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Error code: DatasetGenerationError
Exception: ValueError
Message: Invalid string class label dona_24@dd30d331f89d81c107d859a00e512ad99942f2cf
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1548, in _prepare_split_single
example = self.info.features.encode_example(record) if self.info.features is not None else record
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2178, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1483, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1158, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1095, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1116, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label dona_24@dd30d331f89d81c107d859a00e512ad99942f2cf
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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DONA_24
Version: 1.0
Camtrap DP camera-trap dataset, published via the WildINTEL project. https://wildintel.eu/
Dataset format
This dataset is distributed as a Camtrap DP data package — the community standard for structuring and sharing camera-trap data.
.
├── datapackage.json ← Camtrap DP metadata descriptor
├── deployments.csv ← camera deployment records
├── media.csv ← media (image) records — public media only, filePath is remote
├── observations.csv ← classification/observation records
├── images/ ← the public image files referenced in media.csv
├── camtrapdp-local.zip ← same package, but media.csv's filePath is relative to images/
├── checksums-sha256.txt
├── CITATION.cff
└── LICENSE
camtrapdp-local.zip is meant for local use: extract it next to the images/ folder and
media.csv's filePath will already point to images/<file> instead of a remote URL — no
network access needed to resolve media files.
Privacy
Only media marked as public (filePublic=true in media.csv) is included in this
export. Observations tied exclusively to non-public media have been removed.
Integrity verification
checksums-sha256.txt lists the SHA-256 hash of every file in this export, to verify
nothing was corrupted or truncated after downloading.
Source
Generated from Trapper via wildintel-publisher.
Hugging Face repository
wildintelproject/dona_24
Contributing
Issues and pull requests are welcome in the source code repository: https://github.com/wildintelproject/wildintel-publisher
Funding
This work is part of the WildINTEL project, funded by the Biodiversa+ Joint Research Call 2022-2023 "Improved transnational monitoring of biodiversity and ecosystem change for science and society (BiodivMon)".
License
This dataset is released under: CC-BY-4.0. See the LICENSE file for the full text.
Citation
To cite this dataset:
Manuel Emilio Gegundez Arias, Javier Calzada Samperio, Simone Santoro, Santiago Gutiérrez Zapata, Lenka Strakova, & Iñaki Fernández de Viana y González (2026). DONA_24 (Version 1.0) [Data set]. Institute of Nature Conservation PAS. https://huggingface.co/datasets/wildintelproject/dona_24 © 2026 Institute of Nature Conservation PAS
This citation was generated from the CITATION.cff file. See
About CITATION files
for more info.
Limitations and ethical considerations
Before using this dataset, users should review possible limitations related to camera-trap data, class imbalance, annotation quality, environmental bias, privacy, and sensitive ecological information.
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