI.
- Copy the DOI into this template:
@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 = {<paste-versioned-DOI-here>},
url = {https://doi.org/<paste-versioned-DOI-here>},
note = {Version: <vX or date>}
}
➡️ Get the latest DOI: see the “Cite this dataset” badge on the dataset page.
Acknowledgements
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
For questions, suggestions, or issues regarding this dataset, please contact (primary first):
Kebin Contreras — Universidad Industrial de Santander (UIS)
Email: [email protected]Mohamad Jouni — Université Grenoble Alpes (UGA), GIPSA-Lab
Email: [email protected]Mauro Dalla Mura — Grenoble INP–UGA, GIPSA-Lab
Email: [email protected]Jorge Bacca — Universidad Industrial de Santander (UIS)
Email: [email protected]
Please mention “CoCoaSpec dataset” in the subject line when reaching out.