Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 2 new columns ({'primary', 'node_id'}) and 2 missing columns ({'scanner', 'sigma'}).

This happened while the csv dataset builder was generating data using

hf://datasets/mdsajjadullah/fl-chex-benchmark/Hosp_A.csv (at revision a81dc136660386d1e4d5554e9f26267caba92047), [/tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Canon_Medical.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Canon_Medical.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/GE_HealthCare.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/GE_HealthCare.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_A.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_A.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_B.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_B.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_C.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_C.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_D.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_D.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_E.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_E.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Mobile_Unit.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Mobile_Unit.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_1_YoungMale_18-35.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_1_YoungMale_18-35.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_2_YoungFemale_18-35.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_2_YoungFemale_18-35.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_3_MiddleAge_36-59.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_3_MiddleAge_36-59.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_4_ElderlyMale_60plus.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_4_ElderlyMale_60plus.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_5_ElderlyFemale_60plus.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_5_ElderlyFemale_60plus.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Philips_Medical.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Philips_Medical.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Siemens_Healthineers.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Siemens_Healthineers.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/sample_submission.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/sample_submission.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/table1_main.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/table1_main.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/table2_fairness.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/table2_fairness.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 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Lung Lesion: int64
              Sex: string
              Enlarged Cardiomediastinum: int64
              Path: string
              No Finding: int64
              Support Devices: int64
              Lung Opacity: int64
              Edema: int64
              Pleural Effusion: int64
              Consolidation: int64
              Atelectasis: int64
              Fracture: int64
              AP/PA: string
              Age: int64
              Pneumothorax: int64
              Pleural Other: int64
              Cardiomegaly: int64
              Frontal/Lateral: string
              Pneumonia: int64
              node_id: string
              primary: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2752
              to
              {'Lung Lesion': Value('int64'), 'Sex': Value('string'), 'Enlarged Cardiomediastinum': Value('int64'), 'Path': Value('string'), 'No Finding': Value('int64'), 'Support Devices': Value('int64'), 'Lung Opacity': Value('int64'), 'Edema': Value('int64'), 'Pleural Effusion': Value('int64'), 'Consolidation': Value('int64'), 'Atelectasis': Value('int64'), 'Fracture': Value('int64'), 'AP/PA': Value('string'), 'Age': Value('int64'), 'Pneumothorax': Value('int64'), 'Pleural Other': Value('int64'), 'Cardiomegaly': Value('int64'), 'Frontal/Lateral': Value('string'), 'Pneumonia': Value('int64'), 'scanner': Value('string'), 'sigma': 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 1347, 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 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1892, 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 2 new columns ({'primary', 'node_id'}) and 2 missing columns ({'scanner', 'sigma'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/mdsajjadullah/fl-chex-benchmark/Hosp_A.csv (at revision a81dc136660386d1e4d5554e9f26267caba92047), [/tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Canon_Medical.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Canon_Medical.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/GE_HealthCare.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/GE_HealthCare.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_A.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_A.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_B.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_B.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_C.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_C.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_D.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_D.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Hosp_E.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Hosp_E.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Mobile_Unit.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Mobile_Unit.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_1_YoungMale_18-35.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_1_YoungMale_18-35.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_2_YoungFemale_18-35.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_2_YoungFemale_18-35.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_3_MiddleAge_36-59.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_3_MiddleAge_36-59.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_4_ElderlyMale_60plus.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_4_ElderlyMale_60plus.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Node_5_ElderlyFemale_60plus.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Node_5_ElderlyFemale_60plus.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Philips_Medical.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Philips_Medical.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/Siemens_Healthineers.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/Siemens_Healthineers.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/sample_submission.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/sample_submission.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/table1_main.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/table1_main.csv), /tmp/hf-datasets-cache/medium/datasets/22646431010150-config-parquet-and-info-mdsajjadullah-fl-chex-ben-a023d3ef/hub/datasets--mdsajjadullah--fl-chex-benchmark/snapshots/a81dc136660386d1e4d5554e9f26267caba92047/table2_fairness.csv (origin=hf://datasets/mdsajjadullah/fl-chex-benchmark@a81dc136660386d1e4d5554e9f26267caba92047/table2_fairness.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.

Lung Lesion
int64
Sex
string
Enlarged Cardiomediastinum
int64
Path
string
No Finding
int64
Support Devices
int64
Lung Opacity
int64
Edema
int64
Pleural Effusion
int64
Consolidation
int64
Atelectasis
int64
Fracture
int64
AP/PA
string
Age
int64
Pneumothorax
int64
Pleural Other
int64
Cardiomegaly
int64
Frontal/Lateral
string
Pneumonia
int64
scanner
string
sigma
float64
0
female
0
CheXpert-v1.0/train/patient55242/study2/view2_lateral.jpg
0
0
0
0
0
0
0
0
null
95
0
0
0
Lateral
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient57633/study2/view1_frontal.jpg
0
0
0
0
0
0
1
0
AP
87
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient18256/study1/view1_frontal.jpg
0
0
0
0
0
0
0
0
PA
65
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient20733/study4/view1_frontal.jpg
0
0
1
0
1
1
1
0
AP
74
1
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient43325/study1/view1_frontal.jpg
1
1
0
0
0
0
0
0
AP
20
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient19343/study14/view1_frontal.jpg
0
1
0
0
0
0
0
0
AP
73
1
0
0
Frontal
0
Canon_Medical
0.2
1
male
0
CheXpert-v1.0/train/patient51617/study1/view1_frontal.jpg
0
0
1
0
0
1
0
1
AP
69
0
1
0
Frontal
1
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient28540/study2/view1_frontal.jpg
0
1
1
0
1
0
0
0
PA
67
0
1
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient44786/study5/view1_frontal.jpg
0
0
1
1
0
0
0
0
AP
47
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient43508/study1/view1_frontal.jpg
0
0
1
1
1
1
1
1
AP
83
0
0
1
Frontal
1
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient44910/study6/view1_frontal.jpg
0
1
1
0
1
0
0
0
AP
68
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient00634/study1/view1_frontal.jpg
0
0
0
0
0
0
0
1
AP
86
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient48620/study3/view1_frontal.jpg
0
0
1
0
1
0
0
0
AP
80
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient49188/study1/view1_frontal.jpg
0
1
0
0
1
1
0
0
AP
61
0
0
0
Frontal
0
Canon_Medical
0.2
1
male
0
CheXpert-v1.0/train/patient18544/study3/view1_frontal.jpg
0
0
0
0
0
0
0
0
AP
55
0
0
0
Frontal
0
Canon_Medical
0.2
1
female
0
CheXpert-v1.0/train/patient24985/study3/view1_frontal.jpg
0
0
1
0
1
1
1
1
AP
65
0
1
0
Frontal
1
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient48944/study1/view1_frontal.jpg
0
0
1
1
0
0
0
0
AP
66
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient02993/study3/view1_frontal.jpg
0
1
0
0
0
0
0
0
AP
30
1
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient04135/study15/view1_frontal.jpg
0
1
0
0
0
0
0
1
AP
43
1
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient12427/study3/view1_frontal.jpg
0
1
1
0
0
0
0
0
AP
58
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient10246/study3/view1_frontal.jpg
0
1
0
0
0
0
1
0
AP
79
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient48380/study1/view1_frontal.jpg
0
0
1
1
0
1
1
0
AP
65
0
0
1
Frontal
0
Canon_Medical
0.2
1
female
1
CheXpert-v1.0/train/patient40063/study6/view1_frontal.jpg
0
0
1
1
1
1
1
1
AP
74
0
1
1
Frontal
1
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient14257/study1/view2_lateral.jpg
0
1
0
0
0
0
0
0
null
77
0
0
1
Lateral
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient21626/study3/view2_lateral.jpg
1
0
0
0
0
0
0
0
null
22
0
0
0
Lateral
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient05189/study29/view1_frontal.jpg
0
0
0
1
1
0
0
0
AP
74
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient44356/study2/view1_frontal.jpg
0
0
0
0
0
0
0
0
AP
77
1
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient04368/study1/view1_frontal.jpg
1
0
0
0
0
0
0
0
PA
45
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient20565/study4/view1_frontal.jpg
0
1
0
0
1
0
0
0
AP
77
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient19206/study6/view2_lateral.jpg
0
1
1
0
1
0
1
0
null
64
0
0
1
Lateral
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient39911/study3/view1_frontal.jpg
0
1
0
0
1
0
0
0
AP
47
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient27520/study10/view1_frontal.jpg
0
1
0
1
1
0
1
0
AP
81
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient03844/study3/view1_frontal.jpg
0
0
1
0
0
0
0
0
AP
63
0
0
0
Frontal
0
Canon_Medical
0.2
1
male
0
CheXpert-v1.0/train/patient04654/study23/view1_frontal.jpg
0
1
0
1
0
0
0
0
AP
59
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient42754/study3/view1_frontal.jpg
0
0
0
0
0
0
0
0
AP
64
1
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient10754/study2/view2_lateral.jpg
0
0
1
0
1
0
0
0
null
54
0
0
0
Lateral
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient61108/study1/view1_frontal.jpg
0
1
1
0
0
0
0
0
AP
23
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient50090/study3/view1_frontal.jpg
0
1
1
1
1
1
1
0
AP
83
0
0
1
Frontal
0
Canon_Medical
0.2
1
female
1
CheXpert-v1.0/train/patient00255/study13/view1_frontal.jpg
0
0
1
0
1
0
0
0
AP
48
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient00057/study1/view1_frontal.jpg
1
0
0
0
0
0
1
0
AP
48
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient26791/study7/view1_frontal.jpg
0
1
1
1
1
0
1
0
AP
68
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient38868/study4/view1_frontal.jpg
0
1
1
1
1
1
1
0
AP
84
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient43117/study6/view1_frontal.jpg
0
0
0
1
1
0
1
0
AP
79
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient17309/study1/view2_lateral.jpg
0
0
0
0
0
0
0
0
null
46
0
0
0
Lateral
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient35120/study7/view1_frontal.jpg
0
1
1
1
0
0
0
0
AP
66
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient62062/study1/view1_frontal.jpg
0
0
0
0
1
0
0
0
AP
83
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient29732/study29/view1_frontal.jpg
0
0
1
0
0
0
0
0
PA
42
1
0
0
Frontal
0
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient27686/study3/view1_frontal.jpg
0
0
1
0
1
1
1
1
PA
71
0
1
1
Frontal
1
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient13417/study2/view1_frontal.jpg
0
1
1
0
1
1
1
0
AP
76
1
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient62493/study1/view1_frontal.jpg
0
1
0
0
0
0
0
0
AP
37
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient12919/study1/view1_frontal.jpg
0
0
1
1
1
0
1
0
PA
61
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient15048/study2/view1_frontal.jpg
0
0
0
1
1
1
1
0
AP
75
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient19062/study9/view1_frontal.jpg
0
1
1
1
0
0
0
0
AP
52
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient16054/study8/view1_frontal.jpg
0
1
0
0
0
0
1
0
AP
57
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient06951/study10/view1_frontal.jpg
0
1
1
1
1
1
1
0
AP
23
0
0
1
Frontal
1
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient02395/study12/view1_frontal.jpg
0
0
0
0
1
1
0
0
AP
75
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient35375/study4/view1_frontal.jpg
0
1
1
0
0
0
0
0
AP
22
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient27513/study2/view2_lateral.jpg
0
0
1
1
1
1
1
1
null
76
0
0
1
Lateral
1
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient26758/study1/view1_frontal.jpg
0
0
1
1
1
1
1
0
AP
86
0
0
1
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient30413/study6/view2_lateral.jpg
0
1
1
0
0
0
0
0
null
53
1
0
0
Lateral
0
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient12015/study4/view1_frontal.jpg
0
1
1
0
1
1
1
1
AP
65
0
0
1
Frontal
0
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient43052/study12/view1_frontal.jpg
0
0
1
1
0
0
0
0
AP
85
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient30694/study1/view1_frontal.jpg
0
0
0
0
0
0
1
1
PA
83
0
0
1
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient19185/study10/view1_frontal.jpg
0
0
0
0
0
0
1
1
AP
64
1
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient58012/study1/view1_frontal.jpg
0
1
0
1
0
0
1
0
AP
67
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient32465/study1/view1_frontal.jpg
0
1
1
0
1
1
1
0
AP
45
1
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient11228/study1/view2_lateral.jpg
0
0
0
0
0
0
0
0
null
81
0
0
0
Lateral
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient03306/study1/view1_frontal.jpg
0
1
0
0
1
0
1
0
AP
66
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient05705/study1/view1_frontal.jpg
0
0
1
0
0
0
0
1
PA
30
0
1
0
Frontal
1
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient31700/study2/view2_lateral.jpg
0
0
0
0
1
0
0
0
null
58
0
0
0
Lateral
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient12111/study1/view1_frontal.jpg
1
0
0
0
0
0
0
0
AP
49
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient26557/study15/view1_frontal.jpg
0
1
1
0
0
0
0
0
AP
71
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient08493/study3/view2_lateral.jpg
0
0
0
0
0
0
0
0
null
59
0
1
0
Lateral
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient26305/study2/view2_lateral.jpg
0
1
0
0
0
0
0
0
null
21
0
0
0
Lateral
0
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient43731/study5/view1_frontal.jpg
0
1
1
0
1
0
1
0
AP
31
0
0
1
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient15746/study1/view1_frontal.jpg
1
0
0
0
0
0
0
0
AP
31
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient33584/study4/view1_frontal.jpg
0
1
1
1
1
0
1
0
AP
58
0
0
1
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient12701/study8/view2_lateral.jpg
0
0
1
1
1
0
0
0
null
71
0
0
0
Lateral
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient09876/study1/view1_frontal.jpg
1
0
0
0
0
0
0
0
AP
49
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient10910/study2/view1_frontal.jpg
1
0
0
0
0
0
0
0
AP
48
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient24315/study1/view2_lateral.jpg
0
1
1
0
0
0
1
0
null
67
0
0
0
Lateral
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient16206/study29/view1_frontal.jpg
0
1
1
0
1
1
1
1
AP
47
1
0
1
Frontal
1
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient48895/study2/view1_frontal.jpg
0
1
1
1
1
1
1
0
AP
58
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient46388/study1/view1_frontal.jpg
1
0
0
0
0
0
0
1
AP
56
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient49520/study3/view1_frontal.jpg
0
1
1
1
1
1
1
0
AP
44
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient13874/study12/view1_frontal.jpg
0
1
1
1
0
1
0
0
AP
76
0
0
1
Frontal
0
Canon_Medical
0.2
1
male
0
CheXpert-v1.0/train/patient28784/study15/view1_frontal.jpg
0
0
1
0
0
1
0
1
AP
59
0
1
0
Frontal
1
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient05453/study1/view2_frontal.jpg
1
0
0
0
0
0
0
0
PA
37
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
1
CheXpert-v1.0/train/patient20128/study4/view1_frontal.jpg
0
1
1
1
1
1
1
0
AP
83
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
1
CheXpert-v1.0/train/patient27645/study4/view1_frontal.jpg
0
1
1
0
1
1
1
1
AP
75
0
0
1
Frontal
1
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient19652/study2/view1_frontal.jpg
0
1
1
0
1
0
0
0
PA
79
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient13903/study29/view1_frontal.jpg
0
0
0
1
1
0
1
0
AP
66
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient10546/study1/view1_frontal.jpg
1
0
0
0
0
0
0
0
PA
72
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient31095/study4/view1_frontal.jpg
0
1
0
0
0
0
0
0
AP
25
0
0
1
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient00046/study3/view2_lateral.jpg
0
0
0
0
1
0
0
0
null
93
0
0
0
Lateral
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient34668/study3/view1_frontal.jpg
0
0
1
0
1
0
0
0
AP
56
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient36774/study4/view1_frontal.jpg
0
0
0
1
1
0
0
0
AP
64
0
0
0
Frontal
0
Canon_Medical
0.2
0
female
0
CheXpert-v1.0/train/patient54584/study5/view1_frontal.jpg
0
1
1
0
1
0
0
0
AP
66
0
0
0
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient25232/study2/view1_frontal.jpg
0
0
0
0
1
0
1
0
AP
65
0
0
1
Frontal
0
Canon_Medical
0.2
0
male
0
CheXpert-v1.0/train/patient40864/study1/view1_frontal.jpg
0
1
0
0
0
0
0
1
AP
65
1
0
0
Frontal
0
Canon_Medical
0.2
End of preview.

FL-CheX: Federated Learning Benchmark for Chest Disease Classification

Author: Md. Sajjad Ullah
Affiliation: CSE, University of Asia Pacific, Bangladesh
Date: March 2026

Dataset Summary

FL-CheX is the first federated learning benchmark combining demographic, Non-IID, and scanner heterogeneity for chest disease classification research.

15 pre-partitioned FL client nodes built from CheXpert (Stanford) with real DenseNet-121 features.

Load Dataset

from datasets import load_dataset
ds = load_dataset("YOUR_USERNAME/fl-chex-benchmark")

Dataset Structure

  • 5 Demographic nodes (age × gender)
  • 5 Non-IID Hospital nodes (disease-specialized)
  • 5 Scanner nodes (hardware quality variation)

Citation

@misc{flchex2026,
  author = {Md. Sajjad Ullah},
  title  = {FL-CheX: A Federated Learning Benchmark},
  year   = {2026}
}

Downloads last month
7