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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'foreground_intensity_properties_per_channel', 'median_relative_size_after_cropping', 'shapes_after_crop', 'spacings'}) and 12 missing columns ({'numTraining', 'labels', 'release', 'training', 'name', 'licence', 'channel_names', 'reference', 'numTest', 'file_ending', 'description', 'tensorImageSize'}).
This happened while the json dataset builder was generating data using
hf://datasets/KagglingFace/FYP-KiTS-A-Preprocessed/dataset_fingerprint.json (at revision f91ee51ce513c0051bdc9bbcd7adec46d1099e0f)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
foreground_intensity_properties_per_channel: struct<0: struct<max: double, mean: double, median: double, min: double, percentile_00_5: double, percentile_99_5: double, std: double>>
child 0, 0: struct<max: double, mean: double, median: double, min: double, percentile_00_5: double, percentile_99_5: double, std: double>
child 0, max: double
child 1, mean: double
child 2, median: double
child 3, min: double
child 4, percentile_00_5: double
child 5, percentile_99_5: double
child 6, std: double
median_relative_size_after_cropping: double
shapes_after_crop: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
spacings: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
to
{'channel_names': {'0': Value(dtype='string', id=None)}, 'description': Value(dtype='string', id=None), 'file_ending': Value(dtype='string', id=None), 'labels': {'Cortex': Value(dtype='string', id=None), 'Medulla': Value(dtype='string', id=None), 'Tumor': Value(dtype='string', id=None), 'background': Value(dtype='string', id=None)}, 'licence': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'numTest': Value(dtype='int64', id=None), 'numTraining': Value(dtype='int64', id=None), 'reference': Value(dtype='string', id=None), 'release': Value(dtype='string', id=None), 'tensorImageSize': Value(dtype='string', id=None), 'training': [{'image': Value(dtype='string', id=None), 'label': Value(dtype='string', id=None)}]}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1316, in compute_config_parquet_and_info_response
parquet_operations, partial = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 4 new columns ({'foreground_intensity_properties_per_channel', 'median_relative_size_after_cropping', 'shapes_after_crop', 'spacings'}) and 12 missing columns ({'numTraining', 'labels', 'release', 'training', 'name', 'licence', 'channel_names', 'reference', 'numTest', 'file_ending', 'description', 'tensorImageSize'}).
This happened while the json dataset builder was generating data using
hf://datasets/KagglingFace/FYP-KiTS-A-Preprocessed/dataset_fingerprint.json (at revision f91ee51ce513c0051bdc9bbcd7adec46d1099e0f)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
channel_names dict | description string | file_ending string | labels dict | licence string | name string | numTest int64 | numTraining int64 | reference string | release string | tensorImageSize string | training list | foreground_intensity_properties_per_channel dict | median_relative_size_after_cropping float64 | shapes_after_crop sequence | spacings sequence | dataset_name string | plans_name string | original_median_spacing_after_transp sequence | original_median_shape_after_transp sequence | image_reader_writer string | transpose_forward sequence | transpose_backward sequence | configurations dict | experiment_planner_used string | label_manager string | val sequence | train sequence |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"0": "CT"
} | kidney and kidney tumor segmentation | .nii.gz | {
"Cortex": "3",
"Medulla": "2",
"Tumor": "1",
"background": "0"
} | FYP-KiTS | 0 | 40 | Final year project KiTS data for nnunet v2 | 0.0 | 4D | [
{
"image": "./imagesTr/case_00000.nii.gz",
"label": "./labelsTr/case_00000.nii.gz"
},
{
"image": "./imagesTr/case_00001.nii.gz",
"label": "./labelsTr/case_00001.nii.gz"
},
{
"image": "./imagesTr/case_00002.nii.gz",
"label": "./labelsTr/case_00002.nii.gz"
},
{
"image": "./imag... | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | |
null | null | null | null | null | null | null | null | null | null | null | null | {
"0": {
"max": 669,
"mean": 122.23634338378906,
"median": 126,
"min": -161,
"percentile_00_5": -118,
"percentile_99_5": 302,
"std": 73.87754821777344
}
} | 1 | [
[
122,
512,
512
],
[
97,
512,
512
],
[
80,
512,
512
],
[
106,
512,
512
],
[
34,
512,
512
],
[
151,
512,
512
],
[
87,
512,
512
],
[
31,
512,
512
],
[
100,
512,
512
],
[
... | [
[
1,
0.748046875,
0.748046875
],
[
1,
0.626953125,
0.626953125
],
[
1.25,
0.7402340173721313,
0.7402340173721313
],
[
1.25,
0.7402340173721313,
0.7402340173721313
],
[
1.25,
0.7402340173721313,
0.7402340173721313
],
[
0.625,
0.8... | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | {
"0": {
"max": 669,
"mean": 122.23634338378906,
"median": 126,
"min": -161,
"percentile_00_5": -118,
"percentile_99_5": 302,
"std": 73.87754821777344
}
} | null | null | null | Dataset996_KiTS | nnUNetPlans | [
1.25,
0.7402340173721313,
0.7402340173721313
] | [
98,
512,
512
] | SimpleITKIO | [
0,
1,
2
] | [
0,
1,
2
] | {
"2d": {
"data_identifier": "nnUNetPlans_2d",
"preprocessor_name": "DefaultPreprocessor",
"batch_size": 12,
"patch_size": [
512,
512
],
"median_image_size_in_voxels": [
512,
512
],
"spacing": [
0.7402340173721313,
0.7402340173721313
],
"norm... | ExperimentPlanner | LabelManager | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
"case_00002",
"case_00003",
"case_00005",
"case_00019",
"case_00021",
"case_00025",
"case_00028",
"case_00032"
] | [
"case_00000",
"case_00001",
"case_00004",
"case_00006",
"case_00007",
"case_00008",
"case_00009",
"case_00010",
"case_00011",
"case_00012",
"case_00013",
"case_00014",
"case_00015",
"case_00016",
"case_00017",
"case_00018",
"case_00020",
"case_00022",
"case_00023",
"case_00024"... |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
"case_00000",
"case_00004",
"case_00008",
"case_00012",
"case_00015",
"case_00030",
"case_00033",
"case_00035"
] | [
"case_00001",
"case_00002",
"case_00003",
"case_00005",
"case_00006",
"case_00007",
"case_00009",
"case_00010",
"case_00011",
"case_00013",
"case_00014",
"case_00016",
"case_00017",
"case_00018",
"case_00019",
"case_00020",
"case_00021",
"case_00022",
"case_00023",
"case_00024"... |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
"case_00006",
"case_00007",
"case_00010",
"case_00013",
"case_00017",
"case_00020",
"case_00024",
"case_00026"
] | [
"case_00000",
"case_00001",
"case_00002",
"case_00003",
"case_00004",
"case_00005",
"case_00008",
"case_00009",
"case_00011",
"case_00012",
"case_00014",
"case_00015",
"case_00016",
"case_00018",
"case_00019",
"case_00021",
"case_00022",
"case_00023",
"case_00025",
"case_00027"... |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
"case_00009",
"case_00011",
"case_00016",
"case_00018",
"case_00022",
"case_00023",
"case_00027",
"case_00031"
] | [
"case_00000",
"case_00001",
"case_00002",
"case_00003",
"case_00004",
"case_00005",
"case_00006",
"case_00007",
"case_00008",
"case_00010",
"case_00012",
"case_00013",
"case_00014",
"case_00015",
"case_00017",
"case_00019",
"case_00020",
"case_00021",
"case_00024",
"case_00025"... |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | [
"case_00001",
"case_00014",
"case_00029",
"case_00034",
"case_00036",
"case_00037",
"case_00038",
"case_00039"
] | [
"case_00000",
"case_00002",
"case_00003",
"case_00004",
"case_00005",
"case_00006",
"case_00007",
"case_00008",
"case_00009",
"case_00010",
"case_00011",
"case_00012",
"case_00013",
"case_00015",
"case_00016",
"case_00017",
"case_00018",
"case_00019",
"case_00020",
"case_00021"... |
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