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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 7 new columns ({'size_kib', 'lat_med_ms', 'note', 'arch', 'variant', 'agree', 'acc'}) and 6 missing columns ({'claim', 'measured', 'delta', 'paper', 'tol', 'status'}).
This happened while the csv dataset builder was generating data using
zip://quantization_diagnostic.csv::hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/part2_for_figures.zip, ['hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/paper_claim_check.csv', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/part2_for_figures.zip', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/quantization_diagnostic.csv', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/summary_by_arch_format.csv', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/verification_bundle.zip', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/verification_results_v2.csv']
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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
arch: string
variant: string
acc: double
agree: double
size_kib: double
lat_med_ms: double
note: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1064
to
{'claim': Value('string'), 'paper': Value('float64'), 'measured': Value('float64'), 'delta': Value('float64'), 'tol': Value('float64'), 'status': Value('string')}
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 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 1694, 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 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
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 7 new columns ({'size_kib', 'lat_med_ms', 'note', 'arch', 'variant', 'agree', 'acc'}) and 6 missing columns ({'claim', 'measured', 'delta', 'paper', 'tol', 'status'}).
This happened while the csv dataset builder was generating data using
zip://quantization_diagnostic.csv::hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/part2_for_figures.zip, ['hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/paper_claim_check.csv', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/part2_for_figures.zip', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/quantization_diagnostic.csv', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/summary_by_arch_format.csv', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/verification_bundle.zip', 'hf://datasets/Datadragon110/freshwater-quantization-output@4bcc6b355c3e8efe77d2f6c66018fec4b559de9e/verification_results_v2.csv']
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.
claim string | paper float64 | measured float64 | delta float64 | tol float64 | status string |
|---|---|---|---|---|---|
Train-folder images (paper: 1485 + 262) | 1,747 | 1,750 | 3 | 0 | MISMATCH |
Test-folder images | 697 | 700 | 3 | 0 | MISMATCH |
Test files that also exist in Train (should be 0) | 0 | 700 | 700 | 0 | MISMATCH |
Test images with a near-duplicate in Train, % (should be ~0) | 0 | 100 | 100 | 1 | MISMATCH |
classes | 7 | 7 | 0 | 0 | MATCH |
EfficientNetB0 total params | 4,058,538 | 4,058,538 | 0 | 0 | MATCH |
EfficientNetB0 frozen params | 4,049,571 | 4,049,571 | 0 | 0 | MATCH |
MobileNetV3Small total params | 445,039 | 445,039 | 0 | 0 | MATCH |
MobileNetV3Small frozen params | 441,000 | 441,000 | 0 | 0 | MATCH |
EfficientNetB0 fp32 acc, PAPER protocol (leaky Test/) | 90.24 | 93.286 | 3.046 | 3 | MISMATCH |
EfficientNetB0 INT8 acc, PAPER protocol (leaky Test/) | 69.44 | 79.143 | 9.703 | 3 | MISMATCH |
EfficientNetB0 fp32 acc, LEAKAGE-FREE grouped CV | 90.24 | 88.004 | -2.236 | 1.993 | MISMATCH |
EfficientNetB0 INT8 acc, LEAKAGE-FREE grouped CV | 69.44 | 74.176 | 4.736 | 6.209 | MATCH |
MobileNetV3Small fp32 acc, PAPER protocol (leaky Test/) | 81.78 | 83.714 | 1.934 | 3 | MATCH |
MobileNetV3Small INT8 acc, PAPER protocol (leaky Test/) | 59.08 | 65.714 | 6.634 | 3 | MISMATCH |
MobileNetV3Small fp32 acc, LEAKAGE-FREE grouped CV | 81.78 | 79.287 | -2.493 | 4.511 | MATCH |
MobileNetV3Small INT8 acc, LEAKAGE-FREE grouped CV | 59.08 | 60.007 | 0.927 | 10.445 | MATCH |
EfficientNetB0 fp32 size (KiB) | 15,700.1 | 15,700.116 | 0.016 | 157.001 | MATCH |
EfficientNetB0 INT8 size (KiB) | 4,808.1 | 4,808.125 | 0.025 | 48.081 | MATCH |
MobileNetV3Small fp32 size (KiB) | 1,690.8 | 1,690.846 | 0.046 | 16.908 | MATCH |
MobileNetV3Small INT8 size (KiB) | 603.7 | 603.717 | 0.017 | 6.037 | MATCH |
size reduction EffNet fp32 -> INT8 (x) | 3.3 | 3.265 | -0.035 | 0.1 | MATCH |
size reduction MNv3 fp32 -> INT8 (x) | 2.8 | 2.801 | 0.001 | 0.1 | MATCH |
size reduction EffNet fp32 -> MNv3 INT8 (x) | 26 | 26.006 | 0.006 | 0.5 | MATCH |
param ratio EffNet / MNv3 (x) | 9.1 | 9.12 | 0.02 | 0.1 | MATCH |
Train-folder images (paper: 1485 + 262) | 1,747 | 1,750 | 3 | 0 | MISMATCH |
Test-folder images | 697 | 700 | 3 | 0 | MISMATCH |
Test files that also exist in Train (should be 0) | 0 | 700 | 700 | 0 | MISMATCH |
Test images with a near-duplicate in Train, % (should be ~0) | 0 | 100 | 100 | 1 | MISMATCH |
classes | 7 | 7 | 0 | 0 | MATCH |
EfficientNetB0 total params | 4,058,538 | 4,058,538 | 0 | 0 | MATCH |
EfficientNetB0 frozen params | 4,049,571 | 4,049,571 | 0 | 0 | MATCH |
MobileNetV3Small total params | 445,039 | 445,039 | 0 | 0 | MATCH |
MobileNetV3Small frozen params | 441,000 | 441,000 | 0 | 0 | MATCH |
EfficientNetB0 fp32 acc, PAPER protocol (leaky Test/) | 90.24 | 93.286 | 3.046 | 3 | MISMATCH |
EfficientNetB0 INT8 acc, PAPER protocol (leaky Test/) | 69.44 | 79.143 | 9.703 | 3 | MISMATCH |
EfficientNetB0 fp32 acc, LEAKAGE-FREE grouped CV | 90.24 | 88.004 | -2.236 | 1.993 | MISMATCH |
EfficientNetB0 INT8 acc, LEAKAGE-FREE grouped CV | 69.44 | 74.176 | 4.736 | 6.209 | MATCH |
MobileNetV3Small fp32 acc, PAPER protocol (leaky Test/) | 81.78 | 83.714 | 1.934 | 3 | MATCH |
MobileNetV3Small INT8 acc, PAPER protocol (leaky Test/) | 59.08 | 65.714 | 6.634 | 3 | MISMATCH |
MobileNetV3Small fp32 acc, LEAKAGE-FREE grouped CV | 81.78 | 79.287 | -2.493 | 4.511 | MATCH |
MobileNetV3Small INT8 acc, LEAKAGE-FREE grouped CV | 59.08 | 60.007 | 0.927 | 10.445 | MATCH |
EfficientNetB0 fp32 size (KiB) | 15,700.1 | 15,700.116 | 0.016 | 157.001 | MATCH |
EfficientNetB0 INT8 size (KiB) | 4,808.1 | 4,808.125 | 0.025 | 48.081 | MATCH |
MobileNetV3Small fp32 size (KiB) | 1,690.8 | 1,690.846 | 0.046 | 16.908 | MATCH |
MobileNetV3Small INT8 size (KiB) | 603.7 | 603.717 | 0.017 | 6.037 | MATCH |
size reduction EffNet fp32 -> INT8 (x) | 3.3 | 3.265 | -0.035 | 0.1 | MATCH |
size reduction MNv3 fp32 -> INT8 (x) | 2.8 | 2.801 | 0.001 | 0.1 | MATCH |
size reduction EffNet fp32 -> MNv3 INT8 (x) | 26 | 26.006 | 0.006 | 0.5 | MATCH |
param ratio EffNet / MNv3 (x) | 9.1 | 9.12 | 0.02 | 0.1 | MATCH |
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