Datasets:

ecos-nord-ginp-uis
/

CoCoaSpec

Modalities:

Text

DOI:

License:

Dataset card Data Studio Files Files and versions

xet

Community

Dataset Preview

Split (1)

train

The full dataset viewer is not available (click to read why). Only showing a preview of the rows.

The dataset generation failed

Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xac in position 7403526: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 692, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/text/text.py", line 73, in _generate_tables
                  batch = f.read(self.config.chunksize)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 813, in read_with_retries
                  out = read(*args, **kwargs)
                File "/usr/local/lib/python3.9/codecs.py", line 322, in decode
                  (result, consumed) = self._buffer_decode(data, self.errors, final)
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xac in position 7403526: invalid start byte
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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.

Downloads last month: 36