Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label cs701-w10-lora-data@808c3fcb1d51caf20c5c82fd706c2f13f25a98ac
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2474, in __iter__
example = _apply_feature_types_on_example(
example, self.features, token_per_repo_id=self.token_per_repo_id
)
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2391, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2192, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1472, 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 1495, 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 1168, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1105, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1126, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label cs701-w10-lora-data@808c3fcb1d51caf20c5c82fd706c2f13f25a98acNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
CS701 W10 tutorial data: a small EuroSAT subset
This is the data for the CS701 tutorial "LoRA for a Pretrained ViT".
The tutorial notebook downloads w10_data.zip.
Contents
- 10 classes of EuroSAT RGB (Sentinel-2 land-use images, 64 × 64 px).
train/<class>/*.jpg: 20 images per class (200 in total).test/<class>/*.jpg: 100 images per class (1,000 in total). No image is in both splits.classes.txt: the class names, one per line. The line number is the class index.- The images are the original EuroSAT files. Selection: per class, sorted file names, shuffled with seed 42.
sha256 of w10_data.zip: d7d03d58b681e7000ed01c7efd083a2986cea0a09ee4ba340d8679a694cf5b55
Licence
The images come from EuroSAT (https://github.com/phelber/EuroSAT), released under the MIT licence
(Copyright (c) 2023 Patrick Helber). The full licence text is in LICENSE.
From the EuroSAT README: "In general, Sentinel data is free and open to the public under EU law. Please consider the
Copernicus Sentinel Data Terms and Conditions when using Copernicus Sentinel data."
Citation
@article{helber2019eurosat,
title={EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification},
author={Helber, Patrick and Bischke, Benjamin and Dengel, Andreas and Borth, Damian},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
year={2019}
}
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