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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 5 new columns ({'p_solver_max_iter', 'p_dataset_factor', 'p_solver_denoiser', 'p_solver_sigma', 'p_dataset_filter'}) and 3 missing columns ({'p_dataset_sigma', 'objective_NIQE_std', 'objective_NIQE'}).

This happened while the csv dataset builder was generating data using

hf://datasets/deepinv/benchmarks/div2k_super_resolution_2x.csv (at revision 5b26e104bcced5fc8f8ae20a8868e7e3ec629daf), [/tmp/hf-datasets-cache/medium/datasets/86108548697224-config-parquet-and-info-deepinv-benchmarks-61f007fe/hub/datasets--deepinv--benchmarks/snapshots/5b26e104bcced5fc8f8ae20a8868e7e3ec629daf/cbsd500_gaussian_denoising.csv (origin=hf://datasets/deepinv/benchmarks@5b26e104bcced5fc8f8ae20a8868e7e3ec629daf/cbsd500_gaussian_denoising.csv), /tmp/hf-datasets-cache/medium/datasets/86108548697224-config-parquet-and-info-deepinv-benchmarks-61f007fe/hub/datasets--deepinv--benchmarks/snapshots/5b26e104bcced5fc8f8ae20a8868e7e3ec629daf/div2k_super_resolution_2x.csv (origin=hf://datasets/deepinv/benchmarks@5b26e104bcced5fc8f8ae20a8868e7e3ec629daf/div2k_super_resolution_2x.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/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              base_seed: int64
              objective_name: string
              obj_description: double
              solver_name: string
              solver_description: double
              dataset_name: string
              idx_rep: int64
              sampling_strategy: string
              file_objective: string
              file_solver: string
              p_solver_sigma: double
              file_dataset: string
              p_dataset_physics: string
              p_dataset_noise: string
              p_dataset_factor: int64
              p_dataset_filter: string
              p_dataset_img_size: int64
              p_dataset_debug: bool
              stop_val: int64
              time: double
              objective_PSNR: double
              objective_PSNR_std: double
              objective_LPIPS: double
              objective_LPIPS_std: double
              env-OMP_NUM_THREADS: double
              platform: string
              platform-architecture: string
              platform-release: string
              platform-version: string
              system-cpus: int64
              system-processor: string
              system-ram (GB): int64
              version-cuda: string
              version-numpy: string
              version-numpy-libs: double
              version-scipy: string
              benchmark-git-tag: double
              p_solver_denoiser: string
              p_solver_max_iter: double
              run_date: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 5377
              to
              {'base_seed': Value('int64'), 'objective_name': Value('string'), 'obj_description': Value('float64'), 'solver_name': Value('string'), 'solver_description': Value('float64'), 'dataset_name': Value('string'), 'idx_rep': Value('int64'), 'sampling_strategy': Value('string'), 'file_objective': Value('string'), 'file_solver': Value('string'), 'file_dataset': Value('string'), 'p_dataset_physics': Value('string'), 'p_dataset_noise': Value('string'), 'p_dataset_sigma': Value('float64'), 'p_dataset_img_size': Value('int64'), 'p_dataset_debug': Value('bool'), 'stop_val': Value('int64'), 'time': Value('float64'), 'objective_PSNR': Value('float64'), 'objective_PSNR_std': Value('float64'), 'objective_NIQE': Value('float64'), 'objective_NIQE_std': Value('float64'), 'env-OMP_NUM_THREADS': Value('float64'), 'platform': Value('string'), 'platform-architecture': Value('string'), 'platform-release': Value('string'), 'platform-version': Value('string'), 'system-cpus': Value('int64'), 'system-processor': Value('string'), 'system-ram (GB)': Value('int64'), 'version-cuda': Value('string'), 'version-numpy': Value('string'), 'version-numpy-libs': Value('float64'), 'version-scipy': Value('string'), 'benchmark-git-tag': Value('float64'), 'run_date': Value('string'), 'objective_LPIPS': Value('float64'), 'objective_LPIPS_std': Value('float64')}
              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 1348, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, 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 5 new columns ({'p_solver_max_iter', 'p_dataset_factor', 'p_solver_denoiser', 'p_solver_sigma', 'p_dataset_filter'}) and 3 missing columns ({'p_dataset_sigma', 'objective_NIQE_std', 'objective_NIQE'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/deepinv/benchmarks/div2k_super_resolution_2x.csv (at revision 5b26e104bcced5fc8f8ae20a8868e7e3ec629daf), [/tmp/hf-datasets-cache/medium/datasets/86108548697224-config-parquet-and-info-deepinv-benchmarks-61f007fe/hub/datasets--deepinv--benchmarks/snapshots/5b26e104bcced5fc8f8ae20a8868e7e3ec629daf/cbsd500_gaussian_denoising.csv (origin=hf://datasets/deepinv/benchmarks@5b26e104bcced5fc8f8ae20a8868e7e3ec629daf/cbsd500_gaussian_denoising.csv), /tmp/hf-datasets-cache/medium/datasets/86108548697224-config-parquet-and-info-deepinv-benchmarks-61f007fe/hub/datasets--deepinv--benchmarks/snapshots/5b26e104bcced5fc8f8ae20a8868e7e3ec629daf/div2k_super_resolution_2x.csv (origin=hf://datasets/deepinv/benchmarks@5b26e104bcced5fc8f8ae20a8868e7e3ec629daf/div2k_super_resolution_2x.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.

base_seed
int64
objective_name
string
obj_description
null
solver_name
string
solver_description
null
dataset_name
string
idx_rep
int64
sampling_strategy
string
file_objective
string
file_solver
string
file_dataset
string
p_dataset_physics
string
p_dataset_noise
string
p_dataset_sigma
float64
p_dataset_img_size
int64
p_dataset_debug
bool
stop_val
int64
time
float64
objective_PSNR
float64
objective_PSNR_std
float64
objective_NIQE
float64
objective_NIQE_std
float64
env-OMP_NUM_THREADS
null
platform
string
platform-architecture
string
platform-release
string
platform-version
string
system-cpus
int64
system-processor
string
system-ram (GB)
int64
version-cuda
string
version-numpy
string
version-numpy-libs
null
version-scipy
string
benchmark-git-tag
null
run_date
string
objective_LPIPS
float64
objective_LPIPS_std
float64
0
CBSD68 denoising
null
DRUNet
null
CBSD68[debug=True,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/drunet.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
true
1
0.000001
32.103269
0.239604
4.871617
0.582643
null
Linux
x86_64
6.14.0-1017-azure
#17~24.04.1-Ubuntu SMP Mon Dec 1 20:10:50 UTC 2025
4
AMD EPYC 7763 64-Core Processor
16
null
2.4.2
null
1.17.1
null
2026-03-06T00:27:23.563943
null
null
0
CBSD68 denoising
null
Restormer
null
CBSD68[debug=True,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/restformer.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
true
1
0.000001
32.115033
0.208101
5.256838
0.594838
null
Linux
x86_64
6.14.0-1017-azure
#17~24.04.1-Ubuntu SMP Mon Dec 1 20:10:50 UTC 2025
4
AMD EPYC 7763 64-Core Processor
16
null
2.4.2
null
1.17.1
null
2026-03-06T00:27:23.563943
null
null
0
CBSD68 denoising
null
BilateralFilter
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/bilateral_filter.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000001
26.68392
1.472032
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.438039
0.080897
0
CBSD68 denoising
null
DiffUNet
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/diffunet.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000002
32.018257
2.264604
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.103071
0.046025
0
CBSD68 denoising
null
DnCNN
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/dncnn.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000001
30.394657
1.620461
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.14024
0.05317
0
CBSD68 denoising
null
DRUNet
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/drunet.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000002
32.172223
2.290309
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.09461
0.037698
0
CBSD68 denoising
null
DScCP
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/dsccp.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000001
30.928551
1.965251
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.124762
0.052911
0
CBSD68 denoising
null
GSDRUNet
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/gsdrunet.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000002
32.05122
2.253581
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.088257
0.034912
0
CBSD68 denoising
null
NCSNpp
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/ncsnpp.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000002
31.911443
2.204152
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.110421
0.051029
0
CBSD68 denoising
null
RAM
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/ram.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000002
31.957988
2.242882
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.100001
0.038607
0
CBSD68 denoising
null
Restormer
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/restormer.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000002
32.261198
2.305191
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.090531
0.039133
0
CBSD68 denoising
null
SCUNet
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/scunet.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000001
30.864679
2.19083
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.143613
0.070409
0
CBSD68 denoising
null
SwinIR
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/swinir.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000002
32.217226
2.295018
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.093023
0.041615
0
CBSD68 denoising
null
TGVDenoiser
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/tgv_denoiser.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000001
28.06011
2.057204
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.241871
0.062489
0
CBSD68 denoising
null
TVDenoiser
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/tv_denoiser.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000002
27.633805
2.527148
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.256276
0.080787
0
CBSD68 denoising
null
WaveletDenoiser
null
CBSD68[debug=False,img_size=256,noise=GaussianNoise,physics=Denoising,sigma=0.1]
0
Iteration
objective.py
solvers/wavelet_denoiser.py
datasets/cbsd68.py
Denoising
GaussianNoise
0.1
256
false
1
0.000002
25.189561
0.888381
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-06-01T22:49:52.803081
0.320254
0.097423
0
DIV2K Super Resolution (2x)
null
DPIR[sigma=0.1]
null
DIV2K[debug=False,factor=2,filter=bicubic,img_size=256,noise=ZeroNoise,physics=Downsampling]
0
Iteration
objective.py
solvers/dpir.py
datasets/div2k.py
Downsampling
ZeroNoise
null
256
false
1
0.000002
26.858231
2.284362
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-05-29T17:48:56.395614
0.320023
0.117421
0
DIV2K Super Resolution (2x)
null
DPIR[sigma=0.2]
null
DIV2K[debug=False,factor=2,filter=bicubic,img_size=256,noise=ZeroNoise,physics=Downsampling]
0
Run_once
objective.py
solvers/dpir.py
datasets/div2k.py
Downsampling
ZeroNoise
null
256
false
1
0.000001
24.439561
2.201863
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-05-29T17:48:56.395614
0.427978
0.13452
0
DIV2K Super Resolution (2x)
null
DPS[denoiser=DRUNet,max_iter=1000]
null
DIV2K[debug=False,factor=2,filter=bicubic,img_size=256,noise=ZeroNoise,physics=Downsampling]
0
Iteration
objective.py
solvers/dps.py
datasets/div2k.py
Downsampling
ZeroNoise
null
256
false
1
0.000002
24.264942
3.328841
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-05-29T17:48:56.395614
0.391724
0.13769
0
DIV2K Super Resolution (2x)
null
DPS[denoiser=DiffUNet,max_iter=1000]
null
DIV2K[debug=False,factor=2,filter=bicubic,img_size=256,noise=ZeroNoise,physics=Downsampling]
0
Run_once
objective.py
solvers/dps.py
datasets/div2k.py
Downsampling
ZeroNoise
null
256
false
1
0.000002
24.761082
3.583818
null
null
null
Linux
x86_64
6.12.90+deb13-amd64
#1 SMP PREEMPT_DYNAMIC Debian 6.12.90-1 (2026-05-22)
32
Intel(R) Xeon(R) Gold 6142 CPU @ 2.60GHz
124
NVIDIA GeForce RTX 2080 Ti: cuda_12.4
2.4.6
null
1.17.1
null
2026-05-29T17:48:56.395614
0.344693
0.131969
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