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CoCoaSpec

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Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xac in position 7403526: invalid start byte
Traceback:    Traceback (most recent call last):
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                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables
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              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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text string
---
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
└── data.rar # Full dataset as a single archive
```

## 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.

## Citation
If you use this dataset, please cite:

```bibtex
@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}
}
```

## 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]](mailto:[email protected]?subject=CoCoaSpec%20dataset)

- Mohamad Jouni — Université Grenoble Alpes (UGA), GIPSA-Lab
Email: [[email protected]](mailto:[email protected]?subject=CoCoaSpec%20dataset)

- Mauro Dalla Mura — Grenoble INP–UGA, GIPSA-Lab
Email: [[email protected]](mailto:[email protected]?subject=CoCoaSpec%20dataset)

- Jorge Bacca — Universidad Industrial de Santander (UIS)
Email: [[email protected]](mailto:[email protected]?subject=CoCoaSpec%20dataset)

Please mention “CoCoaSpec dataset” in the subject line when reaching out.
scenes,moisture,cadmium,polyphenols,fermentation
1,4.74,2.57,32.85,73
2,4.74,2.57,32.85,73
3,4.74,2.57,32.85,73
4,4.56,2.19,28.78,94
5,4.56,2.19,28.78,94
6,4.94,1.69,39.75,85
7,4.94,1.69,39.75,85
8,4.56,2.19,28.78,94
9,4.56,2.19,28.78,94
10,5.09,1.73,23.74,92
11,5.12,2.14,41.3,60
12,4.93,1.29,34.24,66
13,4.8,1.25,40.38,84
14,4.75,1.23,39.81,92

End of preview.

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.

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
└── data.rar                # 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.

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