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 MMCBNU_6000@f7705d9a0c96c461ebd68f6493dfbdd26d8bf35e
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 MMCBNU_6000@f7705d9a0c96c461ebd68f6493dfbdd26d8bf35eNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Introduction
MMCBNU_6000 consists of finger vein images from 100 volunteers. Each subject was asked to provide images of his or her index finger, middle finger, and ring finger of both hands in a conventional office environment (rather than a darkroom). The collection for each of the 6 fingers is repeated 10 times to obtain 60 finger vein images for each volunteer. Hence, MMCBNU_6000 is composed of 6,000 images. Each image is stored in “bmp” format with a resolution of 480×640.
- The age of volunteers in MMCBNU_6000 varies from 16 to 72 years old.
- The numbers of persons with blood types A, B, AB, and O are 32, 19, 11, and 28, respectively, while 10 volunteers did not know their blood types.
- There are 83 males and 17 females in the 100 volunteers.
- The volunteers participated in MMCBNU_6000 are from 20 countries. These countries cover Asian, Europe, Africa, and America.
Citation
If you apply this dataset to any project and research, please cite our papers:
@article{MMCBNU_6000,
title = {An Available Database for the Research of Finger Vein Recognition},
author = {Yu Lu, Shanjuan Xie, Sook Yoon, Zhihui Wang, Dong Sun Park},
booktitle = {2013 6th International Congress on Image and Signal Processing (CISP)},
doi = {10.1109/CISP.2013.6744030}}
year = {2014},
}
@article{Lu2013RobustFV,
title={Robust Finger Vein ROI Localization Based on Flexible Segmentation},
author={Yu Lu and Shan Juan Xie and Sook Yoon and Ju Cheng Yang and Dong Sun Park},
journal={Sensors (Basel, Switzerland)},
year={2013},
volume={13},
pages={14339 - 14366}
}
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