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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)

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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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