The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label tiatoolbox-kather100k-validation-sample@34083849a71dc6d41311b2394575359dcb02394a
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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2386, 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 2303, 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 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 tiatoolbox-kather100k-validation-sample@34083849a71dc6d41311b2394575359dcb02394aNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
TIAToolbox Kather100k Validation Sample
A small (2,010 tile) sample of the Kather colorectal histology dataset,
re-hosted on the Hugging Face Hub so the TIAToolbox 05-patch-prediction.ipynb
example notebook can download it without depending on the DCS-hosted server
(tiatoolbox.dcs.warwick.ac.uk).
This is the kather100k-train-nonorm-subset-2k variant of the dataset,
covering all 9 tissue classes (ADI, BACK, DEB, LYM, MUC, MUS, NORM, STR, TUM).
Source
Derived from the original NCT-CRC-HE-100K / CRC-VAL-HE-7K dataset:
Kather, Jakob Nikolas; Halama, Niels; Marx, Alexander (2018). 100,000 histological images of human colorectal cancer and healthy tissue. Zenodo. https://doi.org/10.5281/zenodo.1214456
Licensed under CC BY 4.0 — see the Zenodo record above for full terms.
Usage
Used as sample data in the TIAToolbox patch prediction example notebook: https://github.com/TissueImageAnalytics/tiatoolbox
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